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Perplexity Interview Question Bank

Perplexity interviews lean toward long, product-flavored engineering simulations rather than generic LeetCode. Candidates should expect Python-first coding, incremental multi-part specs, careful edge-case preservation across parts, and system-design conversations tied closely to search, discovery, retrieval, inference, and operational reliability.

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ToDo List for AI

Implement a multi-part ToDoList with TaskStatus, Task, and ToDoList classes. Later parts add task dependencies, blocked / ready transitions, and cascade failure propagation over parent-child dependency links.

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OJ Problems

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21 total

Design an In-Memory File System with Shell Commands Command-Line In-Memory File System Design In-Memory File System Design an In-Memory Unix File System and Implement Basic Commands Implement an OOP ToDo List with Task CRUD, Status, and Dependencies (Cascade Updates)Design an In-Memory File System (Trie-based)Debug Failures (Identify Root Cause from Symptoms)Log Processing (Parsing & Aggregation)DFS with Memoization (Top-Down DP)Fix Existing Code (Bug Fixing)Parse citation numbers from paragraphs and reorder/deduplicate sources by first appearance Build a Discover-like News Feed Page with Infinite Scroll and Repeating Layout Implement a Dependency-Aware Todo List with Cascade Failure Estimate Token Count Implement Tokenize Function Understand Code Functionality Optimize Byte Tokenization and Estimate Token Count Implement ToDo list for AI Depth-First Search Problem Binary Classification using scikit-learn Implement ToDo List for AI

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