DEA-C01 Data Operations and Support Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. 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 data pipeline that ingests user activity logs from an API gateway into an Amazon Kinesis Data Firehose delivery stream. The Firehose stream writes data to an S3 bucket. The data is then processed by a scheduled AWS Glue job that runs every hour. Recently, the company noticed that the data in S3 is incomplete: some logs from the API are missing. The Glue job processes all files in the S3 bucket. The Firehose stream has a buffer size of 5 MB and a buffer interval of 60 seconds. The API sends data at a rate of approximately 2 MB per minute. What should the company do to reduce data loss?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure a Dead Letter Queue (DLQ) for the Firehose stream.
Option C is correct because the buffer interval is 60 seconds, and data is sent at 2 MB/min. If the Firehose stream fails to deliver within the buffer interval, it retries and eventually writes to the S3 bucket. However, if the buffer size is not met within the interval, Firehose will still deliver after the interval. Data loss could occur if the delivery fails permanently. Increasing the buffer interval reduces the frequency of deliveries but may increase latency; however, it does not directly prevent data loss. The real issue is likely that the Firehose stream is configured with a small buffer interval, causing frequent writes that may fail. However, the best practice to prevent data loss is to enable S3 backup or use a Dead Letter Queue. Option A is wrong because increasing buffer size may cause more data to be buffered, but if the interval is the same, it may not help. Option B is wrong because enabling compression does not prevent data loss. Option D is wrong because adding a Lambda function does not directly prevent data loss.
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.
✗
Decrease the buffer interval to 30 seconds.
Why it's wrong here
This increases write frequency and may increase chance of failure.
✗
Increase the Firehose buffer size to 10 MB.
Why it's wrong here
This may increase buffering but does not prevent data loss if delivery fails.
✓
Configure a Dead Letter Queue (DLQ) for the Firehose stream.
Why this is correct
A DLQ captures failed deliveries so data can be reprocessed.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable data transformation with AWS Lambda to compress data.
Why it's wrong here
Compression does not prevent data loss.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Data Operations and Support — This question tests Data Operations and Support — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure a Dead Letter Queue (DLQ) for the Firehose stream. — Option C is correct because the buffer interval is 60 seconds, and data is sent at 2 MB/min. If the Firehose stream fails to deliver within the buffer interval, it retries and eventually writes to the S3 bucket. However, if the buffer size is not met within the interval, Firehose will still deliver after the interval. Data loss could occur if the delivery fails permanently. Increasing the buffer interval reduces the frequency of deliveries but may increase latency; however, it does not directly prevent data loss. The real issue is likely that the Firehose stream is configured with a small buffer interval, causing frequent writes that may fail. However, the best practice to prevent data loss is to enable S3 backup or use a Dead Letter Queue. Option A is wrong because increasing buffer size may cause more data to be buffered, but if the interval is the same, it may not help. Option B is wrong because enabling compression does not prevent data loss. Option D is wrong because adding a Lambda function does not directly prevent data loss.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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