Question 819 of 1,040
Design High-Performing ArchitecturesmediumMultiple ChoiceObjective-mapped

SAA-C03 Design High-Performing Architectures 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 a fully managed, 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 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.

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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.

Key principle: DAX is a fully managed, 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.

  • Amazon Kinesis Data Firehose

    Why it's wrong here

    Firehose loads streaming data to destinations; it does not cache DynamoDB reads.

  • S3 Transfer Acceleration

    Why it's wrong here

    Transfer Acceleration speeds S3 transfers, not DynamoDB queries.

  • 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 a fully managed, in-memory cache for DynamoDB.

  • AWS Glue Data Catalog

    Why it's wrong here

    Glue catalog stores metadata for analytics, not application read caching.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may 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.

Detailed technical explanation

How to think about this question

DAX acts as a write-through cache that intercepts DynamoDB API calls (GetItem, Query, Scan) and serves cached items from memory, reducing the need to read from the table's underlying SSD storage. It uses a cluster of nodes with automatic failover and encryption in transit via TLS, and it is fully compatible with existing DynamoDB API calls, requiring only an endpoint change in the application SDK. In a real-world scenario, a document portal with repeated queries for the same product catalog can see a 10x latency improvement and significantly reduced read capacity unit consumption.

KKey Concepts to Remember

  • DAX is a fully managed, in-memory cache for DynamoDB.
  • DAX provides microsecond response times for cached reads.
  • DAX reduces the read load on DynamoDB tables.
  • DAX is API-compatible with DynamoDB, requiring minimal application changes.

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 a fully managed, 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 a fully managed, 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 a fully managed, in-memory cache for DynamoDB..

What is the correct answer to this question?

The correct answer is: 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.

What should I do if I get this SAA-C03 question wrong?

Review dAX is a fully managed, 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 a fully managed, in-memory cache for DynamoDB.

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Last reviewed: Jun 11, 2026

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