LinkedIn OA Questions 2023: What Candidates Actually Saw
Last updated: May 2026
14+ LinkedIn online assessment questions reported by candidates who took the OA in 2023. Sourced from 1Point3Acres, LeetCode, Blind, Glassdoor, and Reddit. Data grows as new reports are added.
LinkedIn OA Format in 2023
The LinkedIn online assessment has followed a consistent format across multiple hiring cycles. Based on 2023 reports in the database, candidates typically see 2 to 3 algorithmic coding problems delivered through a proctored online platform (most commonly HackerRank). Some roles include additional behavioral or work-simulation components after the coding section.
Time limits reported by candidates range from 70 to 110 minutes for the full assessment. The coding problems are auto-graded, so edge case handling and runtime efficiency both matter. Partial credit is available on some platforms if your solution passes a subset of test cases.
Real LinkedIn OA Questions from 2023
Linkedin OA
You have just arrived in a new city and would like to see its sights. Each sight is located in a square and you have assigned each a beauty value....
Linkedin Internship OA Q3
There were 3 questions (easy - medium) asked in the OA with a time limit of 1.5 hours. Question 3 was a the same as Design Authentication Manager, but the the...
DocuSign Machine Coding Round | Senior Frontend Developer | Bangalore
Hello Everyone, Recently a recruiter from DocuSign reached out to me via LinkedIn. He arranged a machine coding round with me. The interviewer was based out of Seattle so this interview...
AthenaHeallth | AMTS | Bangalore[Ghosted]
Current company: big Serviced-based MNC Experience: 1.3 years YOP: 2021 Education: Mechanical Engg. from tier-3/4 college in Bengaluru Application process: Applied through linkedin referral after seeing job posting and got hackerrank OA link after 2...
Wayfair | Software Engineer L2 | Bangalore | June 2023 [Rejected]
Background: Education: B.E in CS (Tier 1) Years of Experience: 3 Current: SDE I in ecommerce company Location: Bangalore, India Date: June 2023 Application Source: Linkedin OA: Duration: 60 mins Total questions: 3 (Two Coding and One SQL Query),...
Walmart | SDE | Bangalore | July 2023
Offcampus Opportunity ### Online Assessment I would like to thank my senior who gave me a referral for this position. I came across this amazing opportunity via Job Posting on Unstop. Resume Tips: 1....
LinkedIn | SWE Intern | Bangalore | On-campus
Hey Everyone, Below is my interview experience for the Role of SWE Intern at LinkedIn for the Summer of 2024. It was an on-campus opportunity. Online Assessment: The test was conducted...
Booking holdings | SDE-2 | Bangalore | Selected
Applied via linkedIn(didn\'t think I would get shortlisted as the job posting had our 1000 applicants), recruiter reached out with a hackerrank test. Hackerrank test It was a spring boot project with...
Tiger Analytics | lead React Native Developer| Oct 2023 (Selected)
Position : Lead React Native Developer location : chennai Date : Oct 10th 2023 YOE: 6 years Tech Stack : React Native,Javascript, and TypeScript Current company : service based company college: tier -3 I...
LinkedIn | LinkedIn CoachIn 3.0 (SDE) | India | March 2022 [Selected]
Status: Second year BTech Student Position: LinkedIn CoachIn 3.0 Mentee Location: India Date: March 2022 Application Process: 1. Application Form \t\u2022 Some personal basic details to be filled in the form along with LinkedIn Id. 2. Online...
Lytx | SWE 2 | Backend | Interview Experience
This is a overview of the whole process and how it took place. How Lytx hires Offcampus I will explain the whole process and your questions will get answered overall through...
Disey+ Hotstar | SDE1 | Remote | Oct 2022 [Offer]
Applied through linkedin via referral, in the offcampus drive of Disney+ Hotstar around July 2022. After one month got selected for the OA. I was able to do two questions...
LinkedIn CoachIn OA || 2025 Batch || With Solution
1. Question No - 1 <img src="https://assets.leetcode.com/users/images/52c2405e-4f67-4e62-8d0b-15a6b3e3bd2a_1681709678.2063973.jpeg" width="30%" /> int n = jumps.size(); int mini = 1e9; int sum = 0; for(auto &it:jumps){ sum+=it; mini = min(mini,sum); } if(mini>0) cout<<1; else...
Dolat Capital Pvt. Ltd | Oncampus | OA Round
Company Name: Dolat Capital Pvt Ltd. Job Profile: Software Developer (C++) There were 2 coding sections which comprised of 2 questions in each section. - Section 1 1. First question was on flipping...
Topic Breakdown (2023 OA)
Topics reported by candidates who took the LinkedIn OA in 2023:
Difficulty Breakdown (2023 OA)
7
easy
2
hard
Difficulty labels are reported by candidates or inferred from LeetCode ratings.
How to Prepare for the LinkedIn OA
The LinkedIn OA is a timed, auto-graded coding test. Preparation is different from interview prep: you need to optimize for both correctness and speed, since partial credit requires passing test cases, not just showing reasoning.
- Practice timed sessions. Set a timer for 35 to 45 minutes per problem and simulate the real constraint.
- Focus on the topic clusters that appear most in LinkedIn OA reports: dynamic programming, graphs, arrays, and strings make up the majority of reported problems.
- Read the problem constraints carefully before writing code. The constraints often reveal the expected time complexity and algorithm type.
- Use the LeakCode database to review 2023 OA questions from actual candidates. Pattern recognition across multiple sightings is a stronger prep signal than any single mock problem.
- If the OA includes a work simulation section, practice under realistic conditions. This section tests judgment and values alignment, not coding ability.
FAQ
What does the LinkedIn OA look like in 2023?
Based on 2023 candidate reports, the LinkedIn OA typically includes 2 to 3 coding problems and runs 70 to 110 minutes. Topics lean toward dynamic programming, graphs, arrays, and strings. Some roles include a work simulation section after the coding component.
How long is the LinkedIn OA?
Most candidates report 70 to 90 minutes for the coding component. Roles with additional work simulation sections extend the total time to 110 to 150 minutes. Check your invitation email for the exact time allocation for your specific role.
What platform does LinkedIn use for the OA?
LinkedIn uses HackerRank or its own proprietary platform depending on the role and hiring cycle. Your invitation will specify the platform. Both platforms support multiple languages including Python, Java, C++, and JavaScript.
Are these real LinkedIn OA questions?
Yes. All questions in the LeakCode database come from candidate reports on 1Point3Acres, Blind, Glassdoor, Reddit, and LeetCode. They are not AI-generated. Each question links to its source where available.
Other LinkedIn OA Years
Related: LinkedIn OA Hub · LinkedIn All Questions · All OA Questions · Data Sources