Interview Questions by Rounds
Explore questions by interview round type. 34 rounds available.
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Questions
Implement k-Fold Cross-Validation From Scratch — Uber
Implement k-fold, stratified, and time-series CV from scratch for ML evaluation. Includes split contracts, reproducibility, and aggregate metric. Read on to prepare.
Integer Overflow Interview Question - Salesforce Prep
Prepare for an Integer Overflow interview question at Salesforce: understand causes, C/C++ vs Java behavior, detection tools, and prevention techniques.
Intuit Coding Question: Sum of Palindrome Modification Costs
Sum minimum single-character changes to make every substring of a DNA string a palindrome. Learn two-pointer and combinatorics approaches for Intuit coding prep.
Intuit CS Foundation: Database Pagination Techniques
Master pagination in MySQL and DynamoDB: LIMIT/OFFSET, ROW_NUMBER, keyset (seek) and LastEvaluatedKey. See performance trade-offs, optimizations, and examples.
Intuit ML Foundation: Model Optimization Interview
Intuit ML Foundation model optimization: fine‑tuning, hyperparameter tuning, architecture trade-offs, AutoML, and validation metrics. Practice with examples.
LinkedIn Behavioral Interview: Project Management Skills
Prepare for LinkedIn behavioral project management questions on task prioritization, deadline management, and stakeholder communication — practice answers & examples now.
LinkedIn Infrastructure Interview: Caching Strategies
Prepare for LinkedIn infra interviews: compare write-through vs write-back caching, evaluate consistency vs performance trade-offs, and review common follow-ups.
LinkedIn ML: Large-Scale Streaming Mean & Variance
Compute population mean and variance in one pass over massive float streams. Includes mergeable, numerically stable summaries for distributed ML systems — try it.
LinkedIn ML System Design: Real-Time Nearby Recommendations
Build a low-latency, scalable ML system to recommend nearby places in real time. Get architecture, dataflow, personalization tips, and interview follow-ups.
LinkedIn OS Interview: Processes, Threads & Memory
Prepare for LinkedIn Operating Systems interviews: processes, threads, memory, synchronization, IPC. See what to expect, skills to show, and how to practice.
LinkedIn System Design: Scalable Monitoring (Metrics/Logs)
Design a LinkedIn-scale monitoring system for metrics, logs and traces. Explore architecture, ingestion, storage, querying, alerting, and scaling for interviews.
LinkedIn T9 Coding Question: Phone-Keyboard Word Match
T9 phone-keypad matching: return dictionary words matching a digit string per position (case-insensitive). Includes precompute index and query API design.
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