DBS-C01 Workload-Specific Database Design Practice Question
Which THREE of the following are key considerations when designing a time-series database using Amazon DynamoDB? (Select THREE.)
⚠ Common exam trap
AWS often tests the misconception that strongly consistent reads are mandatory for time-series accuracy, when in fact eventually consistent reads are acceptable for most time-series patterns and provide better performance and cost efficiency.
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
✓
Enable Time to Live (TTL) to automatically expire old data
Amazon DynamoDB's Time to Live (TTL) feature automatically deletes expired items without consuming write throughput, making it ideal for managing data retention in time-series workloads. This eliminates the need for custom cleanup scripts and reduces storage costs over time.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Always use strongly consistent reads for accurate time-series data
Why it's wrong here
Eventually consistent reads are often sufficient and cheaper.
- ✓
Enable Time to Live (TTL) to automatically expire old data
Why this is correct
Automatically deletes data after a specified time.
- ✓
Use a composite primary key with a high-cardinality partition key and a sort key that includes a truncated timestamp
Why this is correct
Allows efficient range queries on time.
- ✗
Use local secondary indexes for aggregating data across partitions
Why it's wrong here
LSIs are scoped to a partition; GSIs are needed for cross-partition.
- ✓
Design for adaptive capacity to handle uneven access patterns
Why this is correct
Adaptive capacity allows DynamoDB to handle hot partitions.
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