Deloitte Interview Questions (With Answers)

550 Questions asked

May 2026 First seen

Sep 2026 Last seen

550 Unique questions

🥧 Difficulty mix

How hard are these questions?

Easy 72 (13%)Medium 397 (72%)Hard 81 (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 66

Data Engineering 34

Ai Machine Learning 34

Backend Apis 33

Databases Sql 32

Algorithms Data Structures 32

Cloud Devops 28

Javascript Typescript 27

👤 Experience level mix

What seniority these are asked at

Fresher (0-1yr) 72Junior (1-3yr) 3Mid (3-6yr) 394Senior (6+yr) 81

📝 Recent questions

Latest 10 asked by candidates

🔴 Hard ✅

How did you use click‑through rates and engagement logs to optimize your ranking function offline, and how did updating scoring parameters in Elasticsearch based on search queries, document IDs, and user interactions impact overall system performance or user satisfaction?

Click-through Rate Engagement Logs Ranking Function Elasticsearch Offline Optimization

Conceptual · Asked 1× · Sep 2026

🟢 Easy ✅

Write Python code that opens 'input.txt', goes to the 5th line, then selects the 5th word in that line, and prints the word along with its length.

Python File I/o String Manipulation

Coding · Asked 2× · Sep 2026

🟡 Medium ✅

You shared a detailed approach to data quality monitoring using Great Expectations and CloudWatch. Describe your experience building backend services with Python and FastAPI, specifically how you have designed and optimized APIs to handle business logic efficiently.

Great Expectations Cloudwatch Fastapi

Conceptual · Asked 1× · Sep 2026

🟢 Easy ✅

Which part of the question or example is unclear to you? Is it about the input, the goal, or how to determine the smallest window?

Clarification Algorithm Sliding Window

Other · Asked 1× · Sep 2026

🟡 Medium ✅

What are the ways you can use to optimize a slow running query?

Query Optimization Sql

Conceptual · Asked 1× · Sep 2026

🟡 Medium ✅

How do you build an ETL pipeline that transforms data, stores it in Amazon S3, and queries it using Amazon Athena?

Etl Athena S3 Data Pipeline

Conceptual · Asked 1× · Aug 2026

🟡 Medium ✅

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🥧 Difficulty mix

📊 Question type

🔥 12-week activity

🏷️ Top topics

👤 Experience level mix

📝 Recent questions

How did you use click‑through rates and engagement logs to optimize your ranking function offline, and how did updating scoring parameters in Elasticsearch based on search queries, document IDs, and user interactions impact overall system performance or user satisfaction?

Write Python code that opens 'input.txt', goes to the 5th line, then selects the 5th word in that line, and prints the word along with its length.

You shared a detailed approach to data quality monitoring using Great Expectations and CloudWatch. Describe your experience building backend services with Python and FastAPI, specifically how you have designed and optimized APIs to handle business logic efficiently.

Which part of the question or example is unclear to you? Is it about the input, the goal, or how to determine the smallest window?

What are the ways you can use to optimize a slow running query?

How do you build an ETL pipeline that transforms data, stores it in Amazon S3, and queries it using Amazon Athena?

Print all unique pairs of numbers from a list that sum to 20.

How does processes compare with a common alternative?

How would you optimize a system that depends on type?

What are common mistakes when using Athena?

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