DEA-C01 Data Store Management Practice Question
A company is using Amazon DynamoDB for a gaming application. They want to store player session data that expires after 24 hours. Which DynamoDB feature should be used?
⚠ Common exam trap
Many candidates confuse DynamoDB Streams (which can react to deletions) with the actual mechanism that performs the deletion, or assume Point-in-Time Recovery can be used to 'roll back' expired data, neither of which addresses automatic expiration.
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
✓
Time to Live (TTL)
Amazon DynamoDB Time to Live (TTL) allows you to define a per-item timestamp attribute that automatically deletes items after a specified duration. For the gaming session data that must expire after 24 hours, you can set the TTL attribute to the current time plus 24 hours, and DynamoDB will asynchronously delete expired items without any additional cost or write operations.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Time to Live (TTL)
Why this is correct
TTL deletes items automatically after a defined expiration time.
- ✗
DynamoDB Streams
Why it's wrong here
Streams capture item-level changes, not deletion based on time.
- ✗
Global Tables
Why it's wrong here
Global Tables replicate data across Regions.
- ✗
Point-in-Time Recovery
Why it's wrong here
PITR is for backups, not expiration.
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