Anthropic Interview Questions
Practice the exact questions companies are asking right now.
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
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"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
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"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Implement a crash-resilient LRU cache
Implement an LRU-based memoization helper with behavior similar to a standard Python LRU cache. You are given an interface like this: `python class LR...
How to stream a large file to 1000 hosts fastest
Problem You need to distribute a very large file stored in cloud object storage to 1000 servers in a data center. - The WAN link from cloud storage → ...
Design GPU inference request batching
Design a system that serves online model-inference requests on GPUs. Requests arrive one at a time from clients, but GPU throughput is much better whe...
Implement an in-memory DB with TTL backup/restore
Problem Design an in-memory database that stores values in a nested structure: - key (string) → field (string) → value (string) - Each (key, field) en...
Design stack with O(1) minimum query
Design a stack-like data structure that supports the following operations, each in O(1) time: - push(x): push integer x onto the stack - pop(): remove...
How do you handle an LLM agents interview?
You have an interview on your agenda titled “Agents Interview.” Explain how you would approach this interview if it is about designing and evaluating ...
Design guardrails and fallback for LLM reliability
You operate a production application that uses an LLM to generate user-facing outputs (text actions, advice, summaries). The model is non-deterministi...
Implement a web crawler using a provided API
Web Crawler (BFS) You are implementing a simple web crawler. Given - A starting URL startUrl. - A provided API: - List<String> getUrls(String url) w...
Implement staircase printing and distributed mode/median
Problem A: Print a “staircase” pattern Implement a function that prints a staircase with n rows. Input - An integer n (n >= 1) Output - Print n lines....
Generate outputs for images and pipelines
You are given m input images and n processing pipelines. - Each pipeline is an ordered list of k operations (e.g., resize, rotate, crop, blur, color t...
Design a distributed web crawler
Problem Design a web crawler that starts from one or more seed URLs and continuously discovers and fetches pages. Requirements - Inputs: One or more s...
Design a high-concurrency LLM inference service
You are designing an LLM inference platform that serves interactive user requests (chat/completions) on GPUs. Goals - Support high concurrency with pr...
Implement an LRU cache
Implement a fixed-capacity key-value cache with least-recently-used eviction. Support the following operations: - get(key) -> value: return the value ...
How do you review a design document?
You have an interview on your agenda titled “Design Doc Review.” You are given a written design document for a new feature/service (or a major change ...
Explain multithreading vs multiprocessing
In the context of implementing a crawler, answer the following: 1. What is the difference between multithreading and multiprocessing? 2. How do these ...
How do you lead under risk and uncertainty?
Answer the following engineering leadership questions (EM/Senior level). Use specific examples. 1. Tell me about a time you rejected a technically exc...
How do you design an A/B experiment?
You have an interview on your agenda titled “Experiment Design.” You are asked to design an online experiment (A/B test) for a product change. Describ...
Find duplicate files and apply image operations
Part A — Find duplicate files by content You are given a list of directory records. Each record is a string describing a directory path followed by on...
Describe your most impactful project
Tell me about the project where you had the most impact. Explain the business or user problem, why it mattered, what your specific role was, the harde...
Optimize HTTP requests for speed and limits
You are building a service that needs to send HTTP requests to a large number of URLs (for example, a simple web crawler or data fetcher). The naive i...