DEA-C01 Data Store Management Practice Question
A data engineer is designing a data store for a time-series application that requires sub-millisecond read latency for the latest data and high ingestion rates. Which AWS service is most suitable?
⚠ Common exam trap
Test-takers frequently choose Amazon DynamoDB for its low-latency reputation, overlooking that time-series workloads require specialized storage engines to handle high-frequency writes and time-based queries without manual sharding or hot partition issues.
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
✓
Amazon Timestream
Amazon Timestream is purpose-built for time-series data, offering sub-millisecond read latency for recent data via its in-memory store and supporting high ingestion rates with automatic partitioning and tiering. It is the most suitable choice because it natively handles time-series workloads without requiring manual tuning or schema optimization.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB is a key-value and document database, not designed for time-series patterns.
- ✗
Amazon ElastiCache for Redis
Why it's wrong here
ElastiCache is a caching layer, not a durable time-series store.
- ✗
Amazon RDS for PostgreSQL
Why it's wrong here
RDS is a relational database, not optimized for time-series ingestion and queries.
- ✓
Amazon Timestream
Why this is correct
Timestream is purpose-built for time-series data with fast queries.
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