Media.net Interview Experience (Software Engineer - Experienced)
Question Details
Round 1 Application screening round and duration for this round was 30 minutes. Someone from talent acquisition called to get background in my projects and experience. Cu...
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Round 1 Application screening round and duration for this round was 30 minutes. Someone from talent acquisition called to get background in my projects and experience. Current Company Work + Previous Internship Work Done. Languages/Frameworks used till now. College Projects and other basic technical questions. Then she informed us they have 2 profiles: Web Developer (More related to FrontEnd) Software Engineer(Mostly Backend work) She asked for which of the positions I want to give interviews?
Round 2 DS/Algo round and duration for this round was 1 hour. Number of Questions to be solved 2. We have to write end to end code in shared Google DocQuestion Merging overlapping Intervals (Slight variation)link: https://leetcode.com/problems/merge-intervals/Question You are given a tree. Your task is to print the deleted leaf nodes recursively until the tree becomes null. (in Left to Right Manner) (You don't need to actually delete it)While deleting you have to print the node.value. If the tree is 1, 2, 3, null, null, 4, 5 In that case answer should be: After 1st call, 2, 4, 5 will be deleted as they are leaf nodes. Subsequently, 3 will be deleted as it's a new leaf node. At last 1 will be deleted. So the answer is to be printed in the following manner nodes to be deleted in 1st call: 2, 4, 5 Nodes to be deleted in 2nd call: 3Nodes to be deleted in 3rd call: 1At first I gave brute force approach O(n*n). After which he asked me to optimize further, as we only need to print the nodes. At last, I gave a solution in O(n). Basic Requirement from this round is you have to solve one question with the most optimized approach and another one with approach discussion or partial implementation. In my case, both of the questions were solved, so there is no further DS/Algo round. Otherwise, they will schedule one more DS-Algo Round. After this round, in one-week. Hr called to inform the remaining round structure.
Round 3 Hiring Manager round duration was 1 to 1.5 hour. He started with his introduction. He was a very senior person who is handling 4 to 5 big teams in the field of Machine Learning, Big Data, etc. Tell me about yourself. Asked what I have worked on in 1.5 years. Also, he asked to explain the internship projects as well. Current Project and Framework Architecture. Then he started to go in-depth in Machine Learning. (As I had done some project in Machine/Deep Learning) Underfitting vs Overfitting Regularization- Internal Working of MFCC (Speech feature detection algorithm) Significance of Delta+Double Delta features in MFCC. How and Why Fourier Transformation is used in MFCC Neural Network, InceptionNet, Transfer Learning. Why Transfer Learning is used in your project (Benefits-drawbacks-intuition). How learning of a model that is trained over image dataset is beneficial in speech-related projects? (Again Transfer Learning Concept)- Diff between Process and Thread. Tell me a scenario where instead of going for thread you'll prefer process.
Round 4 Tech Discussion round duration was 1.5 hours. Introduction- Projects + Work ExDatabase: Asked 3-4 queries which are related to Group By, SQL Joins, SubQuery, etc. What is indexing? Gave 2-3 different queries with different "where" clause. You have to identify which query indexing will be used? In which cases, if we create a secondary index it would be good. Primary vs Secondary Index- Indexing Internal working (Algorithm side)- Even though, in HashMap O(1) lookup is possible, why we are using B-Tree (Where complexity will be log n ). Why B-Tree is preferred over normal BST (Height balanced) in DB?- Can you explain how BST Search is in log n only? (I told, because every time we have only two choices, either go to left or right. In counter to this, he asked but why it is log n only and not something else like loglog n or n/2). Then I explained in terms of search space. Deadlock- Race Condition (Theory + Practical scenario)- Critical Section problem- In the case of Critical Section Problem, what strategy is used to resolve? Java Threading and Synchronization (Explain in terms of "Critical Section Problem" ). Java Synchronization is using Object Monitors(which internally using semaphores) which is a very famous technique to handle "Critical Section Problem". Cookie vs Session. What is the difference? Where it's maintained?- DNS lookup- public vs private IPOOPS. Basic concepts and real-world application of inheritance, abstract classes- Famous Java Interface which you use in day to day life? I explained about SerializableDesign Concepts: Gave 3 topics Abstract Class Inheritance Composition Explain the difference in terms of designing a system. Give 3 system design examples (one example per topic) where you think that a particular topic is most suitable over others. Why in most of the cases, "Composition is preferred over Inheritance"? (Very famous question - which is also the base of many design patterns - Factory/Strategy etc)- "Program to an interface, not an implementation" Can you please explain this design principle? After that HR informed us that we are done for the day.
Result Within 2 days I received an offer from them. In just 3 rounds, they covered almost all important things in Computer Engineering. Tips: Along with strong DS-Algo, they are preferring candidates with good project background.- Also, they expect you to have a clear understanding of OS-DBMS-Networking. It is expected that you know how OOPs are going to be used when designing the system. Also, it would be good if you have some idea about famous design principles (And 4 to 5 famous design patterns)
About This Question
This is a reported interview question from a medianet interview for a data science role (intern level) during the phone screen round reported in 2019.
It covers the following topics: Ml, Oop, Trees, Binary Tree, Sql, Os, System Design, Hash Table .
Difficulty rating: Easy
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This question was reported by a candidate who interviewed at Medianet. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.
Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Medianet are the higher-signal extractions to take from this report.
For broader preparation context, the Medianet interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.
How To Practice This Type of Question
Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.
Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Medianet reports consistently are the ones worth investing in; one-off niche problems are not.
During Your Medianet Round
Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.
The single most predictive failure mode in Medianet reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.