LinkedIn interview practice

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

Practice from 51 LinkedIn-tagged public coding problems, organized only by the stage, topic, difficulty, and recency metadata FastPrep can verify. The broader public catalog also includes 14 system-design exercises.

Catalog
65 public practice assets (51 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

Phone practice path

Phone Screen

Practice solving while explaining assumptions, tradeoffs, and complexity. Problems are ranked by repeated public catalog sightings.

Solve one end to end

26 LinkedIn-tagged Phone Screen problems available.

CompanyProblemDifficultyPublic evidenceAction
LILinkedIn
Merge N-Ary Trees by KeyTreeHash TableMedium
4 public reportsLast reported Sep 2026
Practice
LILinkedIn
Repeated Shortest Word Distance QueriesArrayHash TableMedium
3 public reportsLast reported Oct 2026
Practice
LILinkedIn
Binary Tree Zigzag Level Order TraversalTreeBreadth-First SearchMedium
3 public reportsLast reported Sep 2026
Practice
LILinkedIn
Maximum Depth of Binary TreeTreeDepth-First SearchEasy
3 public reportsLast reported Sep 2026
Practice
LILinkedIn
Second Minimum in a Tournament TreeTreeDepth-First SearchMedium
3 public reportsLast reported Sep 2026
Practice
LILinkedIn
Known Words Matching Phone DigitsStringHash TableEasy
2 public reportsLast reported Oct 2026
Practice
LILinkedIn
Logistic Regression DiagnosticsMatrixMathMedium
2 public reportsLast reported Oct 2026
Practice
LILinkedIn
Inverse-Depth Nested List SumStringStackMedium
2 public reportsLast reported Sep 2026
Practice
LILinkedIn
Restricted Decimal Number ValidatorStringParsingEasy
2 public reportsLast reported Sep 2026
Practice
LILinkedIn
Flowerbed Capacity QueriesArrayGreedyMedium
2 public reportsLast reported Sep 2026
Practice
LILinkedIn
Sort a Quadratic-Transformed ArrayArrayTwo PointersMedium
1 public reportLast reported Oct 2026
Practice
LILinkedIn
Constant-Time Minimum StackStackArrayEasy
1 public reportLast reported Oct 2026
Practice
LILinkedIn
Randomized String MultisetHash TableArrayHard
1 public reportLast reported Oct 2026
Practice
LILinkedIn
Move the Nth Linked-List Node to the FrontLinked ListEasy
1 public reportLast reported Oct 2026
Practice
LILinkedIn
Rank-Based Cache with a Data SourceDesignHash TableMedium
1 public reportLast reported Oct 2026
Practice
LILinkedIn
Kth Largest Element in an ArrayArraySortingMedium
1 public reportLast reported Oct 2026
Practice
LILinkedIn
Letter Combinations of a Phone NumberStringBacktrackingMedium
1 public reportLast reported Oct 2026
Practice
LILinkedIn
Sum an Arbitrary-Dimensional ArrayArrayEasy
1 public reportLast reported Oct 2026
Practice
LILinkedIn
Find the Intersection Node of Two Linked ListsLinked ListTwo PointersEasy
1 public reportLast reported Sep 2026
Practice
LILinkedIn
Permutations IIStringSortingMedium
1 public reportLast reported Sep 2026
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 seen Oct 2026

Design a Calendar Event Collaboration System

Design event scheduling, attendee responses, calendar reads, and asynchronous invitation delivery.

Open practice
System designLast seen Oct 2026

Design a Personalized Recruiter Outreach Platform

Search a billion-profile talent corpus and generate reviewable outreach grounded in a selected candidate and job.

Open practice
System designLast seen Oct 2026

Design a Time Series Metrics Database

Design a high-cardinality metrics database for durable ingestion, range queries, rollups, late data, and retention.

Open practice
System designLast seen Oct 2026

Design a Personalized Recommendation System

Design event ingestion, candidate retrieval, ranking, and serving for a bounded personalized user-item catalog.

Open practice
System designLast seen Oct 2026

CI/CD Pipeline Orchestration System

Design a multi-tenant CI/CD control plane that safely orchestrates dependency-aware pipeline runs across regional data-plane worker fleets.

Open practice
System designLast seen Oct 2026

Design a Scheduled Job Execution System

Design a durable one-time and recurring job service with stable occurrence identity, at-least-once execution safety, and private object-storage logs for every run.

Open practice
System designLast seen Oct 2026

Design a Job-Click Prediction Platform

Train and serve job-click predictions from member, job, and interaction data without leakage or train-serving skew.

Open practice
System designLast seen Sep 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 seen Sep 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 seen Sep 2026

Design a Recent User-Activity Query System

Design an event-time analytics service that enriches user activity and serves trustworthy recent and historical counts with different latency goals.

Open practice
System designLast seen Sep 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 seen 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 seen 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 seen 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

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