DEA-C01 Data Store Management Practice Question
Which THREE considerations are important when designing a DynamoDB table for high-traffic gaming leaderboards? (Choose three.)
⚠ Common exam trap
Test-takers frequently confuse DynamoDB Streams with a read-acceleration feature, but Streams are strictly for change data capture and do not reduce query latency or handle high read throughput.
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 DynamoDB Accelerator (DAX) for low-latency reads
DynamoDB Accelerator (DAX) provides in-memory caching for DynamoDB tables, reducing read latency from single-digit milliseconds to microseconds. For high-traffic gaming leaderboards, where millions of players query scores concurrently, DAX offloads read traffic from the main table, preventing throttling and ensuring consistent low-latency responses for the most frequently accessed 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.
- ✗
Use strongly consistent reads for all queries
Why it's wrong here
Strongly consistent reads are slower and reduce throughput.
- ✓
Enable DynamoDB Accelerator (DAX) for low-latency reads
Why this is correct
DAX provides caching for fast reads.
- ✓
Use Time to Live (TTL) to automatically expire old scores
Why this is correct
TTL removes old data to maintain performance.
- ✓
Use DynamoDB Adaptive Capacity to handle uneven access patterns
Why this is correct
Adaptive capacity helps with hot partitions.
- ✗
Enable DynamoDB Streams for real-time updates
Why it's wrong here
Streams are for change data capture, not directly for leaderboards.
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