Interview Questions by Companies
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Coupang Infra Interview: Kubernetes Storage Management
Prepare for Coupang infrastructure screens: deep dive into Kubernetes storage, PV/PVC lifecycle, storage classes, and setup steps. Read practice follow-ups.
Coupang ML System Design: Scalable E-commerce Search
Design a scalable e-commerce search system (semantic & vector search) for Coupang. Learn low-latency retrieval, ranking, filtering, and scaling choices.
Coupang System Design: Large Video Upload (Backend)
Plan a scalable, fault-tolerant large video upload system with chunked, resumable uploads, object storage and processing. Review trade-offs and interview prep.
Databricks Behavioral: Skill Development Guide for Engineers
Prepare for Databricks behavioral interview on skill development: learn how to present learning from internships, feedback-driven growth, and handling ambiguity. Practice now.
Databricks Code: Shortest Path in a Fibonacci Tree
Find the node sequence on the path between two labels in a preorder Fibonacci tree (0/1-based). Get an index-based O(k+L) method for Databricks.
Databricks ML Interview: Neural Networks & Transformers
Prepare for the Databricks ML interview: review Transformer components, self-attention, and Word2Vec (Skip-gram/CBOW). Read sample follow-ups and prep tips.
Databricks OOD Question: Scalable Playlist System Design
Design a scalable song playlist system for Databricks interviews — learn data models, APIs, concurrency strategies, and performance trade-offs. Get actionable guidance.
Databricks: Real-Time Harmful Content Detection (ML)
Databricks ML design: build a real-time harmful content detection system. Study architecture, latency trade-offs, monitoring, retraining and interview follow-ups.
Databricks System Design: Multi-threaded Event Logger
Design a multi-threaded event logger: thread-safe, low-latency architecture for high-throughput backends. Covers async batching, durable outputs, and backpressure.
Debug and Extend GPT-style Transformer — OpenAI ML Engineer
Fix 4 intentional bugs in a PyTorch GPT-style transformer, add KV-cache and a token classifier, and reproduce reference training outputs. Learn verification steps.
DoorDash Behavioral Interview: Conflict Resolution
Prepare for DoorDash behavioral interviews on conflict resolution. Learn to structure examples, show de‑escalation and communication skills—practice these tips.
DoorDash Coding Question: Closest BST Node to Target
Find the integer node in a BST closest to a float target. Includes iterative and recursive solutions, complexity, edge cases and interview tips. Practice now.
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