The correct answer is to increase the number of KPUs (Kinesis Processing Units) for the Flink application. This directly addresses high latency and checkpoint failures by providing additional compute resources, allowing the application to process data more quickly and complete checkpoints within the configured timeout. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of how Flink’s parallelism and resource allocation impact real-time stream processing performance. A common trap is to decrease the checkpoint interval, but that actually increases overhead and worsens failures. Instead, remember that scaling compute (KPUs) and increasing shard count are the primary levers for improving throughput and reliability in Kinesis Data Analytics for Flink. Memory tip: “More KPUs, fewer boo-boos”—adding processing units directly reduces checkpoint backpressure.
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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.
A company is ingesting real-time financial transactions into Amazon Kinesis Data Streams. The data is then consumed by a Kinesis Data Analytics for Apache Flink application that calculates running totals. The application is experiencing high latency and checkpoint failures. Which TWO steps should the engineer take to improve performance and reliability? (Select TWO.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase the number of shards in the Kinesis data stream.
Options B and D are correct. Increasing the number of shards increases throughput and parallelism, helping reduce latency. Increasing the number of KPUs (Kinesis Processing Units) for the Flink application provides more compute resources, addressing checkpoint failures. Option A (decreasing checkpoint interval) may increase checkpoint overhead. Option C (using Fan-Out) is for multiple consumers, not for a single Flink job. Option E (reducing batch size) may not help with overall throughput.
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.
✗
Enable enhanced fan-out for the Flink application.
Why it's wrong here
Enhanced fan-out is beneficial for multiple consumers; with a single consumer, it does not help.
✗
Reduce the batch size of records processed per checkpoint.
Why it's wrong here
Smaller batches may increase overhead and not address resource constraints.
✓
Increase the number of shards in the Kinesis data stream.
Why this is correct
More shards increase parallelism, reducing latency and improving throughput.
Related concept
Read the scenario before looking for a memorised answer.
✓
Increase the number of KPUs (Kinesis Processing Units) for the Flink application.
Why this is correct
More KPUs provide additional CPU and memory, reducing checkpoint failures and latency.
Related concept
Read the scenario before looking for a memorised answer.
✗
Decrease the checkpoint interval to reduce state size.
Why it's wrong here
Shorter checkpoint intervals increase overhead and may worsen failures.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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 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 number of shards in the Kinesis data stream. — Options B and D are correct. Increasing the number of shards increases throughput and parallelism, helping reduce latency. Increasing the number of KPUs (Kinesis Processing Units) for the Flink application provides more compute resources, addressing checkpoint failures. Option A (decreasing checkpoint interval) may increase checkpoint overhead. Option C (using Fan-Out) is for multiple consumers, not for a single Flink job. Option E (reducing batch size) may not help with overall throughput.
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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