- A
Use DynamoDB Accelerator (DAX) for write caching.
DAX can be configured as a write-through cache, which reduces write latency by caching writes locally and flushing them asynchronously to DynamoDB.
- B
Write data to the local Region and let global tables replicate to other Regions.
Writing to the local region ensures that the write completes quickly, and global tables handle replication asynchronously to other regions, reducing perceived latency.
- C
Use strongly consistent reads in the application.
Why wrong: Strongly consistent reads affect read operations, not writes. They do not reduce write latency.
- D
Use a single-region table in eu-west-1 and replicate data manually.
Why wrong: Using a single-region table removes the global replication benefit and manual replication introduces overhead and potential latency.
- E
Increase the write capacity of the table in eu-west-1.
Why wrong: Increasing write capacity increases the maximum number of writes per second but does not reduce the latency of individual write operations.
Reducing DynamoDB Global Tables Write Latency
This DBS-C01 practice question tests your understanding of management and operations. 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 company is using Amazon DynamoDB with a global table for a multi-region application. The application is deployed in us-east-1 and eu-west-1. The company notices that write latency to eu-west-1 is higher than expected. Which TWO actions can reduce write latency? (Choose TWO.)
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) for write caching.
Option A is correct because DAX can be used as a write-through cache for DynamoDB, reducing write latency by caching writes locally and asynchronously flushing to the primary table. Option B is correct because writing to the local region (e.g., us-east-1) and allowing global tables replication to eu-west-1 reduces the latency for the local write operation; the replication happens asynchronously. Option C is incorrect because strongly consistent reads do not affect write operations. Option D is incorrect because using a single-region table in eu-west-1 would eliminate the multi-region capability and manual replication adds complexity and potential latency. Option E is incorrect because increasing write capacity does not reduce latency; it increases throughput but not speed.
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.
- ✓
Use DynamoDB Accelerator (DAX) for write caching.
Why this is correct
DAX can be configured as a write-through cache, which reduces write latency by caching writes locally and flushing them asynchronously to DynamoDB.
Related concept
DynamoDB Accelerator (DAX)
- ✓
Write data to the local Region and let global tables replicate to other Regions.
Why this is correct
Writing to the local region ensures that the write completes quickly, and global tables handle replication asynchronously to other regions, reducing perceived latency.
Related concept
DynamoDB Accelerator (DAX)
- ✗
Use strongly consistent reads in the application.
Why it's wrong here
Strongly consistent reads affect read operations, not writes. They do not reduce write latency.
- ✗
Use a single-region table in eu-west-1 and replicate data manually.
Why it's wrong here
Using a single-region table removes the global replication benefit and manual replication introduces overhead and potential latency.
- ✗
Increase the write capacity of the table in eu-west-1.
Why it's wrong here
Increasing write capacity increases the maximum number of writes per second but does not reduce the latency of individual write operations.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common mistake is to think that increasing write capacity reduces write latency, but capacity is about throughput, not latency.
Detailed technical explanation
How to think about this question
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- DynamoDB Accelerator (DAX)
- Global Tables
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. DynamoDB Accelerator (DAX) Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Review dynamoDB Accelerator (DAX), then practise related DBS-C01 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Management and Operations — This question tests Management and Operations — DynamoDB Accelerator (DAX).
What is the correct answer to this question?
The correct answer is: Use DynamoDB Accelerator (DAX) for write caching. — Option A is correct because DAX can be used as a write-through cache for DynamoDB, reducing write latency by caching writes locally and asynchronously flushing to the primary table. Option B is correct because writing to the local region (e.g., us-east-1) and allowing global tables replication to eu-west-1 reduces the latency for the local write operation; the replication happens asynchronously. Option C is incorrect because strongly consistent reads do not affect write operations. Option D is incorrect because using a single-region table in eu-west-1 would eliminate the multi-region capability and manual replication adds complexity and potential latency. Option E is incorrect because increasing write capacity does not reduce latency; it increases throughput but not speed.
What should I do if I get this DBS-C01 question wrong?
Review dynamoDB Accelerator (DAX), then practise related DBS-C01 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
DynamoDB Accelerator (DAX)
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Last reviewed: Jun 20, 2026
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