The answer is to increase the number of shards in the stream. This directly improves Kinesis shard scaling throughput because each shard provides a fixed read capacity of 2 MB per second or 5 transactions per second, so adding shards increases the total read throughput and allows the Kinesis Client Library to spawn more record processors in parallel, enabling the consumer to catch up. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this tests your understanding of Kinesis Data Streams capacity units and the fact that shard count is the primary lever for scaling both write and read throughput; a common trap is to confuse enhanced fan-out, which helps multiple consumers but does not increase throughput for a single consumer falling behind. Remember the mnemonic: “More shards, more cards” — each shard is like a separate lane on a highway, so adding lanes lets your single consumer process more traffic simultaneously.
MLS-C01 Data Engineering Practice Question
This MLS-C01 practice question tests your understanding of data engineering. 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 uses Amazon Kinesis Data Streams with a shard count of 5. The data producer sends 1000 records per second, each 1 KB in size. The consumer application reads from the stream using the Kinesis Client Library (KCL) and processes records. The consumer is experiencing high latency and falling behind. What is the most effective way to improve consumer throughput?
Why wrong: Incorrect: Data Analytics is for SQL queries, not for improving consumer throughput.
B
Use enhanced fan-out to dedicate read throughput to the consumer.
Why wrong: Incorrect: Enhanced fan-out is beneficial when multiple consumers read the same stream; for a single consumer, it does not increase throughput.
C
Increase the record size to 5 KB.
Why wrong: Incorrect: Record size does not affect consumer throughput.
D
Increase the number of shards in the stream.
Correct: More shards provide more read capacity and allow parallel processing.
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 stream.
Increasing the number of shards increases the read throughput and allows more consumers to read in parallel. Option B (increase the number of shards) is correct. Option A (increase record size) is irrelevant. Option C (use Kinesis Data Analytics) adds another service. Option D (use enhanced fan-out) is for multiple consumers, not for a single consumer falling behind.
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.
✗
Switch to Kinesis Data Analytics for processing.
Why it's wrong here
Incorrect: Data Analytics is for SQL queries, not for improving consumer throughput.
✗
Use enhanced fan-out to dedicate read throughput to the consumer.
Why it's wrong here
Incorrect: Enhanced fan-out is beneficial when multiple consumers read the same stream; for a single consumer, it does not increase throughput.
✗
Increase the record size to 5 KB.
Why it's wrong here
Incorrect: Record size does not affect consumer throughput.
✓
Increase the number of shards in the stream.
Why this is correct
Correct: More shards provide more read capacity and allow parallel processing.
Related concept
Read the scenario before looking for a memorised answer.
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 MLS-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 Engineering — This question tests Data Engineering — 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 stream. — Increasing the number of shards increases the read throughput and allows more consumers to read in parallel. Option B (increase the number of shards) is correct. Option A (increase record size) is irrelevant. Option C (use Kinesis Data Analytics) adds another service. Option D (use enhanced fan-out) is for multiple consumers, not for a single consumer falling behind.
What should I do if I get this MLS-C01 question wrong?
Identify which MLS-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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