The correct answer is to increase the number of shards in the Kinesis stream to 8. This resolves the consumer lag because each shard provides a fixed read capacity of 2 MB per second or 5 transactions per second, and with only 4 shards, the Kinesis Data Analytics consumer cannot process the incoming 800 records per second fast enough, causing the MillisBehindLatest metric to climb. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of how shard scaling directly impacts consumer throughput, often trapping candidates who confuse write-side bottlenecks with read-side lag. A common memory tip is to remember that consumer lag equals read starvation: when the consumer falls behind, you must add shards to increase read capacity, not write capacity. Think of it as "lag means more shards to drag the consumer forward."
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 uses Amazon Kinesis Data Streams to ingest clickstream data from web applications. The data is consumed by a Kinesis Data Analytics application that runs SQL queries. Recently, the data analytics application has been falling behind, and the 'MillisBehindLatest' metric for the consumer has been increasing steadily. The shard count is 4, and the average records per second per shard is 200, with an average record size of 1 KB. The provisioned shard limit for the account is 10. Which action will resolve the issue?
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 stream to 8.
Option C is correct because the consumer is falling behind due to insufficient read capacity. Increasing the number of shards increases the total read capacity and allows the consumer to keep up. Option A is wrong because the write capacity is not the issue; the consumer is behind. Option B is wrong because switching to enhanced fan-out does not address the shard count limitation; it improves dedicated throughput per consumer but the total throughput is still limited by shard count. Option D is wrong because the consumer is already using KCL, and the issue is not related to checkpointing.
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 on the Kinesis stream and subscribe the analytics application to it.
Why it's wrong here
Enhanced fan-out provides dedicated read throughput, but the total throughput is still limited by shard count.
✗
Reduce the checkpoint interval on the Kinesis Client Library (KCL) consumer to commit offsets more frequently.
Why it's wrong here
Frequent checkpointing does not increase throughput and may add overhead.
✓
Increase the number of shards in the Kinesis stream to 8.
Why this is correct
More shards increase total read capacity, allowing the consumer to process data faster.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the provisioned write capacity of the Kinesis stream by requesting a shard limit increase.
Why it's wrong here
The issue is read capacity, not write capacity.
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 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: Increase the number of shards in the Kinesis stream to 8. — Option C is correct because the consumer is falling behind due to insufficient read capacity. Increasing the number of shards increases the total read capacity and allows the consumer to keep up. Option A is wrong because the write capacity is not the issue; the consumer is behind. Option B is wrong because switching to enhanced fan-out does not address the shard count limitation; it improves dedicated throughput per consumer but the total throughput is still limited by shard count. Option D is wrong because the consumer is already using KCL, and the issue is not related to checkpointing.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company uses Amazon Kinesis Data Streams to ingest clickstream data. The data is consumed by a custom consumer application that writes to Amazon S3 every 5 minutes. The consumer is falling behind and processing lag is increasing. Which action is MOST effective to reduce the lag?
easy
A.Switch to Amazon Kinesis Data Firehose to deliver data directly to S3
B.Increase the batch size of records written to S3
✓ C.Increase the number of shards in the Kinesis stream
D.Reduce the retention period of the stream
Why C: The consumer is falling behind because the stream's throughput capacity is insufficient for the incoming data volume. Increasing the number of shards in the Kinesis stream directly increases the total read capacity (each shard provides 2 MB/s read throughput and 5 transactions/second), allowing the consumer to process more data in parallel and reduce lag.
Last reviewed: Jun 20, 2026
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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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