The answer is to increase the number of shards in the data stream. Each shard in Kinesis Data Streams provides a fixed capacity of 1 MB/s for writes and 2 MB/s for reads, so a single shard bottleneck directly caps throughput and introduces latency as data backs up. By scaling shards horizontally, you distribute the incoming data load across more processing lanes, which increases total throughput and reduces the time records wait to be consumed. On the AWS Certified Data Engineer Associate DEA-C01 exam, this tests your understanding of Kinesis capacity management versus passive solutions like waiting for autoscaling or switching to Firehose, which changes the ingestion architecture entirely. A common trap is confusing shard scaling with KCL processing enhancements, but KCL only improves record handling, not stream capacity. Memory tip: think of shards like highway lanes—more lanes mean less traffic congestion and lower latency.
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 streaming data into Kinesis Data Streams. The consumer application experiences high latency due to a single shard bottleneck. What is the most effective way to reduce latency?
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 data stream.
Increasing the number of shards increases throughput and reduces latency. Waiting for autoscaling is passive, using KCL is for processing, and switching to Firehose changes the architecture.
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.
✓
Increase the number of shards in the data stream.
Why this is correct
More shards increase parallelism and throughput, reducing latency.
Related concept
Read the scenario before looking for a memorised answer.
✗
Wait for automatic scaling to add shards.
Why it's wrong here
Kinesis Data Streams does not auto-scale shards; manual intervention is required.
✗
Use the Kinesis Client Library (KCL) to process records.
Why it's wrong here
KCL is already assumed; it doesn't fix the shard count issue.
✗
Switch to Amazon Kinesis Data Firehose.
Why it's wrong here
Firehose is for delivering to destinations, not for processing; it doesn't address the shard bottleneck.
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 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 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 data stream. — Increasing the number of shards increases throughput and reduces latency. Waiting for autoscaling is passive, using KCL is for processing, and switching to Firehose changes the architecture.
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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