- A
Create a global secondary index (GSI) for the table.
Why wrong: GSIs are for alternative query patterns.
- B
Increase the provisioned read capacity units (RCUs) for the table.
Why wrong: More RCUs improve throughput, not latency.
- C
Use DynamoDB Global Tables to replicate data to multiple regions.
Why wrong: Global Tables improve availability, not read latency within a region.
- D
Use DynamoDB Accelerator (DAX) as a cache for frequently read items.
DAX provides microsecond read latency.
Quick Answer
The correct choice is to use DynamoDB Accelerator (DAX) as a cache for frequently read items. DAX is a fully managed, in-memory cache purpose-built for DynamoDB, delivering microsecond read latency by storing the most frequently accessed data in memory, which offloads read requests from the table and eliminates the need for custom application-level caching logic. On the AWS Certified Developer Associate DVA-C02 exam, this pattern tests your understanding of how to optimize read-heavy workloads without over-provisioning read capacity units or introducing complex caching frameworks—a common trap is confusing DAX with ElastiCache, but remember that DAX integrates natively with DynamoDB and handles cache invalidation automatically. For a quick memory tip, think “DAX for DynamoDB reads—microseconds, not milliseconds.”
DVA-C02 Troubleshooting and Optimization Practice Question
This DVA-C02 practice question tests your understanding of troubleshooting and optimization. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 developer is using Amazon DynamoDB for a new application. The developer wants to reduce read latency. Which design pattern should the developer use?
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
Use DynamoDB Accelerator (DAX) as a cache for frequently read items.
DynamoDB Accelerator (DAX) is an in-memory cache designed specifically for DynamoDB, providing microsecond read latency for frequently accessed items. By caching read-heavy workloads, DAX offloads requests from the DynamoDB table, reducing read latency without requiring application-level caching logic. This directly addresses the developer's goal of reducing read latency.
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.
- ✗
Create a global secondary index (GSI) for the table.
Why it's wrong here
GSIs are for alternative query patterns.
- ✗
Increase the provisioned read capacity units (RCUs) for the table.
Why it's wrong here
More RCUs improve throughput, not latency.
- ✗
Use DynamoDB Global Tables to replicate data to multiple regions.
Why it's wrong here
Global Tables improve availability, not read latency within a region.
- ✓
Use DynamoDB Accelerator (DAX) as a cache for frequently read items.
Why this is correct
DAX provides microsecond read latency.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse increasing provisioned capacity (Option B) with reducing latency, when in fact it only increases throughput, while DAX (Option D) directly addresses latency by caching reads in memory.
Detailed technical explanation
How to think about this question
DAX acts as a write-through cache, meaning items written to DynamoDB are also written to the cache, ensuring consistency for frequently read data. Under the hood, DAX uses a cluster of nodes with a primary node handling writes and replicas for read scaling, and it supports both eventually consistent and strongly consistent reads. In real-world scenarios, DAX is ideal for read-heavy applications like gaming leaderboards or session stores where sub-millisecond response times are critical.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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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Troubleshooting and Optimization — study guide chapter
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FAQ
Questions learners often ask
What does this DVA-C02 question test?
Troubleshooting and Optimization — This question tests Troubleshooting and Optimization — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use DynamoDB Accelerator (DAX) as a cache for frequently read items. — DynamoDB Accelerator (DAX) is an in-memory cache designed specifically for DynamoDB, providing microsecond read latency for frequently accessed items. By caching read-heavy workloads, DAX offloads requests from the DynamoDB table, reducing read latency without requiring application-level caching logic. This directly addresses the developer's goal of reducing read latency.
What should I do if I get this DVA-C02 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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