- A
Offloads read traffic from the DynamoDB table.
DAX handles read requests, reducing load on the table.
- B
Improves write throughput by batching writes.
Why wrong: DAX does not batch writes.
- C
Reduces read latency from single-digit milliseconds to microseconds.
DAX significantly reduces read latency.
- D
Supports write-through caching to improve write performance.
Why wrong: DAX is primarily for reads, not writes.
- E
Provides in-memory caching for DynamoDB tables.
DAX is a caching layer in memory.
Quick Answer
The answer is that Amazon DynamoDB Accelerator (DAX) provides in-memory caching for DynamoDB tables. This is correct because DAX functions as a read-through and write-through cache, intercepting requests to offload read traffic from the underlying DynamoDB table, which directly reduces consumed read capacity units (RCUs) and lowers latency to microseconds for eventually consistent reads. On the AWS Certified Data Engineer Associate DEA-C01 exam, this concept tests your understanding of performance optimization and cost management for DynamoDB workloads—a common trap is confusing DAX with ElastiCache, but remember that DAX is purpose-built for DynamoDB and handles both reads and writes transparently without application code changes. A useful memory tip is to think of DAX as a “DynamoDB turbo button”: it accelerates reads by caching hot data, so if the question involves reducing RCU consumption or improving response times for repeated queries, DAX is the right fit.
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. 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.
Which THREE of the following are benefits of using Amazon DynamoDB Accelerator (DAX)? (Choose three.)
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
Offloads read traffic from the DynamoDB table.
Option A is correct because DAX acts as a read-through cache that offloads read traffic from the DynamoDB table, reducing the number of read requests that hit the underlying table and thus lowering the consumed read capacity units (RCUs). This allows the table to handle more concurrent reads without scaling up provisioned capacity.
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.
- ✓
Offloads read traffic from the DynamoDB table.
Why this is correct
DAX handles read requests, reducing load on the table.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Improves write throughput by batching writes.
Why it's wrong here
DAX does not batch writes.
- ✓
Reduces read latency from single-digit milliseconds to microseconds.
Why this is correct
DAX significantly reduces read latency.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Supports write-through caching to improve write performance.
Why it's wrong here
DAX is primarily for reads, not writes.
- ✓
Provides in-memory caching for DynamoDB tables.
Why this is correct
DAX is a caching layer in memory.
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 assume DAX improves write performance or supports write-through caching, but DAX is strictly a read cache and does not accelerate or batch writes.
Detailed technical explanation
How to think about this question
DAX uses an in-memory cache that sits between the application and DynamoDB, intercepting read requests and serving them from cache if the item is present (cache hit), which reduces read latency from single-digit milliseconds to microseconds. The cache is populated on cache misses, and items are evicted using a TTL-based policy; DAX does not cache write operations, so all writes go directly to the table, ensuring strong consistency for writes while providing eventual consistency for cached reads.
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 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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. 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.
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 DEA-C01 question test?
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Offloads read traffic from the DynamoDB table. — Option A is correct because DAX acts as a read-through cache that offloads read traffic from the DynamoDB table, reducing the number of read requests that hit the underlying table and thus lowering the consumed read capacity units (RCUs). This allows the table to handle more concurrent reads without scaling up provisioned capacity.
What should I do if I get this DEA-C01 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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Same concept, more angles
1 more ways this is tested on DEA-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which TWO of the following are benefits of using Amazon DynamoDB Accelerator (DAX)? (Choose TWO.)
medium- A.Improves write throughput
- ✓ B.Provides microsecond read latency
- ✓ C.Offloads read traffic from the DynamoDB table
- D.Provides data durability across Availability Zones
- E.Reduces storage costs
Why B: Amazon DynamoDB Accelerator (DAX) is an in-memory cache that sits between your application and DynamoDB, providing microsecond response times for read-heavy workloads. It achieves this by caching frequently accessed data in memory, reducing the latency from single-digit milliseconds to microseconds for eventually consistent reads.
Last reviewed: Jun 24, 2026
This DEA-C01 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 DEA-C01 exam.
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