- A
Switch to provisioned capacity with auto scaling and increase the write capacity units.
Why wrong: Provisioned capacity may still throttle during spikes, and setting high capacity is costly.
- B
Implement a write buffer using Amazon SQS, and have consumers write to DynamoDB at a controlled rate.
SQS decouples the producers from the writes, allowing batch processing and reducing throttling.
- C
Enable DynamoDB Accelerator (DAX) to cache the hot key writes.
Why wrong: DAX is for reads, not writes.
- D
Use DynamoDB Streams to trigger a Lambda function that retries throttled writes.
Why wrong: Retries add latency and may not solve the throttling.
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 company runs a real-time analytics platform on Amazon ECS that ingests streaming data from Amazon Kinesis Data Streams, processes it, and stores results in Amazon DynamoDB. The data volume spikes unpredictably, causing DynamoDB to throttle write requests. The application uses on-demand capacity mode. The data engineer notices that the throttling occurs on a specific partition due to a hot key. The hot key is a customer ID that receives a disproportionate number of writes. The application cannot change the partition key design immediately. The engineer needs to reduce throttling while maintaining low latency. Which solution is most effective?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"immediately / without restart"Why it matters: Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.
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
Implement a write buffer using Amazon SQS, and have consumers write to DynamoDB at a controlled rate.
Option B is correct because buffering writes through Amazon SQS decouples the ingestion rate from DynamoDB's capacity, allowing consumers to write at a controlled pace. This directly mitigates throttling on the hot key without requiring a partition key redesign, and SQS provides low-latency, durable buffering suitable for real-time analytics.
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.
- ✗
Switch to provisioned capacity with auto scaling and increase the write capacity units.
Why it's wrong here
Provisioned capacity may still throttle during spikes, and setting high capacity is costly.
- ✓
Implement a write buffer using Amazon SQS, and have consumers write to DynamoDB at a controlled rate.
Why this is correct
SQS decouples the producers from the writes, allowing batch processing and reducing throttling.
Clue confirmation
The clue word "immediately / without restart" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable DynamoDB Accelerator (DAX) to cache the hot key writes.
Why it's wrong here
DAX is for reads, not writes.
- ✗
Use DynamoDB Streams to trigger a Lambda function that retries throttled writes.
Why it's wrong here
Retries add latency and may not solve the throttling.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume on-demand capacity eliminates all throttling, but it does not protect against hot key skew; they may also confuse DAX's read caching with write buffering, or think retrying throttled writes is a viable solution rather than a reactive fix that increases latency.
Detailed technical explanation
How to think about this question
DynamoDB on-demand mode automatically scales capacity, but each partition still has a hard limit of 1,000 write capacity units (WCU) per second. A hot key concentrates writes on one partition, causing throttling even if total table capacity is sufficient. SQS acts as a shock absorber, allowing the consumer to batch writes and respect per-partition limits, which is a common pattern for handling uneven access patterns without schema changes.
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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Data Store Management — study guide chapter
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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: Implement a write buffer using Amazon SQS, and have consumers write to DynamoDB at a controlled rate. — Option B is correct because buffering writes through Amazon SQS decouples the ingestion rate from DynamoDB's capacity, allowing consumers to write at a controlled pace. This directly mitigates throttling on the hot key without requiring a partition key redesign, and SQS provides low-latency, durable buffering suitable for real-time analytics.
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.
Are there clue words in this question I should notice?
Yes — watch for: "immediately / without restart". Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.
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
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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