{"id":2081,"date":"2025-05-15T13:37:29","date_gmt":"2025-05-15T13:37:29","guid":{"rendered":"https:\/\/csoasupport.com\/?p=2081"},"modified":"2025-07-11T16:15:00","modified_gmt":"2025-07-11T16:15:00","slug":"linkedin-interview","status":"publish","type":"post","link":"https:\/\/csoasupport.com\/en\/linkedin-interview\/","title":{"rendered":"Linkedin Interview"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"2081\" class=\"elementor elementor-2081\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-74c828c1 e-flex e-con-boxed e-con e-parent\" data-id=\"74c828c1\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-2087ca86 e-con-full e-flex e-con e-child\" data-id=\"2087ca86\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-30248b67 elementor-widget elementor-widget-heading\" data-id=\"30248b67\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Collage Interview Tips: Real Questions Answers &amp; OA Interviews<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3cf927c elementor-widget elementor-widget-heading\" data-id=\"3cf927c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Linkedin Interview Prep: Questions &amp; OA Walkthrough<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2aca54be elementor-widget elementor-widget-heading\" data-id=\"2aca54be\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\" target=\"_blank\">Linkedin OA Interviews - Linkedin Interview Assistance<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6619074 e-flex e-con-boxed e-con e-parent\" data-id=\"6619074\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-771efce3 elementor-widget elementor-widget-text-editor\" data-id=\"771efce3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-sourcepos=\"5:1-5:165\">As the world's leading professional social networking platform, LinkedIn's recruiting process for engineers is unique. The journey usually begins with your resume, and LinkedIn's screening process<strong>attach great importance to<\/strong>Does your background match the requirements of the position<strong>perfect match<\/strong>. I've heard that algorithms are used in the initial screening of resumes to parse them for job-related<strong>byword<\/strong>and with a special emphasis on<strong>Skills certification<\/strong>and past projects<strong>Actual impact<\/strong>Showcase.<\/p><p data-sourcepos=\"7:1-7:120\">Applicants who have successfully passed the resume hurdle will next face the<strong>Online Testing (OA)<\/strong> up. This is mainly a test of your algorithmic skills and problem solving ability, and is an important basis for further evaluation. If you pass the OA test<strong>excellent (person, company etc)<\/strong>, you will usually receive an initial phone call to communicate, primarily to assess your culture fit and communication skills.<\/p><p data-sourcepos=\"9:1-9:171\">After that, it's<strong>Real technical phone interviews<\/strong>The session is up, and there are usually one or two rounds. These interviews focus on your technical skills and problem-solving abilities, and often involve<strong>Real-time programming for problem solving<\/strong>or algorithmic problem discussion. Don't underestimate the phone interview, it's the one that determines whether or not you get into the onsite interview!<strong>crucial step<\/strong>! This is your chance to show off your technical prowess, your communication skills, and whether or not you're<strong>Suitable for integration<\/strong> LinkedIn Cultural Environment<strong>A great opportunity<\/strong>The<\/p><p data-sourcepos=\"11:1-11:197\">If the phone interview goes well, then congratulations on arriving at the<strong>Challenging<\/strong>LinkedIn's on-site interviews are very intense, usually four to six rounds, and are organized in a way that<strong>very compact<\/strong>Maybe.<strong>It lasts all day.<\/strong>. The interview was very<strong>deep<\/strong>The program will cover all aspects of technical competence: usually two rounds of<strong>hardcore programming<\/strong>Interviews to test your algorithmic and data structure skills, one or two rounds of system design interviews to examine your ability to build scalable systems, and at least one round of behavioral interviews to assess your cultural fit and soft skills.<\/p><p data-sourcepos=\"13:1-13:72\">The entire onsite process is characterized by its<strong>Difficulty and depth<\/strong>Known for the purpose of<strong>fully<\/strong>Thoroughly examine the candidate's capabilities in all dimensions of software engineering. Be prepared for a<strong>hard battle<\/strong>Right!<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-70ea7deb e-flex e-con-boxed e-con e-parent\" data-id=\"70ea7deb\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-403bbc91 e-con-full e-flex e-con e-child\" data-id=\"403bbc91\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;sticky&quot;:&quot;top&quot;,&quot;sticky_on&quot;:[&quot;desktop&quot;],&quot;sticky_offset&quot;:25,&quot;sticky_parent&quot;:&quot;yes&quot;,&quot;sticky_effects_offset&quot;:0,&quot;sticky_anchor_link_offset&quot;:0}\">\n\t\t<div class=\"elementor-element elementor-element-a0f597c e-con-full e-flex e-con e-child\" data-id=\"a0f597c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-27e1c3de elementor-toc--minimized-on-tablet elementor-widget elementor-widget-table-of-contents\" data-id=\"27e1c3de\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;headings_by_tags&quot;:[&quot;h2&quot;],&quot;exclude_headings_by_selector&quot;:[],&quot;no_headings_message&quot;:&quot;No headings were found on this page.&quot;,&quot;marker_view&quot;:&quot;bullets&quot;,&quot;icon&quot;:{&quot;value&quot;:&quot;fas fa-circle&quot;,&quot;library&quot;:&quot;fa-solid&quot;,&quot;rendered_tag&quot;:&quot;&lt;svg class=\\&quot;e-font-icon-svg e-fas-circle\\&quot; viewBox=\\&quot;0 0 512 512\\&quot; xmlns=\\&quot;http:\\\/\\\/www.w3.org\\\/2000\\\/svg\\&quot;&gt;&lt;path d=\\&quot;M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 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aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-chevron-down\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M207.029 381.476L12.686 187.132c-9.373-9.373-9.373-24.569 0-33.941l22.667-22.667c9.357-9.357 24.522-9.375 33.901-.04L224 284.505l154.745-154.021c9.379-9.335 24.544-9.317 33.901.04l22.667 22.667c9.373 9.373 9.373 24.569 0 33.941L240.971 381.476c-9.373 9.372-24.569 9.372-33.942 0z\"><\/path><\/svg><\/div>\n\t\t\t\t<div class=\"elementor-toc__toggle-button elementor-toc__toggle-button--collapse\" role=\"button\" tabindex=\"0\" aria-controls=\"elementor-toc__27e1c3de\" aria-expanded=\"true\" aria-label=\"Close Catalog\"><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-chevron-up\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M240.971 130.524l194.343 194.343c9.373 9.373 9.373 24.569 0 33.941l-22.667 22.667c-9.357 9.357-24.522 9.375-33.901.04L224 227.495 69.255 381.516c-9.379 9.335-24.544 9.317-33.901-.04l-22.667-22.667c-9.373-9.373-9.373-24.569 0-33.941L207.03 130.525c9.372-9.373 24.568-9.373 33.941-.001z\"><\/path><\/svg><\/div>\n\t\t\t\t\t<\/div>\n\t\t<div id=\"elementor-toc__27e1c3de\" class=\"elementor-toc__body\">\n\t\t\t<div class=\"elementor-toc__spinner-container\">\n\t\t\t\t<svg class=\"elementor-toc__spinner eicon-animation-spin e-font-icon-svg e-eicon-loading\" aria-hidden=\"true\" viewbox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M500 975V858C696 858 858 696 858 500S696 142 500 142 142 304 142 500H25C25 237 238 25 500 25S975 237 975 500 763 975 500 975Z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6820569f e-con-full e-flex e-con e-child\" data-id=\"6820569f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-62055c35 elementor-widget elementor-widget-image\" data-id=\"62055c35\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img alt=\"\" fetchpriority=\"high\" decoding=\"async\" width=\"837\" height=\"837\" src=\"https:\/\/csoasupport.com\/wp-content\/uploads\/2025\/04\/IMG_20250711_235759.png\" class=\"attachment-large size-large wp-image-4438\" srcset=\"https:\/\/csoasupport.com\/wp-content\/uploads\/2025\/04\/IMG_20250711_235759.png 837w, https:\/\/csoasupport.com\/wp-content\/uploads\/2025\/04\/IMG_20250711_235759-300x300.png 300w, https:\/\/csoasupport.com\/wp-content\/uploads\/2025\/04\/IMG_20250711_235759-150x150.png 150w, https:\/\/csoasupport.com\/wp-content\/uploads\/2025\/04\/IMG_20250711_235759-768x768.png 768w, https:\/\/csoasupport.com\/wp-content\/uploads\/2025\/04\/IMG_20250711_235759-12x12.png 12w\" sizes=\"(max-width: 837px) 100vw, 837px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e033ba elementor-widget elementor-widget-heading\" data-id=\"e033ba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/interview-proxy\/\">For OA assistance, please contact us<\/a><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-44d58ef7 e-con-full e-flex e-con e-child\" data-id=\"44d58ef7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-75a7f2e9 e-con-full e-flex e-con e-child\" data-id=\"75a7f2e9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-551abd10 elementor-widget elementor-widget-heading\" data-id=\"551abd10\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Job Type<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-21d92a20 e-con-full e-flex e-con e-child\" data-id=\"21d92a20\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-7e6b139c e-con-full e-flex e-con e-child\" data-id=\"7e6b139c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4ee42105 elementor-widget elementor-widget-heading\" data-id=\"4ee42105\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">SDE<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-55122c2b elementor-widget elementor-widget-heading\" data-id=\"55122c2b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Responsibilities:Design, develop, test and maintain the core functionality, services and infrastructure of the platform.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6ee645a3 elementor-widget elementor-widget-heading\" data-id=\"6ee645a3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">The interview examines technical points: data structures and algorithms (especially graph traversal, binary lookups, hash tables, etc.), system design (distributed systems, database design, API design), programming language fundamentals, and problem solving skills.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-45b88d88 e-con-full e-flex e-con e-child\" data-id=\"45b88d88\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4661a5be elementor-widget elementor-widget-heading\" data-id=\"4661a5be\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">DE<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-128bd17b elementor-widget elementor-widget-heading\" data-id=\"128bd17b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Responsibilities:Responsible for building, optimizing, and managing large-scale data processing pipelines, ETL processes, and data warehouse systems to ensure efficient inflow, storage, and availability of data to provide a foundation for analytics and machine learning.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-165782ea elementor-widget elementor-widget-heading\" data-id=\"165782ea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Interviews look at technical points : SQL skills, Big Data processing frameworks (e.g. Spark, Hadoop), ETL concepts, data modeling, programming\/scripting skills (Python\/Scala, etc.) and distributed systems fundamentals.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6448ea0f e-con-full e-flex e-con e-child\" data-id=\"6448ea0f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-26e59324 elementor-widget elementor-widget-heading\" data-id=\"26e59324\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">MLE<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-515675a7 elementor-widget elementor-widget-heading\" data-id=\"515675a7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Responsibilities:Develop, implement, deploy and scale machine learning models and systems to apply algorithms to product features such as recommendations, search rankings, content feeds, etc.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1b95a54 elementor-widget elementor-widget-heading\" data-id=\"1b95a54\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">The interview examines technical points: machine learning theory and algorithms, data science fundamentals (statistics, feature engineering), programming implementation skills (Python and related libraries), model evaluation and tuning, and ML system design and deployment.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-364cd45e e-con-full e-flex e-con e-child\" data-id=\"364cd45e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-62a4d80e elementor-widget elementor-widget-heading\" data-id=\"62a4d80e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">SE <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-462a48e6 elementor-widget elementor-widget-heading\" data-id=\"462a48e6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Responsibilities:Protect Link's users, data and systems from cyber threats, involving security architecture design, code security reviews, vulnerability detection and emergency response.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c1d2462 elementor-widget elementor-widget-heading\" data-id=\"1c1d2462\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Interviews examine technical points: network security, application security, cryptography fundamentals, vulnerability analysis and defense, security protocols, authentication and authorization, and system security design.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8ed61d1 e-con-full e-flex e-con e-child\" data-id=\"8ed61d1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-64b16977 elementor-widget elementor-widget-heading\" data-id=\"64b16977\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Key Areas of Tech Interview<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e31d495 elementor-widget elementor-widget-button\" data-id=\"e31d495\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/csoasupport.com\/en\/download-the-latest-linkedin-interview-questions\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-long-arrow-alt-right\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M313.941 216H12c-6.627 0-12 5.373-12 12v56c0 6.627 5.373 12 12 12h301.941v46.059c0 21.382 25.851 32.09 40.971 16.971l86.059-86.059c9.373-9.373 9.373-24.569 0-33.941l-86.059-86.059c-15.119-15.119-40.971-4.411-40.971 16.971V216z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download the latest Collage interview questions<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-115ae43c e-con-full e-flex e-con e-child\" data-id=\"115ae43c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-38ccc202 elementor-widget elementor-widget-text-editor\" data-id=\"38ccc202\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-sourcepos=\"1:1-1:148\">When preparing for a LinkedIn interview, it is crucial to prioritize both depth-first search (DFS) and breadth-first search (BFS) algorithms. In general, basic data structures and binary lookups form the basis of programming questions, which are usually of moderate difficulty. What is unique about the Collage interviews is the relatively greater focus on breadth-first search (BFS), which may reflect their emphasis on algorithmic efficiency and scalability in real-world scenarios.<\/p><p data-sourcepos=\"3:1-3:184\">\n<table id=\"tablepress-17\" class=\"tablepress tablepress-id-17\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Features<\/th><th class=\"column-2\">Percentage<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Misc<\/td><td class=\"column-2\">8.2%<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Simulation<\/td><td class=\"column-2\">1.4%<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">Two Pointers<\/td><td class=\"column-2\">15.1%<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Adv. Data Structure<\/td><td class=\"column-2\">5.5%<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">Backtracking<\/td><td class=\"column-2\">2.7%<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">Basic Data Structure and Algorithm<\/td><td class=\"column-2\">11%<\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">Binary Search<\/td><td class=\"column-2\">9.6%<\/td>\n<\/tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\">Heap<\/td><td class=\"column-2\">4.1%<\/td>\n<\/tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\">Graph<\/td><td class=\"column-2\">2.7%<\/td>\n<\/tr>\n<tr class=\"row-11\">\n\t<td class=\"column-1\">Dynamic Programing<\/td><td class=\"column-2\">8.2%<\/td>\n<\/tr>\n<tr class=\"row-12\">\n\t<td class=\"column-1\">Depth-First Search<\/td><td class=\"column-2\">17.8%<\/td>\n<\/tr>\n<tr class=\"row-13\">\n\t<td class=\"column-1\">Breadth-First Search<\/td><td class=\"column-2\">13.7%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/p><p data-sourcepos=\"1:1-1:146\">Programming interview questions at LinkedIn are moderately difficult and challenging, but usually not at the top difficulty level of Google or Apple. Candidates often encounter questions that focus on graph traversal and binary lookup. While these questions are difficult, they are often easier to get into than questions at top FAANG companies, and strike a good balance between complexity and solvability.<\/p><p data-sourcepos=\"3:1-3:56\">If you look at the percentage of difficulty of the questions, only 201 TP6T were easy questions, the percentage of medium difficulty questions was as high as 651 TP6T, and the remaining 151 TP6T were high difficulty interview questions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-109bd96e e-con-full e-flex e-con e-child\" data-id=\"109bd96e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-241c3f3d elementor-widget elementor-widget-heading\" data-id=\"241c3f3d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Questions and Difficulty<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-27656a1e elementor-widget elementor-widget-text-editor\" data-id=\"27656a1e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>\n<table id=\"tablepress-18\" class=\"tablepress tablepress-id-18\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Common Interview Questions<\/th><th class=\"column-2\">Examining technical points<\/th><th class=\"column-3\">degree of difficulty or ease<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Maximum Stacking<\/td><td class=\"column-2\">Advanced Data Structures<\/td><td class=\"column-3\">challenging<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Design Certification Manager<\/td><td class=\"column-2\">Basic Data Structures and Algorithms<\/td><td class=\"column-3\">medium difficulty<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">All O`one data structures<\/td><td class=\"column-2\">Basic Data Structures and Algorithms<\/td><td class=\"column-3\">challenging<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Nested list weights and II<\/td><td class=\"column-2\">Breadth-first search, depth-first search<\/td><td class=\"column-3\">medium difficulty<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">Nearest binary search tree value II<\/td><td class=\"column-2\">Dichotomous lookup, depth-first lookup, heap, double pointer<\/td><td class=\"column-3\">challenging<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">paint shop<\/td><td class=\"column-2\">dynamic programming<\/td><td class=\"column-3\">medium difficulty<\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">Constructing H2O<\/td><td class=\"column-2\">Basic Data Structures and Algorithms<\/td><td class=\"column-3\">medium difficulty<\/td>\n<\/tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\">Finding the leaves of a binary tree<\/td><td class=\"column-2\">depth-first search<\/td><td class=\"column-3\">medium difficulty<\/td>\n<\/tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\">Shortest Word Distance II<\/td><td class=\"column-2\">dual-pointer<\/td><td class=\"column-3\">medium difficulty<\/td>\n<\/tr>\n<tr class=\"row-11\">\n\t<td class=\"column-1\">The robot is inside the circle.<\/td><td class=\"column-2\">analog (device, as opposed digital)<\/td><td class=\"column-3\">medium difficulty<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3cc50ed1 e-con-full e-flex e-con e-child\" data-id=\"3cc50ed1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-34f70201 elementor-widget elementor-widget-heading\" data-id=\"34f70201\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Linkedin OA (online assessment)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-71001db7 elementor-widget elementor-widget-text-editor\" data-id=\"71001db7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The main purpose of this assessment is to quickly understand whether your basic programming skills are solid or not, to see if you can use core data structures and algorithms, such as graph traversal and bisection lookup, which they particularly value, under time constraints, and to screen out candidates who have the basic technical skills to move on to the next stage. Therefore, when preparing for the exam, you must get these basic concepts and algorithms thoroughly, especially to practice more related topics to ensure that the ideas are clear and the code can run. When you take the test, be sure to read the questions carefully, understand all the requirements and restrictions, while paying special attention to the efficiency and correctness of your code, and don't forget to simply test the edges yourself.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4c2628d0 elementor-widget elementor-widget-heading\" data-id=\"4c2628d0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">SDE<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18364b67 elementor-widget elementor-widget-text-editor\" data-id=\"18364b67\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-sourcepos=\"5:1-5:89\">Software engineer interviews center on programming fundamentals, problem solving skills, algorithmic and data structure skills, and system design skills (especially in mid to senior level positions). They want to see that you can write correct, efficient and readable code and design scalable systems.<\/p><ul data-sourcepos=\"7:1-14:0\"><li data-sourcepos=\"7:1-7:114\"><strong>Examine the technical points:<\/strong> Core data structures (arrays, linked lists, trees, graphs, hash tables, etc.), classical algorithms (sort, find, recursion, dynamic programming), graph traversal (DFS, BFS), binary lookups, programming language features, object oriented design, principles of system design (scalability, reliability, performance), database fundamentals.<\/li><li data-sourcepos=\"8:1-14:0\"><strong>Interview Questions:<\/strong><br \/><ul data-sourcepos=\"9:5-14:0\"><li data-sourcepos=\"9:5-9:29\">Given a graph, find all connected components. (Examining graph traversal)<\/li><li data-sourcepos=\"10:5-10:46\">Implement a function that takes an array of integers and returns all non-overlapping merged intervals. (Examining sorting, interval handling)<\/li><li data-sourcepos=\"11:5-11:48\">How do you design a distributed caching system that supports highly concurrent reads and writes and is able to quickly look up a specific value? (Examine system design)<\/li><li data-sourcepos=\"12:5-12:38\">Find an element in a sorted but rotated array. (Examining binary search variants)<\/li><li data-sourcepos=\"13:5-14:0\">Implement an LRU cache elimination strategy. (Examining the combined application of chained lists, hash tables)<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5656800c elementor-widget elementor-widget-heading\" data-id=\"5656800c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">DE<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d321e9a elementor-widget elementor-widget-text-editor\" data-id=\"1d321e9a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-sourcepos=\"17:1-17:73\">Data Engineer interviews focus on large-scale data processing, data modeling, ETL process design, database knowledge, and the ability to work with distributed data. They want to understand how you build and manage data pipelines efficiently and reliably.<\/p>\n\n<ul data-sourcepos=\"19:1-26:0\">\n \t<li data-sourcepos=\"19:1-19:140\"><strong>Examine the technical points:<\/strong> SQL (Advanced Querying, Performance Optimization), ETL\/ELT Design Principles, Data Warehouse and Data Lake Concepts, Data Modeling (Star, Snowflake Schema), Distributed Data Processing Frameworks (e.g., Apache Spark, Hadoop Ecology), Programming \/ Scripting Skills (Python, Scala), Database Theory, Data Quality and Monitoring.<\/li>\n \t<li data-sourcepos=\"20:1-26:0\"><strong>Interview Questions:<\/strong>\n<ul data-sourcepos=\"21:5-26:0\">\n \t<li data-sourcepos=\"21:5-21:61\">Write a SQL query to find the top 10% customers who purchased in the last three months and calculate their total purchase amount. (Examine advanced SQL)<\/li>\n \t<li data-sourcepos=\"22:5-22:66\">Describe how to design an automated ETL pipeline to import user behavior logs from a message queue into a data warehouse in real time. (Examine ETL design, real-time processing concepts)<\/li>\n \t<li data-sourcepos=\"23:5-23:51\">Which model would you choose when designing a database for storing social network user relationships? Explain why. (Examine data modeling)<\/li>\n \t<li data-sourcepos=\"24:5-24:95\">Explain the difference between Transformation and Action in Apache Spark and the concept of Lazy Evaluation. (Examine the principles of distributed data processing)<\/li>\n \t<li data-sourcepos=\"25:5-26:0\">How to deal with schema drift (data schema change) issues that may arise in data pipelines? (Examining challenges in data engineering practices)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a390ff9 elementor-widget elementor-widget-heading\" data-id=\"7a390ff9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">MLE<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5741adfe elementor-widget elementor-widget-text-editor\" data-id=\"5741adfe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-sourcepos=\"29:1-29:63\">The Machine Learning Engineer interview provides an in-depth look at the theoretical foundations of machine learning, algorithmic understanding, model implementation capabilities, feature engineering, model evaluation and tuning, and considerations for putting models into a production environment.<\/p><ul data-sourcepos=\"31:1-38:0\"><li data-sourcepos=\"31:1-31:117\"><strong>Examine the technical points:<\/strong> Classical machine learning algorithms (linear models, tree models, clustering, dimensionality reduction, etc.), deep learning fundamentals (neural network structures, framework applications), feature engineering, data preprocessing, model evaluation metrics and methods, experimental design, model deployment and monitoring, programming skills (Python and ML libraries), distributed systems fundamentals.<\/li><li data-sourcepos=\"32:1-38:0\"><strong>Interview Questions:<\/strong><ul data-sourcepos=\"33:5-38:0\"><li data-sourcepos=\"33:5-33:63\">Explaining the tradeoff between Bias and Variance, and how to determine if a model is under- or over-fitting? (Examining ML Foundational Concepts)<\/li><li data-sourcepos=\"34:5-34:47\">What evaluation metrics would you use when working with a highly unbalanced categorical dataset? Why? (looking at model evaluation)<\/li><li data-sourcepos=\"35:5-35:49\">How to design a personalized content recommendation system for a large social platform? (Examines ML system design, problem abstraction)<\/li><li data-sourcepos=\"36:5-36:43\">Explain the principles and application scenarios of gradient descent algorithms and their variants such as Adam. (Examine optimization algorithms)<\/li><li data-sourcepos=\"37:5-38:0\">When deploying a machine learning model into a production environment, what do you need to consider to ensure its performance and stability? (Examining model productionization)<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-212c300e elementor-widget elementor-widget-heading\" data-id=\"212c300e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">SE<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bd31dab elementor-widget elementor-widget-text-editor\" data-id=\"bd31dab\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-sourcepos=\"41:1-41:58\">The Security Engineer interview focuses on assessing the candidate's expertise in information security, understanding of common vulnerabilities, ability to design security defense strategies, and ability to respond to security incidents.<\/p><ul data-sourcepos=\"43:1-50:0\"><li data-sourcepos=\"43:1-43:131\"><strong>Examine the technical points:<\/strong> Web Security (OWASP Top 10), Network Security (TCP\/IP, TLS\/SSL, Firewall), Fundamentals of Cryptography (Encryption, Hashing, Digital Signature), Authentication and Authorization Mechanisms, Security Vulnerability Analysis and Exploitation, Secure Coding Practices, Operating System Security, Cloud Computing Security, Secure Architecture Design, and Security Monitoring and Alarm.<\/li><li data-sourcepos=\"44:1-50:0\"><strong>Interview Questions:<\/strong><ul data-sourcepos=\"45:5-50:0\"><li data-sourcepos=\"45:5-45:57\">Explain how cross-site scripting attacks (XSS) and cross-site request forgery (CSRF) work and how to defend against them. (Examining Web Security)<\/li><li data-sourcepos=\"46:5-46:49\">Describe the TLS handshake process and explain how it ensures the confidentiality and integrity of communications. (Examines network security\/cryptography)<\/li><li data-sourcepos=\"47:5-47:60\">If a potential buffer overflow vulnerability is discovered during a code review, how would you determine its harm and recommend a fix? (Examining Vulnerability Analysis and Secure Coding)<\/li><li data-sourcepos=\"48:5-48:41\">When designing a microservices architecture, how do you secure communication between services? (Examining secure architecture design)<\/li><li data-sourcepos=\"49:5-50:0\">If a user account is compromised, what are your initial investigation and response steps as a security engineer? (Examining Security Incident Response)<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3800b2e elementor-widget elementor-widget-heading\" data-id=\"3800b2e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Behavior Questions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-109d48cd elementor-widget elementor-widget-text-editor\" data-id=\"109d48cd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-sourcepos=\"3:1-3:48\">When preparing for an interview, behavioral questions are an important way for the interviewer to learn about your past experience and assess future performance. These questions usually fall into several categories:<\/p><p data-sourcepos=\"5:1-5:10\"><strong>Classical Behavioral Problems<\/strong><\/p><p data-sourcepos=\"7:1-7:22\">These questions examine your ability to cope with basic work scenarios. Example:<\/p><ul data-sourcepos=\"9:1-12:0\"><li data-sourcepos=\"9:1-9:98\">When asked<strong>Need to learn new technologies to complete projects<\/strong>When it comes to your experience, the interviewer wants to know about your ability to adapt and learn quickly. Prepare an example that focuses on how you assessed the situation, the process of learning new technology, and the final successful outcome. You can specifically mention the tools or resources used.<\/li><li data-sourcepos=\"10:1-10:91\">with respect to<strong>Disagreeing with a decision at work<\/strong>, these types of questions are designed to examine your conflict resolution skills. Tell a story that honors all parties, explaining how you made your point and what you did to reach a solution. Emphasize your ability to communicate and collaborate through disagreements.<\/li><li data-sourcepos=\"11:1-12:0\">When asked how<strong>Managing multiple deadlines<\/strong>When doing so, demonstrate your time management and prioritization skills. Explain how you organize tasks, address potential obstacles, and emphasize success in completing projects on time. You can mention the tools or methods you used to track progress.<\/li><\/ul><p data-sourcepos=\"13:1-13:12\"><strong>Teamwork Behavior Problems<\/strong><\/p><p data-sourcepos=\"15:1-15:26\">These types of questions focus on assessing your performance and contribution in a team environment. Example:<\/p><ul data-sourcepos=\"17:1-20:0\"><li data-sourcepos=\"17:1-17:88\">Describing a<strong>Work with a team on challenging projects<\/strong>experience, including project content and your role on the team. Detail specific incidents, strategies for dealing with challenges, and your specific contributions to the team. Highlight communication, conflict resolution and role adaptation skills.<\/li><li data-sourcepos=\"18:1-18:94\">Telling a story<strong>Help resolve disputes between team members<\/strong>experience and how you dealt with it. Emphasize your ability to mediate and how you can help different viewpoints reach agreement. Describe your approach to understanding all parties and finding mutually beneficial solutions, demonstrating your interpersonal and problem-solving skills.<\/li><li data-sourcepos=\"19:1-20:0\">Considering the fact that LinkedIn values<strong>Achieving change through collaboration<\/strong>I might ask you.<strong>How Teamwork Leads to Innovative Solutions<\/strong>Examples. Describe how collaboration stimulates creativity, referring to the diverse inputs of team members and how they lead to novel solutions. Emphasize how the synergy of different skill sets can lead to breakthrough innovations.<\/li><\/ul><p data-sourcepos=\"21:1-21:16\"><strong>Behavioral issues related to job duties<\/strong><\/p><p data-sourcepos=\"23:1-23:34\">These types of questions will look at the application of your specialized skills and value fit in relation to the specific job requirements. Example:<\/p><ul data-sourcepos=\"25:1-28:0\"><li data-sourcepos=\"25:1-25:96\">Describing a<strong>Use programming skills to resolve the absence of a clear solution<\/strong>The experience of the problem. Prepare a scenario that requires analysis and creative thinking. Summarize the challenge, your specific actions (including techniques and tools used), and the results. Highlight any innovative approaches or optimizations that brought success.<\/li><li data-sourcepos=\"26:1-26:87\"><strong>How to ensure code quality and reliability<\/strong>? Discuss how you use practices such as testing frameworks, continuous integration, and code reviews. Emphasize the importance of maintainability and scalability, and any specific methodologies you follow, such as TDD or Agile development.<\/li><li data-sourcepos=\"27:1-28:0\">LinkedIn values<strong>Transformation and creation of economic opportunities<\/strong>.. Could you share a project or initiative that you are involved in.<strong>Fits with Link's vision<\/strong>? Choose a project where you have had a significant impact, preferably a software improvement that benefits users in a meaningful way. Explain your role, the technology involved, and the impact the project had on users or stakeholders. This helps demonstrate your fit with Link's mission and values.<\/li><\/ul><p data-sourcepos=\"29:1-29:76\">The key when preparing these behavioral questions is to use the STAR principles (Situation, Task, Action, Result) to clearly tell your story and highlight your core competencies.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c98666 elementor-widget elementor-widget-heading\" data-id=\"c98666\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Interview Prep<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6ae82dcd elementor-widget elementor-widget-text-editor\" data-id=\"6ae82dcd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-sourcepos=\"1:1-1:274\">To prepare for a technical job interview at Collage, the first and most core and hardcore fundamental skills must be solid. This means that you need to have an in-depth understanding of basic data structures and algorithms and the ability to skillfully apply them, such as arrays, strings, chained lists, trees, graphs, hash tables and other classic data structures must be familiar with. Algorithms, especially to spend energy to practice graph traversal (DFS and BFS), binary lookup, these in the Collage is often the focus of the test. Not just memorize the templates, but understand the principles behind them and the advantages and disadvantages in different scenarios, and be able to analyze time and space complexity. Brush up on some topics corresponding to the difficulty range, develop the ability to quickly clarify ideas, transform ideas into executable code, and focus on the clarity and robustness of the code, and be able to deal with a variety of boundary conditions. Remember, a solid technical background is the cornerstone of your ability to tackle all challenges with confidence!<\/p><p data-sourcepos=\"3:1-3:305\">In addition to your coding abilities, interviewers are also very interested in your overall qualities and potential as an engineer. This means that you need to prepare carefully for behavioral questions - questions that are designed to understand your ability to collaborate, your approach to conflict resolution, your attitude in the face of challenge and uncertainty, and your learning and growth experiences. In particular, think about how your past projects or experiences demonstrate alignment with Leadership's vision of \"connecting the world's professionals to create economic opportunity,\" and prepare examples that highlight your impact, teamwork, and innovative thinking. For more senior roles, system design skills are also important, and you'll need to show how you think about designing scalable, reliable systems. Don't forget that clear, logical communication skills are equally important throughout the interview process, speaking up and interacting with the interviewer. Interview is not only a technical competition, but also a process to fully demonstrate your personal ability and career potential, with a positive mindset to meet it!<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74607e1 elementor-widget elementor-widget-heading\" data-id=\"74607e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">VO Interview Transcript<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7cc40b2 elementor-widget elementor-widget-text-editor\" data-id=\"7cc40b2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-sourcepos=\"3:1-3:173\">At the beginning of the interview, the interviewer threw out a very straightforward question to the candidate about the core business of Collage: \"Imagine that we have a huge amount of data about the users of Collage and the connection relationships between them. These relationships can be represented by a graph where users are nodes and the connections between them are undirected edges. Now, given two users A and B, you need to design an algorithm to find the shortest recommendation path from user A to user B. Here, the \"recommendation path\" is the shortest path from user A to user B, and the \"recommendation path\" is the shortest path to user B. The \"recommendation path\" here has a special requirement: each step in the path must be a first-degree or second-degree connection.\"<\/p><p data-sourcepos=\"5:1-5:328\">When the candidate hears this question, he first thinks of graph shortest path algorithms, such as breadth-first search (BFS). However, the \"one- or two-degree connections\" restriction in the problem made him realize that this is not a simple shortest path. He initially considered precomputing all first- or second-degree connections for each node and then running BFS, but such precomputation can be costly and inefficient when the graph structure is updated frequently. When he was at a standstill, the support team immediately pushed the idea of \"Improved BFS with Dynamic Second Degree Lookup\" - the core of the problem is how to efficiently deal with the limitation of \"second degree connections\". This question centers on how to efficiently deal with the \"two degree connection\" limitation. We can check not only the direct neighbors (first degree connections) but also the neighbors of those direct neighbors (second degree connections) whenever a new node is explored in the standard BFS process. Subdevice Synchronization sent the Python language code framework, highlighting BFS queues, visited collections, and the logic for dynamically finding second-degree connections:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-298bc3a elementor-widget elementor-widget-code-highlight\" data-id=\"298bc3a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"prismjs-twilight copy-to-clipboard\">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python line-numbers\">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\tfrom collections import deque\r\n\r\ndef find_shortest_linkedin_path(graph, user_a, user_b): if user_a == user_b\r\n    if user_a == user_b.\r\n        return [user_a]\r\n\r\n    queue = deque([(user_a, [user_a])]) # (current user, current path)\r\n    visited = {user_a} # Record visited users to avoid duplicate explorations\r\n\r\n    while queue.\r\n        current_user, path = queue.popleft()\r\n\r\n        # Check for one-time connections\r\n        for neighbor in graph.get(current_user, []):\r\n            if neighbor == user_b.\r\n                return path + [neighbor]\r\n            if neighbor not in visited.\r\n                visited.add(neighbor)\r\n                queue.append((neighbor, path + [neighbor]))\r\n\r\n            # Checking second degree connections\r\n            for second_degree_neighbor in graph.get(neighbor, []):\r\n                if second_degree_neighbor == user_b.\r\n                    return path + [neighbor, second_degree_neighbor]\r\n                # Note: the path length of a second degree join is 2, so it only returns when it reaches the goal\r\n                # Otherwise, adding all second-degree connections to the queue may result in a non-shortest path\r\n                # The logic here is to ensure that a second degree connection is only considered a valid path if it connects directly to user_b.\r\n                # Otherwise, it will be treated as a normal one-degree connection in subsequent BFS iterations\r\n\r\n    return None # No path found\r\n\r\n# Example usage\r\nlinkedin_graph = {\r\n    \r\n    \r\n    \"C\": [\"A\", \"G\"], \"D\".\r\n    \"D\": [\"A\", \"H\"], \"E\".\r\n    \"E\": [\"B\", \"G\"], \"F\".\r\n    \"F\": [\"B\"], \"G\".\r\n    \"G\": [\"C\", \"E\"], \"H\".\r\n    \"H\": [\"D\"]\r\n}\r\n\r\n# Find the shortest recommended path from A to B\r\npath = find_shortest_linkedin_path(linkedin_graph, \"A\", \"B\")\r\nprint(f \"Shortest recommended path from A to B: {path}\") # Expected output: Shortest recommended path from A to B: ['A', 'C', 'G', 'E', 'B'] or ['A', 'D', 'H', 'B'] (need to check the logic of the second-degree link further)\r\n\r\n# Let's fix the logic of the second degree join to make sure it forms the shortest path correctly\r\n# The code above handles the second degree join OK if it connects directly to B, but needs to be more careful if the second degree join itself also serves as a new starting point\r\n# The core of BFS is hierarchical traversal, so the node of a second degree join should be accessed at the next layer, not directly added to the current layer\r\n\r\n# Rework the logic of find_shortest_linkedin_path to be more consistent with BFS hierarchical exploration\r\ndef find_shortest_linkedin_path_optimized(graph, user_a, user_b):: if user_a == user_b\r\n    if user_a == user_b.\r\n        return [user_a]\r\n\r\n    # Queue storage (current user, current path)\r\n    queue = deque([(user_a, [user_a])])\r\n    # visited collection stores visited users to avoid loops and double counting\r\n    visited = {user_a}\r\n\r\n    while queue.\r\n        current_user, path = queue.popleft()\r\n\r\n        # Checking for one-step connections (one-step connections)\r\n        for next_user_1 in graph.get(current_user, []):\r\n            if next_user_1 == user_b.\r\n                return path + [next_user_1]\r\n            if next_user_1 not in visited.\r\n                visited.add(next_user_1)\r\n                queue.append((next_user_1, path + [next_user_1]))\r\n\r\n            # Checking a two-step connection (second-degree connection)\r\n            # Note: here we are exploring the neighbors of next_user_1, i.e. from current_user to next_user_1 to next_user_2\r\n            for next_user_2 in graph.get(next_user_1, []):\r\n                # Path length is current_user -&gt; next_user_1 -&gt; next_user_2\r\n                if next_user_2 == user_b.\r\n                    return path + [next_user_1, next_user_2]\r\n                # Note: Second-degree connected nodes are only added to the queue if they have not been visited and can be used as a starting point for the next level of exploration\r\n                # But according to the question, each step in the path must be either a first-degree or second-degree connection, which implies that we only need to check for second-degree connections once\r\n                # and if the second degree connection points to B, then this is a valid recommended path\r\n                # If the second degree node itself needs to be explored further, then it will be treated as the \"next_user_1\" of the first degree connection in subsequent iterations.\r\n\r\n    return None\r\n\r\n# Example usage again\r\npath_optimized = find_shortest_linkedin_path_optimized(linkedin_graph, \"A\", \"B\")\r\nprint(f \"Shortest recommended path from A to B (optimized): {path_optimized}\")\r\n\r\n# Re-verify the path in the example diagram\r\n# A -&gt; C (1 degree)\r\n# C -&gt; G (1 degree)\r\n# G -&gt; E (1 degree)\r\n# E -&gt; B (1 degree)\r\n# Path: A -&gt; C -&gt; G -&gt; E -&gt; B (4 steps, but each step is 1 degree)\r\n\r\n# A -&gt; C (1 degree)\r\n# C's 2nd degree connection:\r\n# C -&gt; G (1 degree), G has neighbors C, E\r\n# C -&gt; G -&gt; E (degree 2)\r\n# If B is E, the path is A -&gt; C -&gt; G -&gt; E -&gt; B\r\n\r\n# Let's re-conceptualize \"each step in the path must be a one or two degree connection.\"\r\n# This means that we can walk from the current node to its first degree connection or to its second degree connection (via an intermediate node).\r\n# Then instead of a fixed step size of 1, the BFS step size is 1 or 2.\r\n# We can modify BFS to try to expand to its 1-hop and 2-hop neighbors each time a node is out of the queue.\r\n\r\ndef find_shortest_linkedin_path_final(graph, user_a, user_b).\r\n    if user_a == user_b.\r\n        return [user_a]\r\n\r\n    queue = deque([(user_a, [user_a])])\r\n    # visited should store the user, not the path, since paths are dynamically constructed\r\n    # But to avoid infinite loops, we need to keep track of the visited users.\r\n    # To keep track of the shortest path here, visited should store (user, length) or just user\r\n    # and should be stopped once the path is found\r\n    visited = {user_a}\r\n\r\n    while queue: current_user, path = queue\r\n        current_user, path = queue.popleft()\r\n\r\n        # Attempt a one-step connection (one-time connection)\r\n        for next_user_1 in graph.get(current_user, []):\r\n            if next_user_1 == user_b.\r\n                return path + [next_user_1]\r\n            if next_user_1 not in visited.\r\n                visited.add(next_user_1)\r\n                queue.append((next_user_1, path + [next_user_1]))\r\n\r\n            # Attempting a two-step join (two-degree join)\r\n            for next_user_2 in graph.get(next_user_1, []):\r\n                # Ensure that next_user_2 is not the current_user itself to avoid an invalid two-way join\r\n                if next_user_2 == current_user.\r\n                    continue\r\n\r\n                if next_user_2 == user_b.\r\n                    return path + [next_user_1, next_user_2] # Note that the path here will include the intermediate node next_user_1\r\n\r\n                # If next_user_2 has not been accessed yet and it is a valid new node\r\n                # we add it to the queue, but note that it arrives after \"two steps\"\r\n                # This means that path + [next_user_1, next_user_2] is the full path\r\n                # The visited mechanism here needs a bit of tweaking to ensure the shortest paths\r\n                # Legacy BFS skips visited nodes when it encounters them, but should also skip visited nodes if they are reached via a longer path\r\n                if next_user_2 not in visited.\r\n                    # For a second degree connection, we are actually finding a longer path, so if the target is user_b, we should return it immediately.\r\n                    # Otherwise, if next_user_2 is added to the queue, then its path length is path length + 2\r\n                    # And if next_user_2 is also reachable via a one-degree connection, then BFS will prioritize the one-degree connection path\r\n                    # The key here is to ensure the shortest path, so next_user_2 is only considered if it's not being accessed\r\n                    # and need to mark next_user_2 as visited\r\n                    # But this may result in a non-shortest path, because if next_user_2 can be reached by a shorter path afterwards\r\n                    # So it would be better to return the second degree path only if the target is found, otherwise only one degree connection is added\r\n                    pass # does not add second-degree connections directly to the queue here, but lets them be processed as first-degree connections in subsequent BFS iterations.\r\n                    # The core idea is that BFS guarantees the shortest tier, if a node can be reached at the current tier by a first degree connection, then it is the shortest.\r\n                    # If it can only be reached by a second degree connection, then it is not considered until the next layer.\r\n\r\n    return None\r\n\r\n# Let's rethink \"each step in the path must be either a first-degree or second-degree connection\".\r\n# This means that the path we can take from A to B is A -&gt; X1 -&gt; X2 -&gt; ... -&gt; B\r\n# where A to X1 can be a 1 degree or 2 degree connection\r\n# X1 to X2 can be 1 or 2 degree connections, and so on.\r\n# This is really a problem of finding the shortest path on a modified graph.\r\n# The modified graph has edge weights of 1 if A and C are 1 degree connected.\r\n# If there is a 2-degree connection between A and D (via E), then the edge weight is 1.\r\n# In this way, the BFS works properly.\r\n\r\n# A clearer solution is:\r\n# 1. Construct a new graph in which an edge is added between two users if there is a 1-degree or 2-degree connection between them.\r\n# 2. Perform standard BFS on the new graph.\r\n\r\n# But the interviewer expects a straightforward solution on the original graph, so we need to handle this dynamically in BFS.\r\n# The optimal BFS handling is that when expanding from current_user we can reach:\r\n# a) a one-time connection from current_user\r\n# b) a one degree connection of a one degree connection of current_user (i.e., a two degree connection of current_user)\r\n\r\n# Let's use a cleaner BFS logic for this:\r\n\r\ndef find_shortest_linkedin_path_final_optimized(graph, user_a, user_b):\r\n    if user_a == user_b.\r\n        return [user_a]\r\n\r\n    # Queue storage (current user, current path)\r\n    queue = deque([(user_a, [user_a])])\r\n    # visited collection to record visited users, avoiding repeated exploration and loops\r\n    visited = {user_a}\r\n\r\n    while queue.\r\n        current_user, path = queue.popleft()\r\n\r\n        # Explore one-time connections\r\n        for direct_friend in graph.get(current_user, []):\r\n            if direct_friend == user_b.\r\n                return path + [direct_friend]\r\n            if direct_friend not in visited: visited.add(direct_friend)\r\n                visited.add(direct_friend)\r\n                queue.append((direct_friend, path + [direct_friend]))\r\n\r\n            # Exploring Second Degree Connections (with direct_friend as the middleman)\r\n            for friend_of_friend in graph.get(direct_friend, []):\r\n                # Ensure that friend_of_friend is not the current_user itself to avoid invalid second degree connections\r\n                if friend_of_friend == current_user.\r\n                    continue\r\n\r\n                if friend_of_friend == current_user: continue\r\n                    # Return the path if the target is found. Here the path will contain intermediaries\r\n                    return path + [direct_friend, friend_of_friend]\r\n\r\n                # If friend_of_friend has not yet been visited and is not user_b, add it to the queue as a new exploration point\r\n                # The length of the path here is path.length + 2, so make sure it's shorter than the path already visited\r\n                # But in BFS, we usually only join once and let BFS handle the hierarchy automatically\r\n                # The key here is that if friend_of_friend is a brand new, unvisited node, and we want it to be the starting point of the next hop\r\n                # Then it should be added to the queue, but at a \"cost\" of 2 steps.\r\n                # Traditional BFS takes one step at a time. To satisfy \"one or two steps\", the BFS steps need to be adjusted!\r\n                # This can be solved by using a modified distance array or by putting (node, distance) into a queue.\r\n\r\n    return None\r\n\r\n# The final, solution that best reflects the intent of the interview:\r\n# We define a BFS \"step\" as a \"one or two degree join\".\r\n# This means that from the current node X, we can reach either Y, the direct neighbor of X (1 step), or W, the direct neighbor of Z, the direct neighbor of X (2 steps).\r\n# The \"step\" here is not the number of edges in the path, but the number of hops in the \"referral relationship\".\r\n\r\ndef find_shortest_linkedin_path_correct(graph, user_a, user_b).\r\n    if user_a == user_b.\r\n        return [user_a]\r\n\r\n    # Queue storage (current user, current path)\r\n    queue = deque([(user_a, [user_a])])\r\n    # Visited collection stores visited users, preventing loops and duplicate exploration\r\n    # The visited collection stores the user, since we care about whether the user has been visited, not which path it was visited through\r\n    visited = {user_a}\r\n\r\n    while queue.\r\n        current_user, path = queue.popleft()\r\n\r\n        # 1. Explore one-time connections (one-step recommendation)\r\n        \r\n            if friend_1 == user_b.\r\n                return path + [friend_1]: if friend_1 == user_b.\r\n            if friend_1 not in visited.\r\n                visited.add(friend_1)\r\n                queue.append((friend_1, path + [friend_1]))\r\n\r\n            # 2. Explore second-degree connectivity (two-step recommendation via friend_1 as an intermediary)\r\n            for friend_2 in graph.get(friend_1, []):\r\n                # Avoid that friend_2 is the current_user itself (i.e., a meaningless second-degree connection like C-A-C)\r\n                if friend_2 == current_user.\r\n                    continue\r\n\r\n                if friend_2 == user_b: # Return path containing current_user.\r\n                    # The returned path contains the intermediary friend_1, which is consistent with the context of a recommended path\r\n                    return path + [friend_1, friend_2]\r\n\r\n                # If friend_2 is a new, unvisited node and it can be reached by a \"two-step\" recommendation, we add it to the team.\r\n                # We add it to the queue as a starting point for the next step of exploration.\r\n                # The key here is to make sure that the BFS finds the shortest path by tier.\r\n                # That is, if friend_2 has already been visited by a shorter path, don't visit it by a longer path.\r\n                # But this is a special \"one or two step\" jump, so more care is needed.\r\n                # The simplest and most BFS-compliant thing to do is to add friend_2 to the queue if it hasn't already been accessed.\r\n                # BFS naturally ensures the shortest.\r\n                if friend_2 not in visited.\r\n                    visited.add(friend_2)\r\n                    queue.append((friend_2, path + [friend_1, friend_2])) # path contains intermediate nodes\r\n\r\n    return None\r\n\r\n# Example usage again\r\nlinkedin_graph_example = {\r\n    \r\n    \r\n    \"C\": [\"A\", \"G\"], \"D\".\r\n    \"D\": [\"A\", \"H\"], \"E\".\r\n    \"E\": [\"B\", \"G\"], \"F\".\r\n    \"F\": [\"B\"], \"G\".\r\n    \"G\": [\"C\", \"E\"], \"H\".\r\n    \"H\": [\"D\"]\r\n}\r\n\r\npath_final_corrected = find_shortest_linkedin_path_correct(linkedin_graph_example, \"A\", \"B\")\r\nprint(f \"Shortest recommended path from A to B (final corrected version): {path_final_corrected}\")\r\n# Expected output: ['A', 'D', 'H', 'B'] or ['A', 'C', 'G', 'E', 'B']\r\n# Let's trace A -&gt; B manually.\r\n# A, go.\r\n# 1.1 degree connection.\r\n# - C: path=['A', 'C']\r\n# - C's 1-degree connection: A, G\r\n# - G: path=['A', 'C', 'G']\r\n# - 1 degree connection of G: C, E\r\n# - E: path=['A', 'C', 'G', 'E']\r\n# - 1 degree connection of E: B, G\r\n# - B: return ['A', 'C', 'G', 'E', 'B'] (this is a 4-step 1-degree join)\r\n# - 2 degree connection of C (via G).\r\n# - The 1st degree connection of G is E. So C can go through G to E. Path ['A', 'C', 'G', 'E']\r\n# If E is B, return ['A', 'C', 'G', 'B'].\r\n\r\n# Correction: the title is \"Each step in the path must be a one or two degree connection\", which means that we're not looking for the shortest 1-degree edge path, but the shortest \"recommended number of hops\".\r\n# That is, A-&gt;B may be a one degree connection, e.g., A-&gt;X-&gt;B. Then the path is [A, X, B] with a hop count of 1. # This means that we are not looking for the shortest 1-degree edge path, but the shortest \"recommended hop count\".\r\n# This means that in BFS, for every node we explore, we can reach its direct neighbor (1 hop) or its second-degree neighbor (1 hop).\r\n# So, what should be stored in our BFS queue is (user, current_recommendation_path), not (user, current_edge_path).\r\n\r\ndef find_shortest_linkedin_path_by_hops(graph, user_a, user_b).\r\n    if user_a == user_b.\r\n        return [user_a]\r\n\r\n    # Queue storage (current user, recommended path)\r\n    queue = deque([(user_a, [user_a])])\r\n    visited = {user_a} # Record of visited users\r\n\r\n    while queue.\r\n        current_user, current_recommendation_path = queue.popleft()\r\n\r\n        # 1. Explore one-step recommendation (once connected)\r\n        for friend_1 in graph.get(current_user, []):: if friend_1 == user_b: current_user\r\n            if friend_1 == user_b.\r\n                return current_recommendation_path + [friend_1]\r\n            if friend_1 not in visited.\r\n                visited.add(friend_1)\r\n                queue.append((friend_1, current_recommendation_path + [friend_1]))\r\n\r\n            # 2. Explore two-step recommendation (second-degree connectivity, with friend_1 as an intermediary)\r\n            for friend_2 in graph.get(friend_1, []):\r\n                # Avoid invalid second degree connections (e.g. A-C-A)\r\n                if friend_2 == current_user.\r\n                    continue\r\n\r\n                if friend_2 == current_user: continue\r\n                    # Return the path if the target is found. The path contains intermediaries\r\n                    return current_recommendation_path + [friend_1, friend_2]\r\n\r\n                # If friend_2 has not been accessed yet, add it to the queue\r\n                # Note that here we are processing friend_2 in the loop of friend_1, which means that friend_2 has the same number of \"hops\" as friend_1\r\n                # This means that friend_2 has the same number of \"hops\" as friend_1, because they are both one or two hops from current_user.\r\n                # The visited mechanism here needs to ensure the shortest path.\r\n                # If friend_2 has already been visited via a shorter \"recommended hop\", then skip it\r\n                if friend_2 not in visited: visited.add(friend_2)\r\n                    visited.add(friend_2)\r\n                    # Key: the path here represents the recommended path from user_a to friend_2\r\n                    # The path includes the intermediary friend_1, which matches the description of the \"recommended path\".\r\n                    # If friend_2 is reached via a second degree connection, then it is a \"jump\" from current_user\r\n                    queue.append((friend_2, current_recommendation_path + [friend_1, friend_2]))\r\n\r\n    return None\r\n\r\n# Example usage again\r\npath_by_hops = find_shortest_linkedin_path_by_hops(linkedin_graph_example, \"A\", \"B\")\r\nprint(f \"Shortest recommended path from A to B (by hops): {path_by_hops}\")\r\n\r\n# Let's manually derive A -&gt; B.\r\n# Start: A, Path: [A]\r\n# Queue: [(A, [A])]\r\n# Pop (A, [A])\r\n# 1. 1 Degree Connection: C, D\r\n# - C: path=[A, C]\r\n# - C not in visited, add C to visited, Queue.append((C, [A, C]))\r\n# - 2nd degree connection (via C).\r\n# - Neighbors of C: A, G\r\n# - A == current_user, skip\r\n# - G: friend_2=G. G not in visited, add G to visited, Queue.append((G, [A, C, G]))\r\n# - D: path=[A, D]\r\n# - D not in visited, add D to visited, Queue.append((D, [A, D]))\r\n# - 2 degree connection (via D).\r\n# - Neighbors of D: A, H\r\n# - A == current_user, skip\r\n# - H: friend_2=H. H not in visited, add H to visited, Queue.append((H, [A, D, H]))\r\n# Queue: [(C, [A, C]), (D, [A, D]), (G, [A, C, G]), (H, [A, D, H])] (order may vary)\r\n\r\n# Pop (C, [A, C])\r\n# 1. 1 Degree Connection: A, G\r\n# - A == current_user, skip\r\n# - G: visited. G already visited, skip\r\n# - 2 degree connection (via A): (won't happen because A is current_user)\r\n# - 2 degree connection (via G).\r\n# - G's neighbors: C, E\r\n# - C == current_user, skip\r\n# - E: friend_2=E. E not in visited, add E to visited, Queue.append((E, [A, C, G, E]))\r\n\r\n# Pop (D, [A, D])\r\n# 1. 1 Degree Connection: A, H\r\n# - A == current_user, skip\r\n# - H: visited. H already visited, skip\r\n# - 2 degree connection (via A): (won't happen)\r\n# - 2 degree connection (via H).\r\n# - H's neighbor: D\r\n# - D == current_user, skip\r\n# - no B here, so no direct return\r\n\r\n# Pop (G, [A, C, G])\r\n# 1. 1 degree connection: C, E\r\n# - C: visited. C already visited, skip\r\n# - E: E not in visited, add E to visited, Queue.append((E, [A, C, G, E]))\r\n# - 2nd degree connection (via C).\r\n# - Neighbors of C: A, G\r\n# - A == current_user, skip\r\n# - G == current_user, skip\r\n# - 2 degree connection (via E).\r\n# - E's neighbors: B, G\r\n# - B: friend_2=B. B == user_b. RETURN [A, C, G, E, B]\r\n# finds B at this point and returns ['A', 'C', 'G', 'E', 'B'].\r\n\r\n# This is the shortest recommended path we would expect. &lt;\/xmp\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d3477a4 elementor-widget elementor-widget-text-editor\" data-id=\"d3477a4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Following our hints, the candidate quickly grasps the heart of the problem - \"each step must be a one or two degree connection\" means that this is not simply a shortest path, but a shortest path problem after defining the new \"step lengths\". The shortest path problem after defining a new \"step length\". He clearly illustrated how this can be achieved by modifying the standard breadth-first search (BFS) algorithm: during BFS traversal, whenever a user is taken out of the queue, not only its directly connected users (one degree connections) are explored, but also the directly connected users of its directly connected users (two degree connections) are explored, and these newly discovered and unvisited users are added to the queue. He emphasized the critical role of visited collections in avoiding repeated exploration and ensuring that the shortest path is found, and demonstrated how to dynamically construct recommended paths that include intermediate nodes.<\/p><p>The candidate further explained that this approach skillfully incorporates the constraint of \"one degree or two degree connection\" into every step of BFS exploration, which ensures that the paths found are the shortest \"recommended hop count\" paths. The interviewer highly recognized this approach and appreciated the candidate's ability to combine the abstract graph theory algorithm with the actual business scenarios of Leadtek.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-15ac828e e-flex e-con-boxed e-con e-parent\" data-id=\"15ac828e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-6ad753d9 e-con-full e-flex e-con e-child\" data-id=\"6ad753d9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5daa14a5 elementor-widget elementor-widget-heading\" data-id=\"5daa14a5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">OA Interviews in North America<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-35c908b3 e-con-full e-flex e-con e-child\" data-id=\"35c908b3\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-27338c40 elementor-widget elementor-widget-heading\" data-id=\"27338c40\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/amazon-interview\/\">1. amazon VO real questions and interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-30bd2ce9 elementor-widget elementor-widget-heading\" data-id=\"30bd2ce9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/google-interview\/\">2. Google VO questions and interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64b965c4 elementor-widget elementor-widget-heading\" data-id=\"64b965c4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/meta-interview\/\">3. Facebook VO questions and interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-43959ccf elementor-widget elementor-widget-heading\" data-id=\"43959ccf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/microsoft-interview\/\">4. Microsoft VO questions and interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7509352f elementor-widget elementor-widget-heading\" data-id=\"7509352f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/netflix-interview\/\">5. Nifty VO Questions and Interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1981ecf elementor-widget elementor-widget-heading\" data-id=\"1981ecf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/twitter-interview\/\">6. Twitter VO questions and interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f021d13 elementor-widget elementor-widget-heading\" data-id=\"f021d13\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/tesla-interview\/\">7.Tesla VO Questions and Interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fde6945 elementor-widget elementor-widget-heading\" data-id=\"6fde6945\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/tiktok-interview\/\">8.byte jump VO real questions and interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6e60c868 elementor-widget elementor-widget-heading\" data-id=\"6e60c868\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/oracle-interview\/\">9.Oracle VO real questions and interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5e53c84 elementor-widget elementor-widget-heading\" data-id=\"5e53c84\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/apple-interview\/\">10. Apple VO real questions and interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-763401d2 elementor-widget elementor-widget-heading\" data-id=\"763401d2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/nvidia-interview\/\">11.NVIDIA VO Questions and Interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bfc6b5 elementor-widget elementor-widget-heading\" data-id=\"4bfc6b5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/csoasupport.com\/en\/stripe-interview\/\">12.Stripe VO Questions and Interviews<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Collage Interview Tips: Real Questions Answers &amp; OA Interviews Lin [...]<\/p>","protected":false},"author":1,"featured_media":2084,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"none","_seopress_titles_title":"\u9886\u82f1\u9762\u8bd5\u6d41\u7a0b | \u9762\u8bd5\u771f\u9898 | Linkedin OA\u9762\u7ecf | SDE\u9762\u8bd5 | VO\u8f85\u52a9","_seopress_titles_desc":"\u5feb\u901f\u4e86\u89e3\u6700\u65b0\u7684\u9886\u82f1\u9762\u7ecf\u3001\u6d41\u7a0b\u3001\u771f\u9898\u7b49\u4e00\u5e94\u4ff1\u5168\u7684\u4fe1\u606f\u6c47\u603b\uff0c\u52a9\u4f60\u5feb\u901f\u4e86\u89e3\u548c\u638c\u63e1Linkedin\u9762\u8bd5\u6240\u9700\u7684\u77e5\u8bc6\u548c\u6280\u80fd\uff0c\u627eCSOAsupport - 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