Question 320 of 1,040
Design High-Performing ArchitectureseasyMultiple ChoiceObjective-mapped

SAA-C03 Design High-Performing Architectures Practice Question

This SAA-C03 practice question tests your understanding of design high-performing architectures. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. 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 service performs many repeated read requests for the same DynamoDB items. The reads are latency-sensitive, but the application can tolerate slightly stale data. Which AWS service is the best fit to reduce read latency?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "best"

    Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

Question 1easymultiple choice
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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

Amazon DAX (DynamoDB Accelerator)

Amazon DAX (DynamoDB Accelerator) is an in-memory cache specifically designed for DynamoDB. It reduces read latency from single-digit milliseconds to microseconds by caching frequently accessed items, and it supports eventually consistent reads, which aligns with the application's tolerance for slightly stale data. DAX handles repeated read requests without additional DynamoDB read capacity unit consumption, making it the optimal choice for this latency-sensitive workload.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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 DAX (DynamoDB Accelerator)

    Why this is correct

    Amazon DAX is an in-memory cache for DynamoDB. It reduces latency for repeated reads by caching results and serving subsequent read requests from the DAX cluster rather than repeatedly calling DynamoDB. Because it provides cached reads that may be slightly stale, it matches the scenario’s tolerance.

    Clue confirmation

    The clue word "best" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon S3 Select

    Why it's wrong here

    S3 Select queries data within S3 objects to reduce data transfer size. It does not provide low-latency caching for DynamoDB item reads and does not sit in front of DynamoDB like a managed accelerator.

  • Amazon SQS FIFO queue

    Why it's wrong here

    SQS FIFO provides ordering and exactly-once processing semantics for messaging. It does not cache or accelerate database reads and has no role in reducing DynamoDB read latency.

  • AWS Lambda provisioned concurrency

    Why it's wrong here

    Provisioned concurrency prevents Lambda cold starts by keeping execution environments warm. It does not change the latency of DynamoDB read operations themselves, nor does it cache DynamoDB data.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse caching services (DAX) with data retrieval services (S3 Select) or assume that a queue (SQS) or compute optimization (Lambda provisioned concurrency) can solve read latency issues, when only a purpose-built in-memory cache like DAX directly addresses repeated DynamoDB reads with stale data tolerance.

Detailed technical explanation

How to think about this question

DAX operates as a write-through cache that intercepts DynamoDB API calls via a cluster endpoint, caching items at the node level using an in-memory engine. It supports TTL-based expiration and can serve strongly consistent reads if configured, but for eventually consistent reads, it returns cached data without querying DynamoDB, reducing latency to under a millisecond. In a real-world scenario, a gaming leaderboard service that repeatedly reads top player scores from DynamoDB would benefit from DAX to avoid throttling and maintain sub-millisecond response times under high concurrency.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

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

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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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 — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Amazon DAX (DynamoDB Accelerator) — Amazon DAX (DynamoDB Accelerator) is an in-memory cache specifically designed for DynamoDB. It reduces read latency from single-digit milliseconds to microseconds by caching frequently accessed items, and it supports eventually consistent reads, which aligns with the application's tolerance for slightly stale data. DAX handles repeated read requests without additional DynamoDB read capacity unit consumption, making it the optimal choice for this latency-sensitive workload.

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

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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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.