LinkedIn interview practice

LinkedIn Coding Interview and System Design Questions Start with verified evidence.

Practice from 21 LinkedIn-tagged public coding problems, organized only by the stage, topic, difficulty, and recency metadata FastPrep can verify. The broader public catalog also includes 8 system-design exercises.

Catalog
29 public practice assets (21 coding)
Start here
Use the stage named in your invitation
Evidence
OA · Phone · Onsite metadata, shown in context
LinkedIn practice workspace
Stage-led · public FastPrep catalog

OA practice path

Online Assessment

Build a timed implementation rhythm from prompt to edge cases. Problems are ranked by repeated public catalog sightings.

Solve one end to end

8 LinkedIn-tagged Online Assessment problems available.

CompanyProblemDifficultyPublic evidenceAction
LILinkedIn
Find the PathGraphBinary SearchHard
1 public reportLast reported Mar 2025
Practice
LILinkedIn
Split Array Largest SumDynamic ProgrammingBinary SearchMedium
1 public reportLast reported Mar 2025
Practice
LILinkedIn
Longest String ChainDynamic ProgrammingHash TableMedium
1 public reportLast reported Feb 2025
Practice
LILinkedIn
Find Number of Perfect PairsArrayMathMedium
1 public reportLast reported Feb 2025
Practice
LILinkedIn
Optimize Context SwitchingGreedyArrayHard
1 public reportLast reported Oct 2024
Practice
LILinkedIn
Efficient TrekDynamic ProgrammingArrayHard
1 public reportLast reported Oct 2024
Practice
LILinkedIn
Get Process TimeDynamic ProgrammingGreedyHard
1 public reportLast reported Oct 2024
Practice
LILinkedIn
Find the SubstringStringTwo PointersEasy
1 public reportLast reported Sep 2024
Practice

01 · Preparation plan

Optimize repeated work, then preserve structured state.

LinkedIn's mixed catalog supports a progression from repeated queries to structured-data operations and service design. The key preparation question is what to precompute and what to maintain after updates. LinkedIn spelling variants share this one page so the same company does not acquire competing practice owners. This is a suggested practice sequence, not the employer's interview process. Your invitation and recruiter guidance remain the source of truth.

  1. 01

    Index positions for repeated queries

    Preprocess the document once for a batch of queries between two distinct words known to occur in it. Compare rescanning with retaining each word's ordered positions, keeping preprocessing cost separate from query cost.

    • Use the guaranteed distinct-word contract rather than inventing a same-word rule.
    • Compare two sorted position lists without checking every pair.
    • Return distances in query order and explain the preprocessing-versus-query tradeoff.
    Practice: Repeated Shortest Word Distance Queries
  2. 02

    Merge trees by identity, not position

    The N-ary tree merge exercise asks you to decide what makes two nodes the same. Matching children by their order can silently produce incorrect results.

    • Define key collision behavior.
    • Test children appearing in only one tree.
    • Preserve the output ordering required by the prompt.
    Practice: Merge N-Ary Trees by Key
  3. 03

    Preserve the specified N-ary tree wire format

    This codec has an existing protocol: preorder value:childCount tokens separated by a pipe, with canonical parenthesized tree text on decoding. Follow that grammar rather than designing a new escaping or length-prefix scheme.

    • Track each node's remaining children while preserving sibling order.
    • Test a leaf, multiple children, and deep nesting within the valid nonempty-tree contract.
    • Check round-trip structure and return one result per operation in its original order.
    Practice: N-Ary Tree Codec Operations

02 · Broader technical practice

Practice beyond standalone coding questions.

These public LinkedIn-tagged exercises cover additional technical formats. They are included only when a verified catalog record and a crawlable practice page both exist.

System designLast reported Aug 2026

Design a Job Listing Freshness Platform

Design a platform that detects stale job listings, reconciles conflicting evidence, and keeps candidate-facing discovery current.

Open practice
System designLast reported Aug 2026

Malicious IP Traffic Filtering Platform

Design a global system that derives time-bounded IP traffic decisions and enforces them at low-latency ingress points.

Open practice
System designLast reported Aug 2026

Design a High-Throughput Single-Node Key-Value Store

Design one-node storage for fifty million key-value pairs and a million operations per second, then define the boundary where the constraint must change.

Open practice
System designLast reported Aug 2026

Design an Ads Bidding, Pacing, and Forecast Platform

Design an online bid and budget-pacing path backed by a rule-based pacer and a versioned machine-learning forecast pipeline with a safe fallback.

Open practice
System designLast reported Aug 2026

Design a Rolling Shared-Article Leaderboard

Maintain top-N shared articles across five-minute, one-hour, and twenty-four-hour rolling windows.

Open practice
System designLast reported Aug 2026

Design a Scheduled Job Execution System

Design a durable service that stores future jobs, dispatches them when due, and records retryable execution outcomes safely.

Open practice
System designLast reported Aug 2026

Design a Ranked Hybrid Social Feed

Design a scalable ranked feed that combines queued fanout, read-time merging, bounded inbox history, and immediate visibility for a user's own posts.

Open practice
System designLast reported Jul 2026

CI/CD Pipeline Orchestration System

Design a multi-tenant CI/CD orchestrator that executes dependency-aware pipeline runs on isolated workers and recovers safely from retries and failures.

Open practice

03 · Evidence boundary

What “LinkedIn interview questions” means here.

It means practicing transferable implementation, testing, and technical reasoning with public catalog assets FastPrep tags to LinkedIn. It does not mean FastPrep has access to the company's assessments or any private interview bank.

Repeated public sightings and last-reported dates can help you prioritize practice, but they cannot predict the questions, format, or platform in a specific interview.

  • Only LinkedIn-tagged FastPrep catalog problems appear above.
  • Stage labels and report dates remain visible as context.
  • No official, private, leaked, or proprietary questions are claimed.

04 · Plain answers

LinkedIn interview practice questions, answered plainly.

This page owns technical-practice intent for LinkedIn. Hiring activity, timelines, and market signals remain on the separate hiring-insights page.

01Why does this LinkedIn plan emphasize repeated queries?

The public inventory contains exercises such as repeated word-distance queries and large sorted-array operations, where preprocessing can change query cost. That makes reuse of prior work a useful study theme. It is an editorial recommendation from the practice set, not a claim that every LinkedIn interview asks the same pattern.

02Is FastPrep affiliated with LinkedIn?

No. FastPrep is an independent interview-preparation product and is not affiliated with LinkedIn. The page uses FastPrep's public practice catalog and does not claim official, private, leaked, or proprietary employer questions.

03How are LinkedIn problems assigned to interview stages?

Stage labels come from FastPrep's public problem metadata. A problem can carry more than one reported stage, and hiring processes can change by role, level, location, and date. Treat the labels as preparation context, not a guarantee.

04Which LinkedIn interview stage should I practice first?

Start with the stage named in your invitation or recruiter message. If no stage is known, use the largest available set to build general problem-solving fluency, then rehearse explanation and testing separately.

05Does this page predict the LinkedIn interview process?

No. Public catalog counts, stage tags, and last-reported dates can help prioritize practice, but they cannot predict a specific interview's questions, sequence, timing, or platform.

Your next stage, made concrete

Pick a problem. Solve it end to end.

Start with the stage named in your invitation, then use public evidence as context—not as a promise of what you will be asked.

Open the practice set