Salesforce Interview Tips: VO Questions & OA Interviews
The interview process at Salesforce typically begins with a resume screening that looks at a candidate's project experience, technical background, and fit with the requirements of the job opening. We value candidates with hands-on experience using Salesforce-related products such as Sales Cloud, Service Cloud, Experience Cloud, etc. We also look for candidates who have experience working with a variety of Salesforce products, such as Sales Cloud, Service Cloud, and Experience Cloud.
Applicants who pass the resume screening process move on to a first round of phone or video interviews. This round of interviews is typically conducted by a hiring manager or senior member of the team and is designed to assess the candidate's professional skills, understanding of the Salesforce ecosystem, and their ability to solve real-world problems. Interviews may include Salesforce development (Apex, Lightning Web Components), administrative configuration (process automation, rights management), and understanding of business processes in different industries.
Candidates who successfully pass the first round of interviews move on to a second round of multi-person interviews (Superday or Panel Interview). This round usually involves multiple team members, including product managers, technical architects, or senior engineers, for a more comprehensive assessment. The interviews go into more depth:
Technical Details: In-depth discussion of technical challenges and solutions from your past projects, such as how to optimize complex Apex transactions, or how to design scalable Lightning components.
Situational questions: The interviewer will present some business scenarios or technical challenges to assess your problem solving skills and innovative thinking.
Teamwork: In addition to technical skills, we value our candidates' communication skills, teamwork, and customer-oriented thinking. At Salesforce, we emphasize cross-functional collaboration to create value for our customers.
Throughout the interview process, the interviewer not only focuses on your professional knowledge and practical ability, but also attaches great importance to your willingness to continue learning and ability to adapt to change.
When most people think of Salesforce, the label "CRM giant" comes to mind. However, its in-house technical team's dedication and challenges in cutting-edge areas such as AI, cloud computing, and microservices architecture have long since reached or even surpassed the level of traditional Internet giants! Because of this, Salesforce's interview style is also unique: it does not pursue "algorithmic scrolls", but highly focused on "system landing ability" and "engineering thinking". The interview style of Salesforce is also unique: it does not pursue "algorithmic inclusions", but focuses highly on "system implementation ability" and "engineering thinking", and tests the candidate's real-world engineering quality in all aspects.
In this article, we will combine multiple interview assistance experiences to compile Salesforce high-frequency questions, and bring you an in-depth analysis of the core test points and efficient answer strategies behind each question.
Examples of OA interview questions
Here's a string for you. $S$Please calculate and return $S$ The number of non-empty and distinct subsequences of echoes, and since the answer may be large, could you please return the result for the $10^9 + 7$ The value after taking the mold.
draw attention to sth.: A subsequence can be obtained by deleting any character in the original string without changing the relative order of the remaining characters, and a palindrome is a string that reads the same both forward and backward.
Problem Solving Ideas:
Although this problem is about calculating the subsequence of a palindrome, the nature of its overlapping subproblems is similar to the original problem (calculating the number of occurrences of the subsequence) in that both must rely on dynamic programming to solve it.
Dynamic Planning Definition: found $DP[i][j]$ means that the string $S$ substring of a function (math.) $S[i..j]$ in the number of non-empty and distinct palindromic subsequences.
Objective: What we need to ask for is $DP[0][N-1]$which $N$ is a string $S$ The length of the
state transfer equation (SGE)
We pass the first and last characters of the substring $S[i]$ respond in singing $S[j]$ to discuss the situation in context:
| state of affairs | prerequisite | Transfer equation (S[i..j]) | account for |
| Case 1 | $S[i] \neq S[j]$ | $DP[i][j] = DP[i+1][j] + DP[i][j-1] - DP[i+1][j-1]$ | It's like calculating the concatenation of sets $A \cup B = A + B - A \cap B$The$DP[i+1][j]$ Contains all the data that does not begin with $S[i]$ The opening palindrome subsequence;$DP[i][j-1]$ Contains all the data that does not begin with $S[j]$ The ending palindrome subsequence. Adding the two will double-count the $DP[i+1][j-1]$(i.e., it does not contain $S[i]$ respond in singing $S[j]$ of the echo subsequence) and therefore need to be subtracted. |
| Case 2 | $S[i] = S[j] = c$ | $DP[i][j]$ is slightly more complicated to compute and requires consideration of the character $c$ exist $S[i+1..j-1]$ Position in. | The new echo subsequence added at this point consists of:
a) Single character $c$ (Number 1)
b) Double characters $cc$ (Number 1)
c) by $c$ wrapped $S[i+1..j-1]$ The subsequence of echoes in the $c$ + (palindromes of $S[i+1..j-1]$) + $c$ (Number $DP[i+1][j-1]$). |
Case 2 Refinement ($S[i] = S[j] = c$)
To avoid double counting, we need to find the $S[i+1..j-1]$ consultations with $S[i]$ Position of the first occurrence of the same character $L$ and last seen position $R$The
$L$:: $S[L] = c$, and $i < L$
$R$:: $S[R] = c$, and $R < j$
| scenario | Relationship between L and R | transfer equation | account for |
| Case 2.1 | $L$ Does not exist ($S[i+1..j-1]$ not included $c$) | $DP[i][j] = 2 \cdot DP[i+1][j-1] + 2$ | New palindromic subsequence:
1. Single characters $c$ (1)
2. Double characters $cc$ (1)
3. $c$ wrapped $S[i+1..j-1]$ The echo subsequence ($DP[i+1][j-1]$ individual).
4. $S[i+1..j-1]$ All the echo subsequences in (i.e. $DP[i+1][j-1]$ (a) |
| Case 2.2 | $L = R$ ($S[i+1..j-1]$ There is only one $c$) | $DP[i][j] = 2 \cdot DP[i+1][j-1] + 1$ | Compared to Case 2.1, there is only one less $cc$ sequence (because $c$ There is only one, and it cannot be formed $cc$). |
| Case 2.3 | $L < R$ ($S[i+1..j-1]$ Two or more of $c$) | $DP[i][j] = 2 \cdot DP[i+1][j-1] - DP[L+1][R-1]$ | $2 \cdot DP[i+1][j-1] + 2$ be sure toForget it. $c$ wrapped $S[L..R]$ of the echo subsequences. Because these sequencescan eitherleave it (to sb) $S[i]$ respond in singing $S[j]$ package generation.as wellleave it (to sb) $S[L]$ respond in singing $S[R]$ package generation. Therefore, it is necessary to subtract $S[L+1..R-1]$ The number of echo subsequences in $DP[L+1][R-1]$The |
boundary condition
Substring length $L=1$ ($i=j$): $DP[i][i] = 1$ (single character $S[i]$ themselves).
Substring length $L=2$ ($i=j-1$): $DP[i][i+1] = 2$ (if $S[i] \neq S[i+1]$) or $3$ (if $S[i] = S[i+1]$namely $S[i], S[i+1], S[i]S[i+1]$ Three).
algorithmic structure
Starting with a short substring, gradually calculate the long substring (i.e., traverse the substring length) $L=1$ until (a time) $N$).
def countPalindromicSubsequences(S: str) -> int.
MOD = 10**9 + 7
N = len(S)
# DP[i][j] stores the number of distinct palindromic subsequences of S[i..j]
dp = [[0] * N for _ in range(N)]
# 1. Initialization (L=1)
for i in range(N).
dp[i][i] = 1
# 2. Iterate over substring length L
for L in range(2, N + 1): dp[i][i] = #
# Iterate over the starting point i
for i in range(N - L + 1): j = i + L - 1: #
j = i + L - 1
# Case 1: S[i] ! = S[j]
if S[i] ! = S[j].
# Tolerance principle: dp[i+1][j] + dp[i][j-1] - dp[i+1][j-1]
# Add MOD to prevent negative numbers, then take the modulus
dp[i][j] = (dp[i+1][j] + dp[i][j-1] - dp[i+1][j-1] + MOD) % MOD
# Case 2: S[i] == S[j]
else: c = S[i] == S[j].
c = S[i]
# Find the first occurrence L and the last occurrence R of c in S[i+1..j-1].
L_idx = -1
R_idx = -1
# Find L_idx
for k in range(i + 1, j).
if S[k] == c.
L_idx = k
break
# looking for R_idx
for k in range(j - 1, i, -1): if S[k] == c.
if S[k] == c.
R_idx = k
break
# Subcase 2.1: c does not exist in S[i+1..j-1] (L_idx == -1)
c (L_idx == -1) if L_idx == -1.
# 2 * dp[i+1][j-1] + 2 (single character c and double character cc)
dp[i][j] = (2 * dp[i+1][j-1] + 2) % MOD
# Subcase 2.2: Only one in S[i+1..j-1] c (L_idx == R_idx)
elif L_idx == R_idx.
# 2 * dp[i+1][j-1] + 1 (one less cc because there is only one c)
dp[i][j] = (2 * dp[i+1][j-1] + 1) % MOD
# Subcase 2.3: two or more c in S[i+1..j-1] (L_idx < R_idx)
else.
# 2 * dp[i+1][j-1] - dp[L_idx+1][R_idx-1] (minus double counting)
# Use again (. + MOD) % MOD Avoid negative numbers
dp[i][j] = (2 * dp[i+1][j-1] - dp[L_idx+1][R_idx-1] + MOD) % MOD
return dp[0][N-1]</xmp
VO Four rounds of interview details
| classifier for laps, turns, rounds | Duration/level | Focused examination content | Core Technology Points |
| first round (of match, or election) | 20 Minutes Behavior + Technology | HF system design: How to design a high-performance Auto-Complete service. | Behavioral Interviewing, Trie Tree/Search Indexing, Distributed Caching, Low Latency Design. |
| second round (of match, or election) | Director level | Higher-order behavioral interviewing: An in-depth look at professional experiences, leadership, conflict resolution, and more. | STAR Principles, Leadership, Culture Fit. |
| third round | technical interview | Moderately difficult coding questions: Processes lists of strings, implements data cleansing (de-punctuation) andSynonym/Duplicate Search(defined based on whether the two words before and after are the same). | String processing, hash tables/collections, data preprocessing. |
| fourth round (of match, or election) | system design | Complex scheduling system design: Designing a scalable Job SchedulerIt is capable of sending emails/SMS to customers on a regular and batch basis and supports theFollow-upLogic. | Message queues, timed tasks (Cron), distributed scheduling, state machine design. |
Interview Prep
To successfully pass the Salesforce interview, you need to prepare for the following in advance: first of all, technically you must not just stay in simple add, delete, change, and check (CRUD), but also delve into complex system design questions, especially to understand how to realize privilege isolation under Salesforce's unique multi-tenant architecture, such as mastering the concepts of Role Based Access Control (RBAC) and Field Level Security (FLS). This includes concepts such as role-based access control (RBAC) and field-level security. Second, the Behavioral Interview is critical, so be sure to use the STAR framework to structure your responses to not only describe the event, but also to reflect and summarize "what was learned" in depth, and to avoid being perfunctory. Finally, targeted preparation is highly effective. It is recommended that you review each interview, noting the questions, points, and answer structure, and ideally, obtain a Salesforce-focused question bank to concentrate on high frequency coding and design questions, especially core design concepts such as the metadata-driven permission model. model.
