Zensar Technologies Interview Questions (With Answers)

512 Questions asked

Mar 2026 First seen

Sep 2026 Last seen

512 Unique questions

🥧 Difficulty mix

How hard are these questions?

Easy 73 (14%)Medium 364 (71%)Hard 75 (15%)

📊 Question type

Breakdown by interview phase

🔥 12-week activity

When candidates are asked these

Last 12 weeks →

🏷️ Top topics

Where these questions cluster

Devops 55

Ai Machine Learning 54

Algorithms Data Structures 39

Cloud Devops 37

Data Engineering 33

Databases Sql 28

Frontend 27

Java 24

👤 Experience level mix

What seniority these are asked at

Fresher (0-1yr) 72Junior (1-3yr) 5Mid (3-6yr) 360Senior (6+yr) 75

📝 Recent questions

Latest 10 asked by candidates

🟡 Medium ✅

What is pre‑training in LLMs, and what is post‑training (fine‑tuning)? Explain the difference.

Llm Pre‑training Fine‑tuning Ai Ml

Conceptual · Asked 1× · Sep 2026

🟡 Medium ✅

If we follow a star schema, will it be better than an optimized or snowflake schema? But that way it will take more space, right? For example, the same data will be repeated multiple times if it is not normalized.

Star Schema Snowflake Schema Data Modeling

Conceptual · Asked 1× · Sep 2026

🟡 Medium ✅

You have a Dungeons & Dragons project. What tools have you used, such as AWS or libraries?

Aws Game Development Libraries

Conceptual · Asked 1× · Jul 2026

🟢 Easy ✅

Which AWS service is a managed relational database service that supports PostgreSQL, MySQL, and SQL Server for transactional workloads?

Amazon Rds Relational Database

Conceptual · Asked 1× · Jul 2026

🟢 Easy ✅

What about Snowflake? Have you experienced Snowflake as well?

Snowflake Data Warehousing Cloud

Conceptual · Asked 1× · Jul 2026

🟢 Easy ✅

What is the difference between Java threads and Java synchronized, and when would you use each?

Java

Conceptual · Asked 1× · Jun 2026

🟡 Medium ✅

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🥧 Difficulty mix

📊 Question type

🔥 12-week activity

🏷️ Top topics

👤 Experience level mix

📝 Recent questions

What is pre‑training in LLMs, and what is post‑training (fine‑tuning)? Explain the difference.

If we follow a star schema, will it be better than an optimized or snowflake schema? But that way it will take more space, right? For example, the same data will be repeated multiple times if it is not normalized.

You have a Dungeons & Dragons project. What tools have you used, such as AWS or libraries?

Which AWS service is a managed relational database service that supports PostgreSQL, MySQL, and SQL Server for transactional workloads?

What about Snowflake? Have you experienced Snowflake as well?

What is the difference between Java threads and Java synchronized, and when would you use each?

How does NP-completeness work at a high level?

How does CSRF protection affect reliability or scalability?

How would you test a production implementation that uses S3?

How would you optimize a system that depends on Lambda?

🎤 Want these answered in real-time during your interview?