- A
AWS Glue
Glue can process streaming data with streaming ETL jobs.
- B
Amazon Redshift Spectrum
Why wrong: Redshift Spectrum queries data in S3, does not transform in transit.
- C
AWS Data Pipeline
Why wrong: Data Pipeline moves data between sources, but not real-time transformation.
- D
Amazon Kinesis Data Firehose
Firehose can transform data using Lambda before delivery.
- E
Amazon Athena
Why wrong: Athena queries data at rest, not in transit.
Question 301 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.
Which TWO AWS services can be used to transform data in transit before storing it in Amazon S3? (Choose TWO.)
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
✓
AWS Glue
AWS Glue is correct because it provides a serverless data integration service that can transform data in transit using its built-in transformation jobs (e.g., PySpark scripts) before writing the results to Amazon S3. This allows you to clean, enrich, or reshape streaming or batch data as it moves through the pipeline.
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.
- ✓
AWS Glue
Why this is correct
Glue can process streaming data with streaming ETL jobs.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Redshift Spectrum
Why it's wrong here
Redshift Spectrum queries data in S3, does not transform in transit.
- ✗
AWS Data Pipeline
Why it's wrong here
Data Pipeline moves data between sources, but not real-time transformation.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Firehose can transform data using Lambda before delivery.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Athena
Why it's wrong here
Athena queries data at rest, not in transit.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse query engines (like Athena or Redshift Spectrum) with transformation services, forgetting that in-transit transformation requires processing before the data reaches its final storage location.
Detailed technical explanation
How to think about this question
AWS Glue uses Apache Spark under the hood, allowing you to define ETL jobs that can read from streaming sources (e.g., Kinesis Data Streams) or batch sources, apply transformations like filtering, mapping, or aggregations, and then write the transformed data to S3. Amazon Kinesis Data Firehose can invoke a Lambda function for lightweight, per-record transformations (e.g., converting JSON to Parquet) before delivering the data to S3, making it ideal for real-time streaming use cases. Both services operate on data while it is in motion, not after it has been stored.
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: AWS Glue — AWS Glue is correct because it provides a serverless data integration service that can transform data in transit using its built-in transformation jobs (e.g., PySpark scripts) before writing the results to Amazon S3. This allows you to clean, enrich, or reshape streaming or batch data as it moves through the pipeline.
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.
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 →
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Last reviewed: Jul 4, 2026
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.
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