Interview questions
Preparing for a data engineering interview at Persistent Systems? This page contains 16 real interview questions sourced from verified Persistent Systems interview experiences. Questions are sorted by frequency — the ones asked most often appear first.
Persistent Systems data engineering interviews typically focus on Cloud/Tools, SQL, and Behavioral. There's a solid mix of fundamental and advanced questions, making it accessible for candidates at multiple experience levels.
Use the difficulty filters above to focus your preparation. For each question, attempt your own answer first, then compare with our expert solution. You can also practice these questions in our AI Mock Interview Coach for real-time feedback.
Describe a time when you had to deal with a difficult coworker.
Data Lakehouse architecture in Azure?
Describe Amazon Athena and how it interacts with S3.
Describe step scaling policies vs. target tracking policies in AWS Auto Scaling.
Explain AWS Lake Formation and its benefits.
Explain the difference between S3 One Zone-IA and S3 Standard-IA.
How do you handle cost optimization in AWS EMR clusters?
How do you secure data at rest and in transit for AWS RDS?
How does IAM role chaining work?
How would you optimize an ADF pipeline for high performance?
In ADF, how do you handle a scenario where you need to process only new or changed files from a source?
How would you implement VPC peering between two AWS accounts?
What are provisioned throughput and auto-scaling in DynamoDB?
SQL Query for 2nd Highest Salary without Using MAX()
What are partitioning strategies in Redshift?
What are transient clusters in EMR, and when would you use them?
Type or paste your answer to any of these questions and our AI Coach scores it, highlights gaps, and rewrites it at FAANG quality. Free to try.