DEA-C01 Data Store Management Practice Question

Which THREE actions can help improve read performance in Amazon DynamoDB? (Choose THREE.)

⚠ Common exam trap

The DEA-C01 exam often tests the misconception that strongly consistent reads always improve performance, when in fact they increase latency and RCU consumption, making eventually consistent reads the better choice for read-heavy workloads.

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

✓

Use parallel scans to distribute read load across partitions.

Parallel scans in DynamoDB can improve read performance by dividing a scan operation into multiple segments that are processed concurrently across partitions. This reduces the overall latency of the scan by leveraging the distributed nature of DynamoDB's storage, though it consumes more read capacity units (RCUs) due to the parallel execution.

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 DynamoDB global tables to replicate data.
Why it's wrong here
Global tables improve write availability and disaster recovery, not read performance.
✓
Use parallel scans to distribute read load across partitions.
Why this is correct
Parallel scans can improve scan performance.
✗
Use strongly consistent reads for all queries.
Why it's wrong here
Strongly consistent reads are slower than eventually consistent reads.
✓
Enable DynamoDB Accelerator (DAX) to cache reads.
Why this is correct
DAX reduces read latency by caching.
✓
Increase the read capacity units (RCU) for the table.
Why this is correct
More RCUs allow more read throughput.

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DEA-C01 Data Store Management Practice Question

Why each option matters

Option-by-option breakdown

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