Trees and graphs asked for better understanding on core knowledge and knowledge on the DSA is most required, so graphs are mostly focused and at the end interviewer questioning is must
Interview questions [1]
Question 1
Trees and graphs are asked in the interview by hypothetical question
I applied online. I interviewed at Amazon in Jun 2025
Interview
Round 1 – Behavioral (LP-focused)
They went deep into Amazon's Leadership Principles.
Questions like:
• Tell me about a time you worked under pressure with tight deadlines
• What technical problem did you solve recently?
• What tech did you learn and why?
I answered everything using the STAR format with real examples from my projects and internships.
🔹 Round 2 – Coding + Behavioral
45 minutes turned into 1 hour
• Got a LeetCode Hard-level problem and went through multiple optimizations and follow-ups.
• Explained my thought process at every step what, why, and trade-offs.
This round really tested clarity, communication, and stress handling.
🔹 Round 3 – Full Technical
It was all coding starting with a BST problem and then adding changing requirements mid-solution.
Adaptability and structured thinking were key.
1. Online Test (100 mins ) Aptitude (Quant + Logical Reasoning) Verbal Ability Pseudocode/Logic & Basic Programming Numerical puzzles 2. Interview (Single combined round) Technical: Basics of DBMS, SQL, OS, Networking, coding logic, and your projects. HR: About yourself, strengths/weaknesses, relocation, work ethics. 3. Offer & Joining If selected, you may face delays in joining/training (common in Infosys).
Interview
The Infosys interview process for experienced professionals usually includes technical interviews (covering programming, system design, and project experience) followed by an HR discussion to assess communication, cultural fit, and career aspirations. Sometimes, there may also be a managerial round to evaluate problem-solving and leadership skills.
Interview questions [1]
Question 1
They asked me questions around REST APIs, Python exception handling, SQL concepts like indexing and performance optimization, as well as practical coding (converting JSON to CSV). They also checked my understanding of security (unauthorized access, DEBUG mode in production) and the business domain of my project.
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