- A
Use AWS Glue DataBrew to define PII masking transformations
DataBrew provides built-in transforms for PII detection and masking.
- B
Use Amazon Kinesis Data Firehose to transform data at ingestion
Why wrong: Firehose is for streaming, not batch ETL from S3.
- C
Use AWS Glue Data Catalog to automatically mask PII fields
Why wrong: Data Catalog is a metadata store; it does not perform data transformations.
- D
Use AWS Glue ETL scripts with PySpark to apply custom masking functions
Glue ETL can run custom PySpark code to mask PII columns.
- E
Use AWS Glue Crawler to detect and mask PII automatically
Why wrong: Crawlers infer schema and populate the catalog; they do not mask data.
Question 639 of 1,000
mediumMultiple SelectObjective-mapped
MLA-C01 Practice Question: A data engineer is designing an ETL pipeline…
This MLA-C01 practice question tests your understanding of mla-c01 exam topics. 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 designing an ETL pipeline using AWS Glue to transform raw data from S3 into a curated set for ML training. The data contains personally identifiable information (PII) that must be masked before being used by data scientists. Which TWO actions should the engineer take? (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
✓
Use AWS Glue DataBrew to define PII masking transformations
AWS Glue ETL jobs support custom transforms via PySpark. DataBrew provides a visual interface for data preparation including PII masking. The Glue Data Catalog is for metadata, not transformation. Crawlers catalog data, not mask. Kinesis Firehose is for streaming, not batch ETL.
Key principle: Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
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 AWS Glue DataBrew to define PII masking transformations
Why this is correct
DataBrew provides built-in transforms for PII detection and masking.
Related concept
CIDR notation defines the prefix length.
- ✗
Use Amazon Kinesis Data Firehose to transform data at ingestion
Why it's wrong here
Firehose is for streaming, not batch ETL from S3.
- ✗
Use AWS Glue Data Catalog to automatically mask PII fields
Why it's wrong here
Data Catalog is a metadata store; it does not perform data transformations.
- ✓
Use AWS Glue ETL scripts with PySpark to apply custom masking functions
Why this is correct
Glue ETL can run custom PySpark code to mask PII columns.
Related concept
CIDR notation defines the prefix length.
- ✗
Use AWS Glue Crawler to detect and mask PII automatically
Why it's wrong here
Crawlers infer schema and populate the catalog; they do not mask data.
Common exam traps
Common exam trap: usable hosts are not the same as total addresses
Subnetting questions often tempt you into counting all addresses. In normal IPv4 subnets, the network and broadcast addresses are not usable host addresses.
Detailed technical explanation
How to think about this question
Subnetting questions test whether you can identify the network, broadcast address, usable range, mask and correct subnet. Slow down enough to calculate the block size correctly.
KKey Concepts to Remember
- CIDR notation defines the prefix length.
- Block size helps identify subnet boundaries.
- Network and broadcast addresses are not usable hosts in normal IPv4 subnets.
- The required host count determines the smallest suitable subnet.
TExam Day Tips
- Write the block size before choosing the subnet.
- Check whether the question asks for hosts, subnets or a specific address range.
- Do not confuse /24, /25, /26 and /27 host counts.
Key takeaway
Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
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.
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related MLA-C01 subnetting questions on CIDR, address ranges, and subnet selection.
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
CIDR notation defines the prefix length.
What is the correct answer to this question?
The correct answer is: Use AWS Glue DataBrew to define PII masking transformations — AWS Glue ETL jobs support custom transforms via PySpark. DataBrew provides a visual interface for data preparation including PII masking. The Glue Data Catalog is for metadata, not transformation. Crawlers catalog data, not mask. Kinesis Firehose is for streaming, not batch ETL.
What should I do if I get this MLA-C01 question wrong?
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related MLA-C01 subnetting questions on CIDR, address ranges, and subnet selection.
What is the key concept behind this question?
CIDR notation defines the prefix length.
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Last reviewed: Jul 4, 2026
This MLA-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 MLA-C01 exam.
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