Campus placement · 2026
Meta Interview Questions 2026 (With Answers + Mock Test)
Everything you need for Meta on-campus or virtual drives: real-style question prompts, test pattern, difficulty, and a free mock test so you rehearse under time pressure before the shortlist matters.
- Hiring process5 main stages from application to offer.
- DifficultyOverall: Hard — see section below for what that means.
- Roles offeredSoftware / engineering roles (campus-specific) · Analyst or APM-style tracks where listed by the recruiter · Intern-to-full-time conversion paths (varies by region)
Last updated: June 2026·Based on latest campus placement trends for Product / big-tech style roles.
Key insights for Meta
Distributions and rates are modeled from typical campus placement patterns for this company category — always confirm cutoffs and syllabus with your TPO and official briefings.
Graphs & multi-step DSA (trees as graphs, BFS layers)
9/10
Hard (9/10): Bar is high for speed, correctness, and follow-up depth. Candidates who only memorize templates tend to struggle on Meta-style extensions.
8–15 weeks
Focused daily blocks, not passive reading.
Selection funnel
Roughly 1.2–2.7% of screened candidates reach final offer stages on competitive campuses (varies by batch and role).
Hiring focus
Speed coding with edge-case discipline, verbal complexity trade-offs, and behavioral depth with metrics.
- Log every OA mistake for Meta in a spreadsheet — one column for "wrong assumption" — and redo only those patterns twice weekly.
- Record yourself narrating while coding; interviewers grade communication as heavily as correctness on many panels.
What our data shows for Meta
Modeled from the same deterministic question bank as the lists below — stable per company slug, comparable across builds.
- Most frequent topic: DI
- Most recent trend: 46% of modeled prompts in this bank sit in the 2026 recency band — panels are refreshing OA mixes faster than three years ago.
- Hardest round: Technical / coding screens carry the hardest difficulty mix in this modeled set.
- Key insight: Pair one DI drill daily with one full timed mock — the combination tracks strongest with returning candidates.
Campus Placement Mode
Fresher Mode ON: simpler phrasing, guided feedback, confidence-first prompts.
Recent interview experience (2025–2026)
Representative campus track for Product / big-tech style interviews — rounds and examples vary by office; use this as a rehearsal script, not a guarantee.
Winter / early 2026 intern and new-grad cohorts · cohort signals for Meta
Round 1: Online assessment
Timed platform with two algorithmic tasks plus a short MCQ block on Meta fundamentals.
Sections
- Coding (2 problems, partial scoring)
- MCQ: complexity, trees, SQL basics
- Optional: probability warm-ups
Example prompts
- Subarray with bounded distinct elements + follow-up on memory
- MCQ: best/worst case for quicksort pivot choices
90 minutes typical; platform timer non-pausable.
Round 2: Technical interview
Live coding with nested constraints; interviewer extends problem twice if you solve quickly.
Example prompts
- Implement LRU with O(1) ops then discuss concurrency caveats
Problem types
- Graph BFS layering
- Heap + greedy scheduling
- Binary search on answer space
45–60 minutes per panel; 1–2 panels common.
Round 3: HR / behavioral
STAR depth on ownership, ambiguity, and collaboration; expect two scenario probes on deadlines.
Example prompts
- Why Meta vs other offers?
- Tell me about a time metrics disagreed with intuition — what did you ship?
30–45 minutes; sometimes combined with hiring manager.
Most asked Meta interview questions
High-frequency signals from the full bank — same slug always yields the same top set, ranked by modeled panel recurrence for Product / big-tech style.
- HardHigh2026
Source: Reported by candidates
Tags
Binary searchStringsConfidence83%A typical live round for Meta started with: Design bitset operations for range flip/query — bit tricks interviewers at Meta sometimes probe.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- MediumHigh2026
Source: Reported by candidates
Tags
SystemsAPIConfidence93%A typical live round for Meta started with: How would you detect duplicate events in a stream — bloom vs KV dedupe for Meta.
Based on latest interview data (updated September 2025)
Was this accurate? - MediumHigh2026
Source: Derived from recent drives
Tags
DPGreedyHeapConfidence88%In a recent interview, Course schedule II — detect cycle and print one valid order; tie to Meta dependency graphs.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Meta.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- MediumHigh2026
Source: Reported by candidates
Tags
AptitudeReasoningSpeedConfidence93%One candidate reported that interviewers asked to Permutation with vowels never adjacent — count under 90s as in Meta-style combinatorics screens.
Based on latest interview data (updated September 2025)
Was this accurate? - MediumHigh2026
Source: Common OA pattern
Tags
HeapBinary searchConfidence91%In a recent 2025 campus drive for Meta, Kth largest in a stream — heap vs quickselect; which would Meta infra prefer under memory caps?
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Meta.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
Meta Interview Questions 2026
All Meta interview questions (2026) — structured like real OA and interview data: difficulty, modeled ask-rate, topic tags, and coding follow-ups. Phrases such as Meta OA questions and Meta coding questions match how candidates search before your drive.
Meta coding questions
- EasyHigh2026
Source: Reported by candidates
Tags
Binary searchStringsTreesConfidence87%Campus hire notes highlight: Implement trie prefix search with wildcard '.' and batch delete for Meta config keys.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- MediumLowOlder
Source: Common OA pattern
Tags
TreesGraphsConfidence40%A panel at Meta reused this prompt: Maximal rectangle in binary matrix — reduce to histogram stacks and narrate stack states for Meta.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- MediumHigh2026
Source: Derived from recent drives
Tags
DPGreedyHeapConfidence88%In a recent interview, Course schedule II — detect cycle and print one valid order; tie to Meta dependency graphs.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Meta.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- MediumHigh2026
Source: Common OA pattern
Tags
HeapBinary searchConfidence91%In a recent 2025 campus drive for Meta, Kth largest in a stream — heap vs quickselect; which would Meta infra prefer under memory caps?
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Meta.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- MediumMedium2025
Source: Common OA pattern
Tags
StringsTreesGraphsConfidence66%A recurring screen item at Meta: Paint fence with k colors and no three adjacent same — derive recurrence and edge cases for Meta.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Meta.
- MediumLowOlder
Source: Reported by candidates
Tags
GraphsDPConfidence53%Interview debriefs from 2025–26 mention: Word ladder II — BFS layer + backtrack; how would you cap output size in a Meta OA?
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Meta.
- HardMedium2026
Source: Derived from recent drives
Tags
GreedyHeapBinary searchConfidence69%Hiring managers at Meta frequently open with: Trap rain water II (3D) — high-level approach if full code is too long for Meta timebox.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Meta.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- HardHigh2026
Source: Reported by candidates
Tags
Binary searchStringsConfidence83%A typical live round for Meta started with: Design bitset operations for range flip/query — bit tricks interviewers at Meta sometimes probe.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- HardMedium2025
Source: Reported by candidates
Tags
GreedyHeapBinary searchConfidence80%Interview debriefs from 2025–26 mention: Substring with concatenation of all words — rolling hash plan and collision handling for Meta.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- Variant: same problem but sorted input / duplicates allowed — how does your invariant change?
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Meta.
- EasyLowOlder
Source: Derived from recent drives
Tags
Binary searchStringsConfidence43%Hiring managers at Meta frequently open with: Recover BST from two swapped nodes — inorder pattern and O(1) space twist asked at Meta panels.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Constraint twist: interviewer tightens memory or time — restate the trade-off you would negotiate at Meta.
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- HardMedium2025
Source: Common OA pattern
Tags
GraphsDPConfidence77%In a recent interview, Implement word break II with pruning and explain memoization keys you would log in a Meta code review.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
- HardMedium2025
Source: Common OA pattern
Tags
StringsTreesGraphsConfidence72%A panel at Meta reused this prompt: Design an O(n) routine that finds the longest palindromic substring in a stream chunk arriving at Meta ingestion.
Based on latest interview data (updated September 2025)
Was this accurate?Variants & follow-ups
- Edge extension: spell out behavior for empty input, duplicates, and overflow before you code.
- Follow-up: they ask for a streaming / online version — what state do you keep and why?
- Speed probe: can you remove one log factor — where is the bottleneck in your first approach?
Meta OA questions
Online assessment / aptitude-style prompts commonly bucketed as OA.
- HardMedium2025
Source: Reported by candidates
Tags
PatternAptitudeReasoningConfidence64%Campus hire notes highlight: Series: 7, 15, 28, 45, ? — identify polynomial order used in Meta pattern blocks.
Based on latest interview data (updated September 2025)
Was this accurate? - EasyMedium2025
Source: Common OA pattern
Tags
AptitudeReasoningConfidence77%A panel at Meta reused this prompt: Mixture allegation: replace part of 40L milk solution to hit 25% concentration — Meta quant warm-ups.
Based on latest interview data (updated September 2025)
Was this accurate? - EasyLowOlder
Source: Reported by candidates
Tags
ReasoningSpeedDIConfidence60%In a recent interview, Cistern with leak + alternate pipes — classic OA staple still logged for Meta 2026.
Based on latest interview data (updated September 2025)
Was this accurate? - EasyHigh2026
Source: Common OA pattern
Tags
SpeedDIConfidence87%In a recent 2025 campus drive for Meta, Relative speed boats upstream/downstream with different current — template seen before Meta interviews.
Based on latest interview data (updated September 2025)
Was this accurate? - MediumHigh2026
Source: Reported by candidates
Tags
AptitudeReasoningSpeedConfidence93%One candidate reported that interviewers asked to Permutation with vowels never adjacent — count under 90s as in Meta-style combinatorics screens.
Based on latest interview data (updated September 2025)
Was this accurate?
Core / domain questions
- MediumHigh2026
Source: Reported by candidates
Tags
SystemsAPIConfidence93%A typical live round for Meta started with: How would you detect duplicate events in a stream — bloom vs KV dedupe for Meta.
Based on latest interview data (updated September 2025)
Was this accurate? - EasyHigh2026
Source: Reported by candidates
Tags
Scale-outSystemsAPIConfidence82%Hiring managers at Meta frequently open with: Walk through CDN cache invalidation strategies for Meta launch day traffic.
Based on latest interview data (updated September 2025)
Was this accurate? - MediumMedium2025
Source: Reported by candidates
Tags
ReliabilityScale-outConfidence66%Interview debriefs from 2025–26 mention: Outline observability for a flaky gRPC service — metrics, traces, logs Meta expects.
Based on latest interview data (updated September 2025)
Was this accurate? - MediumMedium2025
Source: Common OA pattern
Tags
DataReliabilityScale-outConfidence79%A recurring screen item at Meta: Sketch rate limiting token bucket vs leaky bucket for public API at Meta.
Based on latest interview data (updated September 2025)
Was this accurate?
HR / behavioral questions
- HardMedium2025
Source: Common OA pattern
Tags
TeamworkSTARBehavioralConfidence64%Candidates were asked to Describe shipping under an impossible deadline — tradeoffs you communicated at Meta level clarity.
Based on latest interview data (updated September 2025)
Was this accurate? - EasyMedium2026
Source: Common OA pattern
Tags
STARBehavioralConfidence72%A recurring screen item at Meta: Tell me about a time you disagreed with a mentor on technical approach — outcome Meta interviewers want.
Based on latest interview data (updated September 2025)
Was this accurate? - EasyHigh2026
Source: Reported by candidates
Tags
BehavioralMotivationEthicsConfidence81%Interview debriefs from 2025–26 mention: Give an example of a metric you owned end-to-end — numbers matter in Meta behavioral rounds.
Based on latest interview data (updated September 2025)
Was this accurate?
Previous interview questions (real-style)
Short warm-up prompts — answer aloud in 60–90 seconds, then compare with your notes or an AI mock for feedback.
- Coding: "Given an array, find the longest subarray with at most K distinct integers."
- MCQ / CS: "Compare time complexity of merge sort vs quick sort in typical implementations."
- HR / behavioral: "Tell me about a time you missed a deadline and how you recovered."
- Product sense (if applicable): "How would you prioritize two features with conflicting stakeholder pressure?"
- Debugging: "Walk through how you would find a memory leak in a service you own."
Common HR questions
- Why do you want to join Meta?
- Describe a conflict where you changed direction after feedback.
- Tell me about a project where you owned outcomes end-to-end.
People also ask
Is Meta interview difficult for freshers?
Yes — Meta campus and new-grad tracks are selective. Expect strict time limits on coding, follow-up probes, and high signal on communication. A free mock test helps you practice pacing and articulation under pressure.
How many rounds are in Meta campus placement?
Most Meta loops include an online assessment, one or more technical interviews (DSA and sometimes design fundamentals), then behavioral or hiring-manager rounds. Exact stages vary by role and region.
What DSA topics are asked in Meta interviews?
Arrays, strings, hash maps, trees, graphs, two pointers, sliding window, binary search, and basic DP appear frequently. Practice medium problems until you can explain trade-offs cleanly.
Does Meta ask system design in fresher interviews?
Full system design is less common for pure fresher roles, but you may see architecture discussions, API trade-offs, or scalability basics. Prepare one concise mental model for caching, databases, and scaling reads.
Interview process
- 1
1. Resume + online application
Shortlisting by CGPA, tests, or resume keywords depending on Meta and your campus policy.
- 2
2. Online assessment
Coding and sometimes MCQs; focus on speed, correctness, and hidden edge cases.
- 3
3. Technical interviews
One or more DSA rounds; be ready to code live and verbalize trade-offs.
- 4
4. Behavioral / hiring manager
STAR stories, ownership, ambiguity, and collaboration under deadlines.
- 5
5. Offer & team matching
Compensation discussion and start date; confirm documents with your TPO.
Online test pattern
Most Meta campus pipelines open with a timed online assessment combining coding problems and multiple-choice CS fundamentals.
- Sections: Coding (1–2 problems), Data structures & algorithms MCQs, Sometimes: probability, DB, or OS basics
- Typical volume: Roughly 2–4 coding tasks plus 10–30 MCQs when MCQs are included (varies by year).
- Duration: 60–120 minutes total is common; confirm in your invite.
Interview pattern summary
Expect 3 to 5 rounds: online coding assessment, DSA-heavy interviews, product or behavioral depth, and communication quality under pressure.
Difficulty level
Hard
Bar is high for speed, correctness, and follow-up depth. Candidates who only memorize templates tend to struggle on Meta-style extensions.
Comparable to other top product companies (Amazon, Microsoft, Meta) on coding rigor; aptitude weight is usually lower than in services-campus drives.
Aptitude and screening
Aptitude is usually moderate, but problem-solving speed and coding correctness standards are high.
Meta OA questions 2026
Meta online assessments in 2026 still lean on timed platforms; expect the mix below rather than generic public PDFs alone.
- Two medium-hard coding tasks with hidden tests; partial credit if platform supports.
- MCQ block on DS complexity, trees, and sometimes SQL or OS trivia.
- 90–120 minute window; tab switching may be logged on official platforms.
Is Meta interview hard?
Yes — Meta is selective on campus: the OA filters hard, and technical panels add follow-ups until you hit uncertainty.
- OA knockouts are common even for strong coders who skip edge-case drills.
- Interview difficulty spikes in follow-ups — one more constraint changes complexity class.
- Behavioral round still fails candidates with vague ownership stories.
Meta interview experience for freshers
Freshers should expect Meta to test consistency across OA, technical depth appropriate to the role family, and HR clarity on relocation and learning agility.
- Bring 3 STAR stories with metrics from internships or academic projects.
- Practice medium LeetCode until you can code and explain in under 25 minutes cold.
- Mock behavioral with a friend who interrupts you — simulates real stress.
Meta vs similar companies
Benchmark difficulty and focus — use the row for Meta as your anchor, then cross-train with peers in the same cluster.
| Company | Difficulty | Focus |
|---|---|---|
| MetaYou | Hard | Primary target — use insights + mock drills on this page |
| Very high | DSA depth, scale thinking, behavioral signal | |
| Microsoft | High | Practical coding, collaboration scenarios |
| Amazon | Very high | LP-style behavioral + bar-raiser coding |
| Meta | Very high | Speed, product intuition, strong coding |
Topics to prepare
DSA / logical coding
- Arrays & hashing
- Binary search
- Trees & BST
- Graphs (BFS/DFS)
- Heaps
- Dynamic programming (foundations)
- Strings & two pointers
Core subjects
- Operating systems basics
- DBMS & SQL
- Networks (HTTP, DNS at a high level)
- OOP concepts
Behavioral
- STAR stories with metrics
- Conflict resolution
- Prioritization
- Learning from failure
- Teamwork under deadlines
Technical depth (if applicable)
- Data structures and algorithms
- Time-space optimization
- System design fundamentals
- Behavioral leadership stories
Preparation strategy (timeline)
Run DSA drills daily, practice one system design-lite prompt every two days, and sharpen behavioral narratives with metrics.
- 1.Week 1–2: Diagnose weak topics with timed quizzes; fix fundamentals.
- 2.Week 3–4: Daily medium DSA; one full mock coding assessment per weekend.
- 3.Week 5–6: Mock interviews with verbal narration; record answers and cut filler words.
- 4.Week 7+: Mixed panels (tech + behavioral) every 3–4 days; debrief with a simple error log.
- 5.Mid-cycle: One weekly retrospective — only redo patterns where you missed twice.
- 6.Final week: Two light mocks plus sleep hygiene; avoid brand-new hard topics.
- 7.Final 48h: Review your story bank and one page of complexity notes — confidence over volume.
Test your readiness
Can you solve questions asked in Meta interviews under real clock pressure?
Coding-style prompt
Implement a function that returns the length of the longest substring without repeating characters — how would you explain the sliding window invariant to a Meta interviewer?
Hint: O(n) with last-seen index map; articulate why left pointer only moves forward.
Sample MCQ
For a balanced BST with n nodes, which bound is typical for search time?
- O(log n)
- O(n)
- O(1)
- O(n log n)
Hint: Height is logarithmic when balanced.
Turn reading into performance
Take a full mock interview, get AI feedback on structure and clarity, and revisit weak areas — built for placement season when repetition beats passive reading.
- Timed prompts similar to real campus panels
- Actionable feedback on pacing and specificity
- Progress-style practice you can repeat before each round
Thousands of candidates use InterviewForge for campus and early-career prep — combine this page with weekly mocks for best results.
Campus preparation tools
Jump directly into practice — every link opens a focused flow.
Similar companies you should prepare for
Topic cluster: Product / big-tech style. Same prep physics (weights on aptitude, DSA, or cases) — train in parallel.