Amazon Software developer Interview Questions & Experience Guide

Interview Preparation
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Amazon Software developer Interview Questions & Experience Guide

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Company Name: Amazon

Position: Software Developer

Application Process: The interview process was smooth and well-organized. I applied through the company’s career portal, and the entire experience was seamless.

Interview Rounds:

  • Round 1 - Technical Interview:

    • Questions Asked: The interviewer asked questions related to data structures, algorithms, and problem-solving. They also inquired about my past projects and how I approached challenges in them.
    • Your Approach: I focused on explaining my thought process clearly and breaking down the problems into smaller, manageable parts. I also made sure to highlight my problem-solving skills and how I collaborated with teams in my previous projects.
    • Outcome: I passed this round and received positive feedback on my problem-solving approach.

  • Round 2 - Cultural Fit Interview:

    • Questions Asked: This round was more about understanding my alignment with Amazon’s leadership principles. Questions revolved around teamwork, handling conflicts, and how I prioritize tasks.
    • Your Approach: I used the STAR (Situation, Task, Action, Result) method to structure my answers and provided real-life examples to demonstrate my fit with Amazon’s culture.
    • Outcome: The interviewer appreciated my responses, and I moved forward to the next round.

  • Round 3 - System Design Interview:

    • Questions Asked: I was given a scenario to design a scalable system. The interviewer asked about trade-offs, database choices, and how I would handle high traffic.
    • Your Approach: I started by clarifying the requirements, then outlined a high-level design before diving into specifics. I discussed potential bottlenecks and how to mitigate them.
    • Outcome: The interviewer was satisfied with my approach, and I successfully cleared this round.

Preparation Tips:

  • Brush up on core data structures and algorithms.
  • Practice explaining your thought process out loud while solving problems.
  • Familiarize yourself with Amazon’s leadership principles and prepare examples for each.
  • Mock interviews can be incredibly helpful to simulate the real experience.

Conclusion:
Overall, the interview process was a great learning experience. The interviewers were polite and supportive, which made me feel comfortable. I would advise future candidates to focus on understanding the fundamentals and practicing problem-solving under time constraints. Also, being well-versed in Amazon’s leadership principles is a must!

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Company Name: Amazon

Position: Software Developer

Location: [Location (if applicable)]

Application Process: [Brief description of how the student applied]

Interview Rounds:

  • Round 1 - Technical Interview (DSA):

  • Questions Asked: Medium to high-level DSA questions, similar to LeetCode medium-high problems.

  • Your Approach: Started with a brute-force solution and gradually optimized it to the best possible approach.

  • Outcome: [Result of this round]

  • Round 2 - System Design Interview:

  • Questions Asked: Questions related to designing scalable systems.

  • Your Approach: Broke down the problem into smaller components, discussed trade-offs, and iterated on the design.

  • Outcome: [Result of this round]

Preparation Tips:

  • Focus on solving DSA problems, especially LeetCode medium to high difficulty.
  • Practice explaining your thought process clearly while solving problems.
  • Study system design fundamentals and practice designing scalable systems from scratch.

Conclusion:

The interview process was challenging but rewarding. I realized the importance of clear communication and iterative problem-solving. For future candidates, I’d recommend practicing under timed conditions and being thorough with system design concepts.

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Company Name: Amazon

Position: Software Developer

Location: On-Campus

Application Process: Applied through on-campus job opportunities.

Interview Rounds:

  • Round 1 - Online Coding Round:

    • Questions Asked: Hard and medium-level LeetCode questions.
    • Your Approach: Focused on solving the problems efficiently, ensuring optimal time and space complexity. Practiced similar problems beforehand to build confidence.
    • Outcome: Cleared the round successfully.

  • Round 2 - Offline Interview:

    • Questions Asked: Covered topics like projects, computer networks, DSA, and system architecture.
    • Your Approach: Discussed my projects in detail, explaining the challenges faced and solutions implemented. For DSA, I walked through my thought process while solving problems.
    • Outcome: Advanced to the next round.

  • Round 3 - HR Round:

    • Questions Asked: General HR questions about my background, motivation, and fit for the role.
    • Your Approach: Answered honestly, highlighting my passion for software development and alignment with Amazon’s principles.
    • Outcome: Received positive feedback.

Preparation Tips:

  • Practice LeetCode problems, especially medium and hard ones, to prepare for the coding round.
  • Be thorough with your projects and be ready to explain them in detail.
  • Brush up on computer networks and system architecture concepts.
  • Prepare for behavioral questions by reflecting on past experiences.

Conclusion:
The interview process was challenging but well-structured. The key to success was consistent practice and clear communication during the interviews. For future candidates, I’d recommend focusing on problem-solving skills and being confident in discussing your projects.

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Company Name: Amazon

Position: Software Developer

Application Process: Applied through the company’s career portal.

Interview Rounds:

  • Round 1 - Technical Interview:

    • Questions Asked: Questions focused on data structures and algorithms, including problem-solving scenarios.
    • Your Approach: I practiced coding problems beforehand and explained my thought process clearly while solving the problems.
    • Outcome: Cleared the round successfully.

  • Round 2 - Technical Interview:

    • Questions Asked: More in-depth questions on algorithms and system design.
    • Your Approach: I used a structured approach to break down the problems and discussed trade-offs for different solutions.
    • Outcome: Advanced to the next round.

  • Round 3 - Technical Interview:

    • Questions Asked: Focused on real-world problem-solving and coding efficiency.
    • Your Approach: I emphasized clean code and optimized solutions, explaining my reasoning step-by-step.
    • Outcome: Cleared the round.

  • Round 4 - Technical Interview:

    • Questions Asked: A mix of coding and system design questions.
    • Your Approach: I balanced between coding and high-level design discussions, ensuring clarity in my explanations.
    • Outcome: Passed the round.

  • Bar Raiser Round:

    • Questions Asked: Behavioral questions based on Amazon’s Leadership Principles, along with a few technical questions.
    • Your Approach: I prepared examples for each Leadership Principle and linked them to my experiences.
    • Outcome: Cleared the final round.

Preparation Tips:

  • Focus on data structures, algorithms, and system design.
  • Practice coding problems regularly on platforms like LeetCode.
  • Understand and prepare examples for Amazon’s Leadership Principles.

Conclusion:
The interview process was smooth but required thorough preparation. I could have practiced more system design scenarios. My advice is to focus on problem-solving clarity and behavioral examples aligned with Amazon’s principles.

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Company Name: Amazon

Position: Software Developer

Application Process: Applied through campus placement.

Interview Rounds:

  • Round 1 - Technical Round (Coding):
    • Questions Asked: Logical reasoning and quantitative questions, followed by a coding problem.
    • Your Approach: Focused on solving the coding problem efficiently, drawing from regular practice in competitive coding (Div2, Div3 levels).
    • Outcome: Cleared the round by demonstrating efficient problem-solving skills.

Preparation Tips:

  • Regular practice of competitive coding problems (Div2, Div3) is highly recommended.
  • Focus on logical reasoning and quantitative aptitude as they are frequently tested.

Conclusion:
The interview was straightforward, with a strong emphasis on coding efficiency. Practicing competitive coding regularly helped a lot. For future candidates, consistency in coding practice and logical reasoning is key to clearing such rounds.

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Company Name: Amazon

Position: Software Developer

Application Process: Applied through campus placement.

Interview Rounds:

  • Round 1 - Technical Interview:
    • Questions Asked:
      1. A coding question related to linked lists.
      2. A coding question involving hash maps.
    • Your Approach: Started with a brute-force solution for both questions and then optimized them. The interviewer was supportive and guided me through the process.
    • Outcome: Cleared the round successfully.

Preparation Tips:

  • Focus on understanding data structures like linked lists and hash maps thoroughly.
  • Practice solving problems from scratch and then optimizing them.
  • Be prepared to explain your thought process clearly during the interview.

Conclusion:
The interview was a great learning experience. The interviewer was helpful, which made the process less stressful. I would advise future candidates to practice coding under time constraints and to be ready to discuss their solutions in detail.

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Company Name: Amazon

Position: Software Developer

Location: India

Application Process: I submitted my resume online through Amazon’s career portal. The application process was straightforward, and I also included a cover letter highlighting my relevant skills and experiences.

Interview Rounds:

  • Round 1 - Initial Screening:

    • Questions Asked: The recruiter asked about my background, technical skills, and why I wanted to work at Amazon.
    • Your Approach: I kept my answers concise and aligned them with Amazon’s leadership principles. I also emphasized my passion for problem-solving and innovation.
    • Outcome: I passed this round and was invited for the next stage.

  • Round 2 - Technical Interview:

    • Questions Asked: This round involved coding problems and system design questions. Some topics included data structures, algorithms, and scalability.
    • Your Approach: I practiced extensively on platforms like LeetCode and reviewed system design concepts beforehand. During the interview, I explained my thought process clearly and optimized my solutions.
    • Outcome: The interviewer seemed satisfied, and I moved on to the next round.

  • Round 3 - Behavioral Interview:

    • Questions Asked: Questions were based on Amazon’s leadership principles, such as “Tell me about a time you took ownership of a project” or “Describe a situation where you had to deal with ambiguity.”
    • Your Approach: I prepared STAR (Situation, Task, Action, Result) responses for each leadership principle and used real-life examples from my past experiences.
    • Outcome: The interviewer appreciated my structured responses, and I advanced to the final round.

  • Round 4 - Final Interview:

    • Questions Asked: This was a mix of technical and behavioral questions, with a focus on cultural fit and problem-solving under pressure.
    • Your Approach: I stayed calm, took my time to think through problems, and ensured my answers reflected Amazon’s values.
    • Outcome: I received positive feedback and was extended an offer.

Preparation Tips:

  • Practice coding problems on platforms like LeetCode and HackerRank.
  • Review Amazon’s 14 Leadership Principles and prepare STAR-method answers for each.
  • Brush up on system design concepts, especially scalability and distributed systems.
  • Mock interviews with peers or mentors can be incredibly helpful.

Conclusion:
Overall, the interview process was rigorous but well-structured. What worked well for me was thorough preparation and aligning my responses with Amazon’s values. If I could do anything differently, I would spend more time practicing system design scenarios. My advice to future candidates is to start early, stay consistent with your preparation, and always communicate your thought process clearly during interviews.

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Company Name: Amazon

Position: Software Developer

Application Process: Applied through the company’s career portal.

Interview Rounds:

  • Round 1 - Technical Interview:
    • Questions Asked:
      1. A DSA question (details not specified).
      2. Another DSA question (details not specified).
    • Your Approach: Attempted both questions within the 30-minute timeframe. The interviewer provided hints, but the second question couldn’t be solved on time.
    • Outcome: The interviewer was supportive, but the inability to solve the second question on time might have impacted the result.

Preparation Tips:

  • Focus on practicing DSA problems under time constraints.
  • Work on optimizing solutions for better time complexity.

Conclusion:
The interview was a good learning experience. The interviewer was helpful, but time management was a challenge. Future candidates should practice solving problems efficiently within tight deadlines.

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Company Name: Amazon

Position: Software Developer

Application Process: Applied through the company’s career portal.

Interview Rounds:

  • Round 1 - Technical Interview:
    • Questions Asked: The questions were quite challenging, covering advanced data structures and algorithms.
    • Your Approach: I tried my best to tackle the problems, but they were harder than expected. I focused on breaking them down into smaller parts and explaining my thought process.
    • Outcome: Unfortunately, I did not clear this round.

Preparation Tips:

  • Practice marathon coding sessions to improve problem-solving speed and accuracy.
  • Conduct mock interviews with friends to simulate the real interview environment and get feedback.

Conclusion:
While I didn’t clear the interview, the experience was valuable. I realized the importance of consistent practice and mock interviews. For future candidates, I’d recommend focusing on advanced problem-solving and not underestimating the difficulty of the questions.

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Company Name: Amazon

Position: Software Developer

Application Process: Applied through campus placement.

Interview Rounds:

  • Round 1 - Online Test:

    • Questions Asked: The test included above-average difficulty questions, primarily focused on dynamic programming. The problems were basic but required a solid understanding of the concepts.
    • Your Approach: I practiced dynamic programming problems beforehand, which helped me tackle the questions efficiently. I focused on breaking down the problems into smaller subproblems to find the optimal solution.
    • Outcome: Cleared the test and moved to the interview round.

  • Round 2 - Technical Interview:

    • Questions Asked:
      1. Palindromic subsequence problem.
      2. A binary tree-related question.
    • Your Approach: For the palindromic subsequence, I used dynamic programming to solve it. For the binary tree question, I explained my thought process clearly and wrote the code step-by-step.
    • Outcome: The interviewer seemed satisfied with my approach and solutions.

Preparation Tips:

  • Focus on dynamic programming and tree-related problems as they are frequently asked.
  • Practice coding on platforms like LeetCode or HackerRank to improve problem-solving speed.
  • Understand the underlying concepts thoroughly to explain your approach during interviews.

Conclusion:
Overall, the interview experience was positive. The questions were challenging but fair. I could have practiced more binary tree problems to feel even more confident. My advice to future candidates is to focus on core data structures and algorithms and to communicate your thought process clearly during the interview.

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Company Name: Amazon

Position: Software Development Engineer (SDE)

Location: [Not specified]

Application Process: The process began with a phone interview with a recruiter to discuss my background, experience, and interest in the role. Following this, I was scheduled for a series of technical interviews.

Interview Rounds:

  • Round 1 - Phone Interview (Recruiter):

  • Questions Asked: Discussed my background, experience, and interest in the SDE role.

  • Your Approach: I highlighted my relevant skills and experiences, aligning them with the role’s requirements.

  • Outcome: Successfully moved to the next round of technical interviews.

  • Round 2 - Technical Interview (Coding Assessment):

  • Questions Asked: Involved solving coding problems and algorithm design challenges.

  • Your Approach: I focused on writing clean, efficient code and explaining my thought process clearly.

  • Outcome: Advanced to the next stage.

  • Round 3 - System Design Discussion:

  • Questions Asked: Discussed designing scalable systems and architecture.

  • Your Approach: I structured my responses by breaking down the problem and considering trade-offs.

  • Outcome: Proceeded to the final behavioral round.

  • Round 4 - Behavioral Interview:

  • Questions Asked: Focused on Amazon’s leadership principles, with questions about past experiences demonstrating these principles.

  • Your Approach: I used the STAR method to provide clear and concise examples.

  • Outcome: Completed the interview process.

Preparation Tips:

  • Practiced coding problems on platforms like LeetCode and HackerRank.
  • Reviewed system design concepts and Amazon’s leadership principles.
  • Mock interviews with peers to improve communication and problem-solving under pressure.

Conclusion:
The interview process was challenging but rewarding. It gave me a deeper understanding of Amazon’s expectations and culture. I recommend focusing on coding skills, system design, and behavioral alignment with Amazon’s principles. Preparing thoroughly and staying calm during the interviews were key to my success.

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Company Name: Amazon

Position: Software Developer

Application Process: The application process involved multiple stages, likely through online applications or campus placements, though specific details weren’t provided.

Interview Rounds:

  • Round 1 - Technical Screening:

    • Questions Asked: General technical questions related to software development. The exact questions weren’t specified, but the focus was on problem-solving and coding skills.
    • Your Approach: The candidate tackled the questions step-by-step, ensuring clarity in their thought process even if they didn’t have all the answers.
    • Outcome: Successfully cleared this round.

  • Round 2 - Technical Deep Dive:

    • Questions Asked: More in-depth technical questions, possibly involving algorithms, data structures, or system design.
    • Your Approach: The candidate focused on explaining their reasoning and demonstrating their understanding of core concepts.
    • Outcome: Advanced to the next round.

  • Round 3 - Behavioral/Cultural Fit:

    • Questions Asked: Questions about past experiences, teamwork, and how the candidate aligns with Amazon’s leadership principles.
    • Your Approach: The candidate shared relevant anecdotes and emphasized their adaptability and problem-solving skills.
    • Outcome: Cleared this round successfully.

  • Round 4 - Final Technical/Managerial:

    • Questions Asked: A mix of technical and managerial questions, possibly involving scenario-based problem-solving.
    • Your Approach: Balanced technical expertise with communication skills, ensuring they addressed both aspects effectively.
    • Outcome: Successfully completed the interview process.

Preparation Tips:

  • Focus on step-by-step problem-solving rather than knowing all the answers.
  • Brush up on core algorithms, data structures, and system design concepts.
  • Practice explaining your thought process clearly during coding challenges.
  • Review Amazon’s leadership principles and prepare examples that align with them.

Conclusion:
The interview process at Amazon was structured and manageable, with a focus on problem-solving and cultural fit. The candidate found it easier compared to interviews at companies like Microsoft or Google. Key takeaways include the importance of clear communication and a methodical approach to problem-solving. Future candidates should prioritize understanding the basics and practicing articulating their thought process.

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Company Name: Amazon

Position: Software Developer

Application Process: Applied through the company’s career portal after seeing the job posting.

Interview Rounds:

  • Round 1 - Technical Interview (DSA Focused):

    • Questions Asked:
      • Burning Tree problem (a binary tree problem).
      • Koko Eating Bananas problem (a binary search problem).
    • Your Approach:
      • For the Burning Tree problem, I explained the approach using BFS to simulate the burning process and calculated the time taken for the tree to burn completely.
      • For the Koko Eating Bananas problem, I used binary search to determine the minimum eating speed required for Koko to finish all bananas within the given time.
    • Outcome: Cleared the round with positive feedback on problem-solving and coding skills.

  • Round 2 - Technical Interview (DSA Focused):

    • Questions Asked:
      • Graph traversal problems (specifics not disclosed).
      • Another binary search variant problem.
    • Your Approach:
      • For the graph problem, I used DFS and BFS techniques depending on the requirements.
      • For the binary search problem, I optimized the search space and explained the time complexity.
    • Outcome: Advanced to the next round with feedback to improve code readability.

Preparation Tips:

  • Focus on mastering Data Structures and Algorithms, especially trees, graphs, and binary search.
  • Practice coding problems on platforms like LeetCode and GeeksforGeeks.
  • Pay attention to edge cases and optimize your solutions for time and space complexity.

Conclusion:
The interview process was challenging but rewarding. I felt well-prepared for the DSA rounds, but I could have improved my code readability and comments. My advice to future candidates is to practice consistently and understand the underlying concepts thoroughly.

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Company Name: Amazon

Position: Software Developer

Application Process: The process began with a telephonic assessment, followed by a final interview call consisting of four slots with different interviewers. Additionally, a separate coding interview was conducted to complete the process. The Amazon assessment included scenarios based on leadership principles (4-5 examples) and 100-200 personality-based questions.

Interview Rounds:

  • Round 1 - Telephonic Assessment:

  • Questions Asked: The assessment focused on scenarios aligned with Amazon’s leadership principles, followed by a series of personality-based questions.

  • Your Approach: I reviewed Amazon’s leadership principles beforehand to align my responses with their expectations. For the personality questions, I answered honestly while keeping the company culture in mind.

  • Outcome: Successfully cleared this round and moved to the final interview stage.

  • Round 2 - Final Interview (4 Slots):

  • Questions Asked: Each slot had different interviewers, covering technical questions, problem-solving scenarios, and behavioral questions. Some coding challenges were also included.

  • Your Approach: I prepared by practicing coding problems on platforms like LeetCode and reviewing system design concepts. For behavioral questions, I used the STAR method to structure my answers.

  • Outcome: Performed well in all slots and advanced to the coding interview.

  • Round 3 - Coding Interview:

  • Questions Asked: A dedicated coding round with problems ranging from data structures to algorithms.

  • Your Approach: I focused on writing clean, efficient code and explaining my thought process clearly.

  • Outcome: Cleared this round successfully, completing the interview process.

Preparation Tips:

  • Study Amazon’s leadership principles thoroughly and think of examples from your experience that align with them.
  • Practice coding problems, especially those related to data structures and algorithms.
  • Use the STAR method for behavioral questions to structure your answers effectively.
  • Be honest and authentic in the personality-based questions while keeping the company culture in mind.

Conclusion:
The interview process was rigorous but well-structured. Preparing for leadership principles and coding problems was key to my success. I could have practiced more system design questions, but overall, the experience was positive. For future candidates, I’d recommend focusing on both technical and behavioral aspects equally.

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Company Name: Amazon

Position: Software Developer

Location: [Location not specified]

Application Process: Applied through campus placement.

Interview Rounds:

  • Round 1 - Technical Interview (DSA Focused):
    • Questions Asked:
      1. DP on Trees (similar to House Robber III on LeetCode).
      2. Easy question on Graphs (Topological Sort).
    • Your Approach:
      • For the DP on Trees problem, I first explained the recursive approach and then optimized it using memoization. I also discussed the time and space complexity.
      • For the Topological Sort question, I used Kahn’s algorithm and walked the interviewer through the steps.
    • Outcome: Cleared the round. The interviewer seemed satisfied with my explanations and approach.

Preparation Tips:

  • Focus on standard DSA problems, especially trees and graphs, as they are frequently asked.
  • Practice explaining your thought process clearly while solving problems.
  • LeetCode is a great resource for such problems.

Conclusion:
Overall, the interview was straightforward, and the questions were aligned with what I had prepared. I could have practiced more variations of DP problems to feel even more confident. My advice to future candidates would be to thoroughly revise DSA concepts and practice explaining solutions out loud.

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Company Name: Amazon

Position: Software Developer

Location: [Location (if applicable)]

Application Process: [Brief description of how the student applied]

Interview Rounds:

  • Round 1 - Technical Interview:

  • Questions Asked: [List of questions asked in this round]

  • Your Approach: [The candidate’s approach or strategy to answer the questions]

  • Outcome: [Result of this round]

  • Round 2 - Technical Interview:

  • Questions Asked:

  • Your Approach:

  • Outcome:

(Continue this format for all interview rounds)

Preparation Tips:

[Any tips or resources the student found helpful]

Conclusion:

[A summary of the overall experience and any final advice]

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Company Name: Amazon

Position: Software Developer

Application Process: Applied through the company’s career portal.

Interview Rounds:

  • Round 1 - Online Coding Test:

    • Questions Asked:
      • Two coding questions on HackerRank.
    • Your Approach:
      • Focused on understanding the problem requirements first, then wrote efficient code with edge cases in mind.
    • Outcome: Cleared the round successfully.

  • Round 2 - Online Interview:

    • Questions Asked:
      • Two coding questions where I had to explain the algorithm first and then write the code.
    • Your Approach:
      • Explained the thought process clearly, discussed time and space complexity, and then implemented the solution.
    • Outcome: Performed well and advanced to the next stage.

Preparation Tips:

  • Practice coding problems on platforms like LeetCode and HackerRank.
  • Focus on explaining your approach clearly during interviews.
  • Revise data structures and algorithms thoroughly.

Conclusion:
The interview process was smooth, and the questions were aligned with the role’s requirements. Practicing problem-solving and clear communication helped me perform well. For future candidates, I’d recommend focusing on both coding and articulation skills.

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Company Name: Amazon

Position: Software Developer

Application Process: Applied online for the Software Developer role.

Interview Rounds:

  • Round 1 - Online Assessment:
    • Questions Asked: 3 coding questions were given. The first two were relatively straightforward, while the third was more complex.
    • Your Approach: Solved the first two questions completely and managed to pass 10 out of 20 test cases for the third question.
    • Outcome: Unfortunately, did not clear the Online Assessment round.

Conclusion:
While I was able to solve the first two questions, the third one proved challenging. In hindsight, I could have practiced more advanced problem-solving techniques to improve my performance. For future candidates, I’d recommend focusing on solving a variety of coding problems, especially those with higher difficulty levels, to better prepare for such assessments.

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Company Name: Amazon

Position: Software Developer

Application Process: Applied through the company’s career portal. The process was smooth and fast.

Interview Rounds:

  • Round 1 - Technical Interview (DSA Focused):

    • Questions Asked: Leetcode-style medium difficulty problems focusing on data structures and algorithms.
    • Your Approach: Practiced consistently on Leetcode, focusing on medium-level problems. Ensured the code was well-structured and optimized.
    • Outcome: Cleared the round with positive feedback on problem-solving skills.

  • Round 2 - Technical Interview (DSA Focused):

    • Questions Asked: Another set of medium to hard DSA problems, with an emphasis on efficient solutions.
    • Your Approach: Maintained a calm demeanor, explained thought processes clearly, and wrote clean, efficient code.
    • Outcome: Advanced to the next round.

  • Round 3 - Technical Interview (DSA Focused):

    • Questions Asked: Complex DSA problems requiring deep understanding and optimal solutions.
    • Your Approach: Focused on breaking down the problem, discussing edge cases, and writing bug-free code.
    • Outcome: Successfully cleared the round.

Preparation Tips:

  • Practice Leetcode medium-level problems consistently.
  • Focus on writing clean, efficient, and well-commented code.
  • Understand the underlying concepts of data structures and algorithms thoroughly.

Conclusion:
The overall interview experience was positive. The interviewers were helpful, and the process was well-organized. Consistency in practice and a strong grasp of DSA concepts were key to clearing the rounds. For future candidates, I’d recommend dedicating time to Leetcode and ensuring clarity in both thought process and code.