DBS-C01 Workload-Specific Database Design Practice Question
A financial services company uses Amazon Aurora MySQL-Compatible Edition for transaction processing. They need to run complex analytical queries on the same data without impacting transactional performance. Which solution meets these requirements?
⚠ Common exam trap
Watch out — candidates often assume an Aurora Replica (Option D) is sufficient for read-heavy analytics, but they overlook that it still shares the same storage subsystem and can cause I/O contention and replication lag under heavy analytical loads.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Aurora Zero-ETL integration with Amazon Redshift
Aurora Zero-ETL integration with Amazon Redshift allows you to run complex analytical queries on transactional data without impacting Aurora's performance. It eliminates the need for extract, transform, and load (ETL) pipelines by automatically replicating data from Aurora to Redshift in near real-time, ensuring that analytical workloads are offloaded to a separate, optimized analytics engine.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Aurora Zero-ETL integration with Amazon Redshift
Why this is correct
Zero-ETL integration allows Redshift to query Aurora data directly without impacting performance.
- ✗
Enable Performance Insights and use RDS Proxy
Why it's wrong here
Performance Insights is monitoring; RDS Proxy is for connection pooling.
- ✗
Export data to Amazon S3 and query with Athena
Why it's wrong here
Export process can be complex and not real-time.
- ✗
Create an Aurora Replica and run analytical queries against it
Why it's wrong here
Aurora Replicas share the same underlying storage; heavy queries can still impact performance.
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Senior Network & Security Engineer · founder of Courseiva
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