- A
Amazon Kinesis Data Streams
Why wrong: Kinesis Data Streams requires a consumer application to process the data, adding operational overhead.
- B
AWS Glue
Why wrong: AWS Glue is a serverless ETL service, not designed for real-time streaming ingestion.
- C
Amazon Managed Streaming for Apache Kafka (Amazon MSK)
Why wrong: MSK is a managed Kafka cluster but still requires management of producers, consumers, and scaling.
- D
Amazon Kinesis Data Firehose
Kinesis Data Firehose can directly ingest streaming data and deliver to S3 without managing servers.
Question 1,186 of 1,755
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 needs to ingest streaming data from an on-premises Kafka cluster into Amazon S3 with minimal operational overhead. Which AWS service should be used to stream the data into S3 without managing servers?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is the correct choice because it is a fully managed service that can directly ingest streaming data from an on-premises Kafka cluster (via a Kinesis Data Firehose HTTP endpoint or a custom producer) and deliver it to Amazon S3 without requiring any server management. It handles scaling, buffering, and compression automatically, minimizing operational overhead.
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.
- ✗
Amazon Kinesis Data Streams
Why it's wrong here
Kinesis Data Streams requires a consumer application to process the data, adding operational overhead.
- ✗
AWS Glue
Why it's wrong here
AWS Glue is a serverless ETL service, not designed for real-time streaming ingestion.
- ✗
Amazon Managed Streaming for Apache Kafka (Amazon MSK)
Why it's wrong here
MSK is a managed Kafka cluster but still requires management of producers, consumers, and scaling.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Kinesis Data Firehose can directly ingest streaming data and deliver to S3 without managing servers.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon MSK (a managed Kafka cluster) with a direct S3 ingestion service, but MSK still requires you to build and manage the pipeline to S3, whereas Kinesis Data Firehose is purpose-built for serverless streaming to destinations like S3.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose uses a buffering mechanism (configurable up to 60 seconds or 128 MB) to batch records before writing to S3, which optimizes cost and performance. It can also transform data on the fly using AWS Lambda, and supports compression formats like GZIP, Snappy, and Parquet. In a real-world scenario, you would configure a Kafka Connect S3 sink connector or a custom producer to send data to Firehose via its HTTP endpoint, ensuring near-real-time delivery without managing any servers.
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.
TExam Day Tips
- 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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
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: Amazon Kinesis Data Firehose — Amazon Kinesis Data Firehose is the correct choice because it is a fully managed service that can directly ingest streaming data from an on-premises Kafka cluster (via a Kinesis Data Firehose HTTP endpoint or a custom producer) and deliver it to Amazon S3 without requiring any server management. It handles scaling, buffering, and compression automatically, minimizing operational overhead.
What should I do if I get this MLS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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