DBS-C01 Workload-Specific Database Design Practice Question
A company needs to store and analyze log data from thousands of servers. The logs are timestamped and rarely updated. Queries are mostly time-range aggregations. Which database service is best suited for this workload?
⚠ Common exam trap
Many exam-takers choose DynamoDB or RDS because they are familiar with general-purpose databases, but they overlook that CloudWatch Logs is a fully managed, serverless service specifically designed for log ingestion and time-series analysis, eliminating the need for custom schema design, indexing, or scaling logic.
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 CloudWatch Logs
Amazon CloudWatch Logs is purpose-built for ingesting, storing, and analyzing timestamped log data from distributed sources. It supports real-time and historical time-range aggregations via Logs Insights, which uses a query language optimized for pattern matching and aggregation over time windows. The service automatically handles high-throughput ingestion from thousands of servers and is cost-effective for append-only, rarely updated log data.
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 CloudWatch Logs
Why this is correct
CloudWatch Logs is purpose-built for log ingestion, storage, and analysis.
- ✗
Amazon ElastiCache for Redis
Why it's wrong here
ElastiCache is for caching, not persistent log storage.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB can store logs but aggregation queries are inefficient.
- ✗
Amazon RDS for PostgreSQL
Why it's wrong here
RDS is relational and not optimized for time-series log data.
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