The correct answer is to use Amazon Kinesis Data Streams for capturing the streaming data and Amazon Kinesis Data Firehose to deliver it to S3. This combination works because Kinesis Data Streams provides the low-latency, real-time ingestion layer needed for IoT data, while Kinesis Data Firehose handles the reliable, automated delivery of that processed data into S3 for durable storage and downstream analysis. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this scenario tests your understanding of the streaming data pipeline architecture, often appearing as a distractor where candidates mistakenly choose S3 itself (a storage service, not an ingestion service) or AWS Glue (designed for batch ETL, not real-time streaming). A common trap is confusing SQS with Kinesis, but SQS is a message queue for decoupling applications, not optimized for high-throughput streaming analytics. Memory tip: think of Kinesis Data Streams as the “live tap” for data and Firehose as the “hose” that fills your S3 bucket.
MLS-C01 Data Engineering Practice Question
This MLS-C01 practice question tests your understanding of data engineering. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 data engineer is building a data pipeline that ingests streaming data from IoT devices. The data must be processed in near real-time and stored in Amazon S3 for further analysis. Which AWS service should be used to capture and process the streaming data before storing it in S3?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Amazon Kinesis Data Streams to capture the data and Amazon Kinesis Data Firehose to deliver it to S3.
Amazon Kinesis Data Streams is designed for real-time data ingestion and can be integrated with Lambda for processing. Kinesis Data Firehose can then load the data into S3. Option A is wrong because S3 is a storage service, not a streaming ingestion service. Option B is wrong because AWS Glue is for ETL and cataloging, not real-time streaming. Option D is wrong because SQS is a message queue, not optimized for streaming analytics.
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.
✗
Use Amazon S3 with S3 Event Notifications to trigger AWS Lambda for processing.
Why it's wrong here
S3 is object storage, not designed for real-time streaming ingestion.
✗
Use AWS Glue to perform ETL on the streaming data.
Why it's wrong here
AWS Glue is for batch ETL and data catalog, not real-time streaming.
✓
Use Amazon Kinesis Data Streams to capture the data and Amazon Kinesis Data Firehose to deliver it to S3.
Why this is correct
Kinesis Data Streams ingests real-time data and Kinesis Data Firehose delivers it to S3.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Amazon Simple Queue Service (SQS) to buffer the data and then process it with AWS Lambda.
Why it's wrong here
SQS is a message queue; not optimized for streaming analytics.
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 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: Use Amazon Kinesis Data Streams to capture the data and Amazon Kinesis Data Firehose to deliver it to S3. — Amazon Kinesis Data Streams is designed for real-time data ingestion and can be integrated with Lambda for processing. Kinesis Data Firehose can then load the data into S3. Option A is wrong because S3 is a storage service, not a streaming ingestion service. Option B is wrong because AWS Glue is for ETL and cataloging, not real-time streaming. Option D is wrong because SQS is a message queue, not optimized for streaming analytics.
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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This MLS-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 MLS-C01 exam.
Question Discussion
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