SAA-C03 Design High-Performing Architectures Practice Question
A read-heavy document portal repeatedly queries the same product catalogue data from DynamoDB with millisecond latency requirements. Which service can reduce read latency and table load? The team wants the control to be enforceable during normal operations.
⚠ Common exam trap
Watch out — candidates often confuse DAX with ElastiCache (which is a general-purpose cache but not DynamoDB-native) or assume that S3 Transfer Acceleration can improve DynamoDB read performance, when in fact DAX is the only AWS service purpose-built to cache DynamoDB reads with sub-millisecond latency.
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
✓
DynamoDB Accelerator (DAX)
DynamoDB Accelerator (DAX) is an in-memory cache specifically designed for DynamoDB that can reduce read latency from single-digit milliseconds to microseconds, while offloading read traffic from the underlying table. This directly addresses the read-heavy workload and millisecond latency requirements, and the team can enforce its use during normal operations by configuring the application to route reads through the DAX cluster endpoint.
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 Kinesis Data Firehose
Why it's wrong here
Firehose streams records into destinations such as S3 or Redshift; it does not cache DynamoDB item reads, so query latency and table load stay unchanged. It tempts because it handles high-throughput data movement, and would be correct for ingesting streaming events rather than serving repeated catalogue reads.
- ✗
S3 Transfer Acceleration
Why it's wrong here
Transfer Acceleration speeds uploads and downloads to S3 buckets over edge locations; it cannot serve DynamoDB item reads, so catalogue latency is untouched. It tempts because it reduces latency for S3 transfers, and would be correct if the portal stored its catalogue objects in S3 rather than DynamoDB.
- ✓
DynamoDB Accelerator (DAX)
Why this is correct
DAX provides an in-memory write-through cache in front of DynamoDB, serving repeated catalogue reads in microseconds and cutting table load. It is natively enforceable during normal operations, satisfying the stem's requirement without custom caching code or application changes.
- ✗
AWS Glue Data Catalog
Why it's wrong here
The Glue Data Catalog stores table and schema metadata for analytics engines; it holds no item data and cannot answer DynamoDB read queries. It tempts because it centralises metadata across data stores, and would be correct for cataloguing datasets queried through Athena or EMR, not for caching catalogue reads.
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