- A
DynamoDB Accelerator (DAX)
DAX is an in-memory cache for DynamoDB that reduces read latency for suitable access patterns.
- B
Amazon Kinesis Data Firehose
Why wrong: Firehose loads streaming data to destinations; it does not cache DynamoDB reads.
- C
AWS Glue Data Catalog
Why wrong: Glue catalog stores metadata for analytics, not application read caching.
- D
S3 Transfer Acceleration
Why wrong: Transfer Acceleration speeds S3 transfers, not DynamoDB queries.
Question 847 of 1,040
How Does DAX Reduce Read Latency and Load on DynamoDB?
This SAA-C03 practice question tests your understanding of design high-performing architectures. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. A key principle to apply: dynamoDB Accelerator (DAX). Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A read-heavy media archive repeatedly queries the same product catalogue data from DynamoDB with millisecond latency requirements. Which service can reduce read latency and table load?
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 a fully managed, in-memory cache for DynamoDB that delivers up to 10x read performance improvement by reducing response times from single-digit milliseconds to microseconds. For a read-heavy workload repeatedly querying the same product catalogue data, DAX caches the hot items, offloading read requests from the DynamoDB table and significantly reducing table read capacity consumption.
Key principle: DynamoDB Accelerator (DAX)
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
DynamoDB Accelerator (DAX)
Why this is correct
DAX is an in-memory cache for DynamoDB that reduces read latency for suitable access patterns.
Related concept
DynamoDB Accelerator (DAX)
- ✗
Amazon Kinesis Data Firehose
Why it's wrong here
Firehose loads streaming data to destinations; it does not cache DynamoDB reads.
- ✗
AWS Glue Data Catalog
Why it's wrong here
Glue catalog stores metadata for analytics, not application read caching.
- ✗
S3 Transfer Acceleration
Why it's wrong here
Transfer Acceleration speeds S3 transfers, not DynamoDB queries.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse DAX with other caching services like ElastiCache or think that S3 Transfer Acceleration can speed up DynamoDB reads, but DAX is the only AWS service purpose-built for in-memory caching of DynamoDB queries with automatic cache invalidation and write-through semantics.
Detailed technical explanation
How to think about this question
DAX maintains a write-through cache that is transparent to the application; when a GetItem or Query call is made, DAX first checks its in-memory cache (using TTL-based eviction) and only hits the underlying DynamoDB table on a cache miss. In a read-heavy media archive scenario, DAX can reduce the provisioned read capacity units (RCUs) needed by up to 90%, lowering costs while maintaining sub-millisecond response times. DAX also supports client-side encryption in transit via TLS and integrates with IAM for access control, making it suitable for sensitive catalogue data.
KKey Concepts to Remember
- DynamoDB Accelerator (DAX)
- Read-heavy workload optimization
- Latency reduction
- API compatibility
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
DynamoDB Accelerator (DAX)
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Questions learners often ask
What does this SAA-C03 question test?
Design High-Performing Architectures — This question tests Design High-Performing Architectures — DynamoDB Accelerator (DAX).
What is the correct answer to this question?
The correct answer is: DynamoDB Accelerator (DAX) — DynamoDB Accelerator (DAX) is a fully managed, in-memory cache for DynamoDB that delivers up to 10x read performance improvement by reducing response times from single-digit milliseconds to microseconds. For a read-heavy workload repeatedly querying the same product catalogue data, DAX caches the hot items, offloading read requests from the DynamoDB table and significantly reducing table read capacity consumption.
What should I do if I get this SAA-C03 question wrong?
Review dynamoDB Accelerator (DAX), then practise related SAA-C03 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
DynamoDB Accelerator (DAX)
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Same concept, more angles
2 more ways this is tested on SAA-C03
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A read-heavy media archive repeatedly queries the same product catalogue data from DynamoDB with millisecond latency requirements. Which service can reduce read latency and table load? The design must avoid adding custom operational scripts.
medium- ✓ A.DynamoDB Accelerator (DAX)
- B.Amazon Kinesis Data Firehose
- C.AWS Glue Data Catalog
- D.S3 Transfer Acceleration
Why A: DynamoDB Accelerator (DAX) is an in-memory cache for DynamoDB that delivers microsecond read latency, reducing the load on the underlying DynamoDB tables by serving repeated queries from its cache. This directly addresses the read-heavy media archive's millisecond latency requirements without requiring custom operational scripts, as DAX is fully managed and integrates seamlessly with existing DynamoDB API calls.
Variation 2. A read-heavy media archive repeatedly queries the same product catalogue data from DynamoDB with millisecond latency requirements. Which service can reduce read latency and table load? The architecture review board prefers a managed AWS-native control.
medium- ✓ A.DynamoDB Accelerator (DAX)
- B.Amazon Kinesis Data Firehose
- C.AWS Glue Data Catalog
- D.S3 Transfer Acceleration
Why A: DynamoDB Accelerator (DAX) is an in-memory cache for DynamoDB that delivers microsecond read latency, directly addressing the millisecond requirement. By caching frequently accessed product catalogue data, DAX offloads read requests from the DynamoDB table, reducing table load and read capacity unit consumption. As a fully managed, AWS-native service, it aligns with the architecture review board's preference for managed controls.
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Last reviewed: Jun 11, 2026
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