Witeso

Rank	Topic	Frequency	Percentage
1	Array	676	47.2%
2	String	324	22.6%
3	Hash Table	276	19.3%
4	Dynamic Programming	220	15.4%
5	Math	214	14.9%
6	Sorting	174	12.2%
7	Depth-First Search	160	11.2%
8	Tree	133	9.3%
9	Greedy	131	9.1%
10	Breadth-First Search	121	8.4%
11	Binary Tree	115	8.0%
12	Binary Search	113	7.9%
13	Two Pointers	112	7.8%
14	Matrix	108	7.5%
15	Database	93	6.5%
16	Stack	85	5.9%
17	Bit Manipulation	80	5.6%
18	Heap (Priority Queue)	69	4.8%
19	Simulation	68	4.7%
20	Design	68	4.7%
21	Graph Theory	61	4.3%
22	Prefix Sum	56	3.9%
23	Backtracking	55	3.8%
24	Linked List	55	3.8%
25	Counting	53	3.7%
26	Sliding Window	51	3.6%
27	Enumeration	37	2.6%
28	Divide and Conquer	36	2.5%
29	Union-Find	31	2.2%
30	Recursion	31	2.2%
31	Monotonic Stack	28	2.0%
32	Binary Search Tree	26	1.8%
33	Ordered Set	24	1.7%
34	Trie	23	1.6%
35	Memoization	22	1.5%
36	Segment Tree	18	1.3%
37	Number Theory	17	1.2%
38	Hash Function	16	1.1%
39	Geometry	16	1.1%
40	Queue	16	1.1%
41	Bitmask	15	1.0%
42	Topological Sort	15	1.0%
43	Binary Indexed Tree	14	1.0%
44	String Matching	12	0.8%
45	Interactive	12	0.8%
46	Rolling Hash	11	0.8%
47	Shortest Path	11	0.8%
48	Doubly-Linked List	10	0.7%
49	Combinatorics	10	0.7%
50	Data Stream	9	0.6%
51	Game Theory	9	0.6%
52	Merge Sort	8	0.6%
53	Randomized	7	0.5%
54	Bucket Sort	5	0.3%
55	Sweep Line	5	0.3%
56	Concurrency	5	0.3%
57	Iterator	5	0.3%
58	Quickselect	4	0.3%
59	Counting Sort	4	0.3%
60	Brainteaser	4	0.3%
61	Shell	4	0.3%
62	Suffix Array	4	0.3%
63	Probability and Statistics	3	0.2%
64	Monotonic Queue	3	0.2%
65	Reservoir Sampling	3	0.2%
66	Eulerian Circuit	2	0.1%
67	Strongly Connected Component	1	0.1%
68	Minimum Spanning Tree	1	0.1%
69	Radix Sort	1	0.1%

No.	Question Title	Link	Difficulty
1	Count K-th Roots in a Range	Visit	Medium
2	Find the Smallest Balanced Index	Visit	Medium
3	Design Ride Sharing System	Visit	Medium
4	Lexicographically Smallest String After Deleting Duplicate Characters	Visit	Hard
5	Largest Prime from Consecutive Prime Sum	Visit	Medium
6	Restricted	Restricted	Hard
7	Restricted	Restricted	Hard
8	Restricted	Restricted	Hard
9	Restricted	Restricted	Hard
10	Restricted	Restricted	Hard
11	Restricted	Restricted	Hard
12	Restricted	Restricted	Hard
13	Restricted	Restricted	Hard
14	Restricted	Restricted	Hard
15	Restricted	Restricted	Hard

Frequently Asked Questions

Common questions about Meta interviews

Meta's coding interviews are comparable to Google and Netflix in difficulty, with a strong emphasis on clean, efficient code and problem-solving under time pressure. The process is unique due to the 'Bar Raiser' round, which assesses cultural add and leadership principles alongside technical skills. For a competitive edge, dedicate 2-3 months to solving 150-200 LeetCode problems (focusing on medium/hard graph, tree, and DP questions) and practicing 10-15 system design problems if interviewing for SDE-2+ roles.

Focus intensely on graph traversal (BFS/DFS), trees (binary search, traversals), recursion/backtracking, sliding window, and dynamic programming—these appear in over 70% of Meta questions. Meta often tests your ability to extend a basic solution into a scalable one, so practice optimizing from O(n²) to O(n log n) or O(n). Also, be prepared to write production-ready code with clear error handling and comments, as evaluators score code quality separately from correctness.

The biggest mistake is treating the 'Bar Raiser' as a casual chat; you must structure every answer using the STAR method and explicitly reference Meta's 16 Leadership Principles (e.g., 'Focus on Impact'). Technically, candidates fail by not vocalizing their thought process during coding—Meta assessors evaluate how you collaborate and handle hints. Always clarify requirements first, discuss trade-offs, and test with edge cases before coding.

Stand-out candidates demonstrate 'impact-oriented' thinking: they connect solutions to real Meta products (e.g., 'This caching approach could improve Instagram feed latency'). They also proactively ask clarifying questions about scale and constraints, and in the Bar Raiser, share stories where they influenced others or drove cross-team projects. Meta looks for engineers who embody 'Move Fast' but with high-quality execution, so highlight instances where you balanced speed and robustness.

The standard timeline is 1-2 weeks after the final interview, but the Bar Raiser review can extend this to 3-4 weeks. If you haven't heard back within 10 business days, send a polite follow-up to your recruiter. Delays often occur because the hiring committee meets weekly to debate offers; use this time to prepare for potential team-matching calls, which may happen even before a formal offer is extended.

SDE-1 (new grad) focuses almost entirely on DSA (2-3 coding rounds) with basic OOD. SDE-2 expects 1-2 coding rounds plus a dedicated system design round focusing on APIs, data modeling, and trade-offs. SDE-3 includes advanced system design (e.g., design a distributed system), architecture discussions, and leadership principle deep dives. All levels have a Bar Raiser, but senior roles are judged more on technical leadership and mentorship examples.

Use Meta's official engineering blog to understand their tech stack (e.g., React, GraphQL, TaL, Scuba) and incorporate these into system design answers. Practice on Pramp or Interviewing.io for mock interviews with ex-Meta engineers. Study the 'Meta-16' leadership principles and prepare 10-15 stories that align with them. Finally, review recent candidate experiences on Blind/LeetCode discuss to identify recurring question patterns (e.g., 'Shortest Path in a Grid with Obstacles Elimination').

Meta operates on a 'move fast and break things' ethos but with high ownership—you'll ship code to production within your first month. Expect a 6-month ramp-up period where you're expected to independently deliver small features and actively seek feedback via 'peer reviews' and 'propelled' meetings. Success hinges on demonstrating impact (quantify your contributions) and embracing the 'hackathon' mindset of prototyping solutions quickly. New SDEs are matched to teams based on interview feedback and stated preferences, but you can switch teams after 1 year if needed.

Meta Questions

Topic Frequency Analysis

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Frequently Asked Questions