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Core services of AWS used in data engineering?

Cloud/Toolshard0.3 min read

Reviewed by Aditya Kumar Ā· Last reviewed 2026-03-24

Why this stack: Each service has a roleā€”ingestion, storage, compute, serving. Architectural logic: S3 (lake); EMR/Glue (Spark); Lambda (event-driven); Kinesis (streaming); DMS (CDC); Redshift (warehouse); Athena (serverless SQL); MWAA (Airflow); Glue Catalog (metadata); IAM/KMS...

šŸ¤– Analyze Your Answer
Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Part of the Apache Spark Interview Preparation Hub
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Interview Pro Tip

Red Flag: Listing services without understanding roles. Pro-Move: 'S3 + Glue for serverless; EMR when we need fine-grained Spark tuningā€”cost vs. control trade-off.'

Key Concepts Tested
airflowsparksql
Expert Answer
68 words

Why this stack: Each service has a roleā€”ingestion, storage, compute, serving. Architectural logic: S3 (lake); EMR/Glue (Spark); Lambda (event-driven); Kinesis (streaming); DMS (CDC); Redshift (warehouse); Athena (serverless SQL); MWAA (Airflow); Glue Catalog (metadata); IAM/KMS (security); CloudWatch (monitoring). Trade-offs: Glue vs. EMRā€”Glue serverless, EMR more control. Athena vs. Redshiftā€”Athena pay per query; Redshift for interactive. Cost: S3 cheap; compute (EMR, Glue) scales with usage; Redshift reserved for predictable load.

āš”
Pro Tip

Red Flag: Listing services without understanding roles. Pro-Move: 'S3 + Glue for serverless; EMR when we need fine-grained Spark tuningā€”cost vs. control trade-off.'

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According to DataEngPrep.tech, this is one of the most frequently asked Cloud/Tools interview questions, reported at 1 company. DataEngPrep.tech maintains an editor-reviewed database of 1,863 data engineering interview questions across 7 categories.

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