Amazon Exam Pattern and Syllabus
Check Amazon exam pattern, syllabus, sections, duration, coding round details, aptitude topics, and placement preparation strategy.
Exam: Amazon SDE-I Online Assessment (OA) · Platform: Amazon Assessment Platform (HackerRank) · Duration: 200 minutes (2.5-3 hours) · Total questions: 49
Exam Sections and Syllabus
🐛 Code Debugging (OA1)
Duration: 20 minutes · 7 questions
7 debugging MCQs or snippet fixes in 20 minutes for intern/new grad roles
A. Debugging MCQs
Debugging MCQs for new graduate/intern roles only
- Logic or syntax bug fixes in code samples
- Java, C, C++ code debugging
- Algorithm logic correction
- Code snippet analysis and fixes
💻 Coding Assessment (OA2)
Duration: 70 minutes · 2 questions
Two problems: one easy/medium, one medium/hard in 70 minutes
A. Programming Problems
Two coding problems with focus on data structures and algorithms
- Arrays, strings, hashmaps, sliding window
- Recursion, dynamic programming
- Graph algorithms and optimization
- One easy/medium, one medium/hard problem
B. Language Support
Multiple programming languages supported with focus on efficiency
- C, C++, Java, Python, JavaScript
- Ruby, Swift, C# allowed
- Code optimization and efficiency
- Test case management and edge cases
🎯 Work Simulation (OA3)
Duration: 60 minutes · 1 questions
Work simulation with scenario-based modules mimicking typical SDE decisions
A. Scenario-Based Modules
Scenario-based modules mimicking typical SDE decisions
- Typical SDE decision scenarios
- Workplace situation handling
- Technical problem-solving in context
- Amazon culture and principles application
🧭 Work Style Assessment (OA3)
Duration: 15 minutes · 15 questions
Slider-style situational judgment aligned with Amazon Leadership Principles
A. Amazon Leadership Principles
Slider-style situational judgment aligned with Amazon Leadership Principles
- Customer Obsession and ownership
- Earn Trust and dive deep
- Have backbone and deliver results
- Insist on highest standards
- Think big and bias for action
🧠 Logical Reasoning (Optional)
Duration: 35 minutes · 24 questions
24 MCQs in 35 minutes on deductive/inductive reasoning (may appear separately or bundled)
A. Deductive/Inductive Reasoning
Deductive/inductive reasoning assessment
- Logical reasoning MCQs
- Pattern recognition and analysis
- Critical thinking assessment
- May appear separately or bundled in OA3
Eligibility Criteria
- Bachelor's degree or higher in Computer Science, Computer Engineering, or closely related fields (Software Engineering, Information Science)
- Batch eligibility: 2022, 2023, 2024, 2025, 2026 graduates (some internal listings may reference 2023-2024 primarily)
- Work experience: Up to 1 year of non-internship software development experience preferred; freshers without internships still eligible
- Technical fit: Proficiency in at least one programming language (C++, Java, Python, or Perl)
- Strong foundational knowledge: Data Structures & Algorithms, Complexity Analysis, Object-Oriented Programming (OOP), Problem-solving and logical design
- Preferred qualifications: Previous technical internship or substantial project experience highly valued
- Familiarity with distributed systems, cloud infrastructure (AWS), microservices architecture, and database design considered a plus
- Clear communication skills and ability to articulate technical problems and solutions preferred
- Only full-time degree holders eligible; part-time or correspondence programs not accepted
- Avoid applying again if taken Amazon interview or assessment within last 6 months
Selection Process
- Stage 1 - Online Assessment (OA) - Up to 4 components totaling around 180 minutes (2.5-3 hours) including Code Debugging (20 min), Coding Assessment (70 min), Work Simulation (60 min), Work Style Assessment (15 min), and optional Logical Reasoning (35 min)
- Stage 2 - Technical Interview (1-2 rounds) - 45-60 minutes each focusing on coding problems, system design, and technical deep-dive questions
- Stage 3 - Bar Raiser / Leadership Round - 45-60 minutes assessing leadership principles, behavioral scenarios, and Amazon culture fit
- Stage 4 - HR Interview - 30-45 minutes covering career goals, behavioral questions, and final company alignment
- Document Verification - Final verification of academic credentials, work authorization, and eligibility requirements
Preparation Tips
- Practice LeetCode Medium-level problems focusing on arrays, strings, hashmaps, sliding window, recursion, DP
- Prepare for debugging rounds (OA1) with code analysis and bug identification practice
- Study Amazon's Leadership Principles thoroughly for work simulation and style assessment
- Practice scenario-based decision making aligned with Amazon culture
- Take full mock OAs under timed conditions (2.5-3 hours)
- Focus on coding efficiency and optimization with multiple test cases
- Prepare for both easy/medium and medium/hard coding problems
- Practice logical reasoning if that section appears in your OA
- Note: Many candidates finish OA within ~2.5 hours, but full sessions can extend to 3-4 hours depending on sections included
Frequently Asked Questions
What is the Amazon SDE-I Online Assessment (OA) exam pattern?
Amazon SDE-I Online Assessment (OA) is conducted on Amazon Assessment Platform (HackerRank) and consists of 5 sections with a total of 49 questions across 200 minutes (2.5-3 hours).
How many sections are there in Amazon SDE-I Online Assessment (OA)?
Amazon SDE-I Online Assessment (OA) has 5 sections: Code Debugging (OA1), Coding Assessment (OA2), Work Simulation (OA3), Work Style Assessment (OA3), Logical Reasoning (Optional).
What topics are covered in Amazon SDE-I Online Assessment (OA)?
Amazon SDE-I Online Assessment (OA) covers Debugging MCQs, Programming Problems, Language Support, Scenario-Based Modules, Amazon Leadership Principles, Deductive/Inductive Reasoning.
What is the eligibility criteria for Amazon?
Bachelor's degree or higher in Computer Science, Computer Engineering, or closely related fields (Software Engineering, Information Science). Batch eligibility: 2022, 2023, 2024, 2025, 2026 graduates (some internal listings may reference 2023-2024 primarily). Work experience: Up to 1 year of non-internship software development experience preferred; freshers without internships still eligible. Technical fit: Proficiency in at least one programming language (C++, Java, Python, or Perl). Strong foundational knowledge: Data Structures & Algorithms, Complexity Analysis, Object-Oriented Programming (OOP), Problem-solving and logical design. Preferred qualifications: Previous technical internship or substantial project experience highly valued. Familiarity with distributed systems, cloud infrastructure (AWS), microservices architecture, and database design considered a plus. Clear communication skills and ability to articulate technical problems and solutions preferred. Only full-time degree holders eligible; part-time or correspondence programs not accepted. Avoid applying again if taken Amazon interview or assessment within last 6 months.
What is the selection process after the Amazon SDE-I Online Assessment (OA) exam?
Stage 1 - Online Assessment (OA) - Up to 4 components totaling around 180 minutes (2.5-3 hours) including Code Debugging (20 min), Coding Assessment (70 min), Work Simulation (60 min), Work Style Assessment (15 min), and optional Logical Reasoning (35 min) Stage 2 - Technical Interview (1-2 rounds) - 45-60 minutes each focusing on coding problems, system design, and technical deep-dive questions Stage 3 - Bar Raiser / Leadership Round - 45-60 minutes assessing leadership principles, behavioral scenarios, and Amazon culture fit Stage 4 - HR Interview - 30-45 minutes covering career goals, behavioral questions, and final company alignment Document Verification - Final verification of academic credentials, work authorization, and eligibility requirements
How can I prepare for Amazon SDE-I Online Assessment (OA)?
Practice LeetCode Medium-level problems focusing on arrays, strings, hashmaps, sliding window, recursion, DP. Prepare for debugging rounds (OA1) with code analysis and bug identification practice. Study Amazon's Leadership Principles thoroughly for work simulation and style assessment. Practice scenario-based decision making aligned with Amazon culture.