- A
Use AWS Glue ETL to read from the S3 bucket and write redacted data to another S3 bucket.
Glue can process and redact PII in a batch job after data is in S3.
- B
Use Amazon Athena to query the data and redact PII on the fly.
Why wrong: Athena can query but cannot modify or write redacted data back to S3.
- C
Use Amazon Macie to discover and automatically redact PII before storage.
Macie can discover PII, and with custom data identifiers or integration, can trigger redaction (e.g., via Lambda).
- D
Use AWS Database Migration Service (AWS DMS) to replicate data and apply transformations.
Why wrong: DMS is for database migration, not for S3 data redaction.
- E
Use an AWS Lambda function as a transformation in the Firehose delivery stream.
Firehose allows invoking a Lambda function to transform records before delivery.
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 company uses Amazon Kinesis Data Firehose to deliver data to an S3 bucket. The data contains personally identifiable information (PII) that must be redacted before storage. Which THREE actions can achieve this requirement? (Choose THREE.)
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 ETL to read from the S3 bucket and write redacted data to another S3 bucket.
Option A is correct because AWS Glue ETL can read data from the source S3 bucket, apply transformations (including redacting PII fields using custom scripts or built-in transforms), and write the cleaned data to a target S3 bucket. This decouples the redaction from the ingestion pipeline and allows for complex, schema-aware transformations using Apache Spark or Python.
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 AWS Glue ETL to read from the S3 bucket and write redacted data to another S3 bucket.
Why this is correct
Glue can process and redact PII in a batch job after data is in S3.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Amazon Athena to query the data and redact PII on the fly.
Why it's wrong here
Athena can query but cannot modify or write redacted data back to S3.
- ✓
Use Amazon Macie to discover and automatically redact PII before storage.
Why this is correct
Macie can discover PII, and with custom data identifiers or integration, can trigger redaction (e.g., via Lambda).
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use AWS Database Migration Service (AWS DMS) to replicate data and apply transformations.
Why it's wrong here
DMS is for database migration, not for S3 data redaction.
- ✓
Use an AWS Lambda function as a transformation in the Firehose delivery stream.
Why this is correct
Firehose allows invoking a Lambda function to transform records before delivery.
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 may assume Macie can automatically redact PII during ingestion, but Macie is a discovery and classification service, not a data transformation service; it cannot modify data in flight or in place without additional automation.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose supports Lambda functions as data transformation processors, which can inspect and modify each record before delivery to S3. This is ideal for real-time redaction because the Lambda runs within the Firehose buffer interval (default 60 seconds or 1 MB), allowing PII to be removed before the data lands in the bucket. Macie can discover PII but requires a separate workflow to trigger redaction, often via Lambda or Glue, as it does not natively modify data in transit.
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.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use AWS Glue ETL to read from the S3 bucket and write redacted data to another S3 bucket. — Option A is correct because AWS Glue ETL can read data from the source S3 bucket, apply transformations (including redacting PII fields using custom scripts or built-in transforms), and write the cleaned data to a target S3 bucket. This decouples the redaction from the ingestion pipeline and allows for complex, schema-aware transformations using Apache Spark or Python.
What should I do if I get this DEA-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: Jun 24, 2026
This DEA-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 DEA-C01 exam.
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