- A
Decrease the batch size in the S3 sink.
Why wrong: Batch size affects file size, not processing latency; Flink processes records continuously.
- B
Use a larger Kinesis Data Analytics application instance type.
Why wrong: Larger instance provides more memory/CPU but may not solve parallelism mismatch; also more costly.
- C
Increase the parallelism of the Flink application to 8.
Matching parallelism to shard count ensures each shard is processed concurrently, reducing backpressure.
- D
Increase the checkpointing interval to reduce overhead.
Why wrong: Checkpointing interval affects fault tolerance, not throughput; increasing it may reduce latency slightly but not address the core issue.
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 is using Amazon Kinesis Data Analytics for Apache Flink to process streaming data. The application reads from a Kinesis data stream and writes results to an Amazon S3 bucket. The team notices that the application is experiencing high latency during peak hours. The stream has 8 shards, and the application is configured with a parallelism of 4. Which action would most likely reduce the latency?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
Increase the parallelism of the Flink application to 8.
The correct answer is to increase the parallelism of the Flink application to match the number of shards (8). When parallelism is lower than the number of shards, some shards are underutilized, causing backpressure and latency. Option A (increasing checkpointing interval) would reduce overhead but not address the parallelism mismatch. Option C (using a larger instance type) could help but is less effective than matching parallelism. Option D (decreasing batch size) is not applicable to Flink. Option B directly fixes the bottleneck.
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 batch size in the S3 sink.
Why it's wrong here
Batch size affects file size, not processing latency; Flink processes records continuously.
- ✗
Use a larger Kinesis Data Analytics application instance type.
Why it's wrong here
Larger instance provides more memory/CPU but may not solve parallelism mismatch; also more costly.
- ✓
Increase the parallelism of the Flink application to 8.
Why this is correct
Matching parallelism to shard count ensures each shard is processed concurrently, reducing backpressure.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the checkpointing interval to reduce overhead.
Why it's wrong here
Checkpointing interval affects fault tolerance, not throughput; increasing it may reduce latency slightly but not address the core issue.
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.
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Data Ingestion and Transformation — study guide chapter
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase the parallelism of the Flink application to 8. — The correct answer is to increase the parallelism of the Flink application to match the number of shards (8). When parallelism is lower than the number of shards, some shards are underutilized, causing backpressure and latency. Option A (increasing checkpointing interval) would reduce overhead but not address the parallelism mismatch. Option C (using a larger instance type) could help but is less effective than matching parallelism. Option D (decreasing batch size) is not applicable to Flink. Option B directly fixes the bottleneck.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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