Amazon Interview Questions

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Google
Microsoft
Amazon

Google Coding Question: Task Scheduling with Precedence

Minimal makespan for DAG tasks with durations and precedence constraints on unlimited or M CPUs. Includes algorithms, complexity notes, and follow-ups.

Machine Learning Engineer, Software EngineerMid Level
cs foundation
Google
Amazon
Microsoft

Google CS: Memory Management & Go Slices Interview

Prep for Google's memory management interview: study virtual memory, paging, page faults, and Go slices. Get tips, examples, and follow-ups to practice.

Software Engineer, Systems EngineerEntry Level
coding
Home Depot
Amazon
Walmart

Home Depot Coding Question: Reorder Merge Sort Pseudocode

Reconstruct and implement Merge Sort pseudocode from a Home Depot coding screen. Practice ordering, translating to code, and analyzing time/space complexity.

Software Engineer, Backend EngineerEntry Level
coding
IBM
Amazon
Google

IBM Coding Question: Min Insertions to Form 'abc' Problem

Minimize insertions to convert a lowercase string into repeated "abc" blocks. Learn a greedy two-pointer approach, complexity, and interview follow-ups.

Software Engineer, Backend EngineerEntry Level
online assessment
IBM
Google
Amazon

IBM Online Assessment: Make Network Connected - Union Find

Solve IBM's 'Make Network Connected' OA: use Union-Find or DFS to count components, check m<n-1, compute minimal rewirings, and get implementation tips.

Software Engineer, Backend EngineerEntry Level
cs foundation
Salesforce
Microsoft
Amazon

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.

Software Engineer, Backend EngineerEntry Level
cs foundation
Intuit
Amazon
LinkedIn

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.

Software Engineer, Backend EngineerEntry Level
ml foundation
Intuit
Google
Amazon

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.

Software Engineer, ML EngineerEntry Level
infrastructure foundation
LinkedIn
Google
Amazon

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.

Software Engineer, Backend EngineerEntry Level
ml coding
LinkedIn
Google
Amazon

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.

Machine Learning Engineer, Data ScientistMid Level
coding
Oracle
Amazon
Google

LRU Cache Implementation - Oracle Coding Interview

Implement an O(1) LRU cache with get/put, fixed-capacity eviction, and Java follow-ups (collections choices, thread-safety, GC, equals/hashCode). Read tips.

Software Engineer, Backend EngineerEntry Level
coding
Lyft
Google
Amazon

Lyft Coding Interview: Persistent Read Wrapper (read4)

Build a persistent read wrapper using read4 that preserves leftover characters across successive read() calls. Practice stateful iterator design—solve it now.

Software Engineer, Backend EngineerEntry Level

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