Myntra Insight

Rejected

SDE Intern

Fresher

Jul 29, 2026

Data Structures and Algorithms

Computer Science Fundamentals

Debugging

The assessment consisted of two coding problems of easy-to-medium difficulty.

The theoretical section covered DBMS, OS, Computer Networks, OOPs, and Aptitude.

Debugging questions focused on identifying syntax errors or predicting code output.

Solve two coding problems of easy-to-medium difficulty.

Data StructuresAlgorithms

⏱ 60 mins

Data Structures and Algorithms

The round was strictly focused on problem-solving.

The candidate was required to explain the logic before writing code.

Emphasis was placed on clean code and clear articulation of time and space complexity.

Find the unique element in a sorted array where every other element appears twice.

ArraysBinary Search

⏱ 75 mins

Data Structures and AlgorithmsProject Deep DiveSystem Design

The interviewer conducted a deep dive into previous internship projects, focusing on design choices and technology selection.

The candidate was pushed to provide optimal solutions immediately for coding problems.

The interviewer used probing questions to test the candidate's conviction in their technical approach.

A high-level system design discussion was conducted regarding features of Google Meet.

3-Sum Problem

ArraysTwo Pointers

High-level design of Google Meet features.

System Design

Possessing a deep, granular understanding of personal projects is essential for technical interviews.
Confidence in defending one's technical approach is critical when interviewers probe for weaknesses.
Product-based interviews often combine DSA, resume deep dives, and system design, requiring a well-rounded preparation strategy.

Master core CS subjects including DBMS, OS, CN, and OOPs.
Practice coding problems with a focus on edge cases and optimal time/space complexity.
Be prepared to explain every technical decision made in personal projects.
Practice articulating design choices for real-world applications.