- 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.
SAA-C03 DAX is an in-memory cache for DynamoDB. Practice Question
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: dAX is an in-memory cache for DynamoDB.. 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: DAX is an in-memory cache for DynamoDB.
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
DAX is an in-memory cache for DynamoDB.
- ✗
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
- DAX is an in-memory cache for DynamoDB.
- DAX reduces read latency to microseconds.
- DAX offloads read traffic from DynamoDB tables.
- DAX is API-compatible with DynamoDB.
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
DAX is an in-memory cache for DynamoDB.
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
Got this wrong? Here's your next step.
Review dAX is an in-memory cache for DynamoDB., then practise related SAA-C03 questions on the same topic to reinforce the concept.
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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 — DAX is an in-memory cache for DynamoDB..
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 dAX is an in-memory cache for DynamoDB., then practise related SAA-C03 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
DAX is an in-memory cache for DynamoDB.
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Last reviewed: Jun 11, 2026
This SAA-C03 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SAA-C03 exam.
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