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Question 1,169 of 1,786

Data Security and Governance →mediumMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is to configure AWS Glue to use Detect Sensitive Data and write encrypted output to S3 with SSE-KMS. This works because Glue’s built-in Detect Sensitive Data feature—using classifiers like custom patterns or the FindMatches ML transform—can scan your data catalog and identify personally identifiable information or other sensitive fields during an ETL job. Once identified, the same job can write the processed data to Amazon S3 while specifying server-side encryption with a customer-managed KMS key (SSE-KMS), meeting the requirement for encryption at rest under your own key control. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of how to combine Glue’s sensitive data detection with S3 encryption options, often appearing as a trap where candidates mistakenly choose S3 default encryption (which uses AWS-managed keys) or Macie (which is a separate service for data discovery, not directly integrated into Glue cataloging). Remember the memory tip: “Glue detects, KMS protects”—the detection and encryption must happen in the same Glue job pipeline to satisfy both security requirements.

DEA-C01 Data Security and Governance Practice Question

This DEA-C01 practice question tests your understanding of data security and governance. 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 AWS Glue to catalog data in Amazon S3. The security team requires that all sensitive data be identified and encrypted at rest using customer-managed KMS keys. Which combination of steps should a data engineer take to meet these requirements?

Question 1mediummultiple choice

Read the full NAT/PAT explanation →

A
Enable S3 Access Logs and use Athena to query the logs for sensitive data patterns.
Why wrong: Access Logs contain metadata, not object content, so they cannot identify sensitive data.
B
Use Amazon Macie to scan the S3 bucket and automatically apply S3 default encryption.
Why wrong: Macie identifies sensitive data but does not automatically apply encryption.
C
Enable S3 default encryption for the bucket and use IAM policies to restrict access.
Why wrong: S3 default encryption can be SSE-S3 or SSE-KMS, but customer-managed KMS keys are not enforced.
D
Configure AWS Glue to use Detect Sensitive Data and write encrypted output to S3 with SSE-KMS.
Glue's Detect Sensitive Data identifies sensitive columns, and the ETL job can encrypt output using customer-managed KMS keys.

Full breakdown with real-world context →

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

✓

Configure AWS Glue to use Detect Sensitive Data and write encrypted output to S3 with SSE-KMS.

Option B is correct because using AWS Glue FindMatches ML transforms or custom classifiers with Detect Sensitive Data can identify sensitive data, and then the Glue ETL job can write to S3 with SSE-KMS. Option A is wrong because S3 default encryption does not guarantee customer-managed KMS keys. Option C is wrong because Macie is not integrated directly with Glue cataloging. Option D is wrong because S3 Access Logs do not help with identification or encryption.

Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Enable S3 Access Logs and use Athena to query the logs for sensitive data patterns.
Why it's wrong here
Access Logs contain metadata, not object content, so they cannot identify sensitive data.
✗
Use Amazon Macie to scan the S3 bucket and automatically apply S3 default encryption.
Why it's wrong here
Macie identifies sensitive data but does not automatically apply encryption.
✗
Enable S3 default encryption for the bucket and use IAM policies to restrict access.
Why it's wrong here
S3 default encryption can be SSE-S3 or SSE-KMS, but customer-managed KMS keys are not enforced.
✓
Configure AWS Glue to use Detect Sensitive Data and write encrypted output to S3 with SSE-KMS.
Why this is correct
Glue's Detect Sensitive Data identifies sensitive columns, and the ETL job can encrypt output using customer-managed KMS keys.
Related concept
Static NAT maps one inside address to one outside address.

Common exam traps

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Detailed technical explanation

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

Identify inside and outside interfaces first.
Check whether the scenario needs static NAT, dynamic NAT or PAT.
Do not confuse NAT matching ACLs with normal packet-filtering intent.

Key takeaway

NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

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.

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.

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FAQ

Questions learners often ask

What does this DEA-C01 question test?

Data Security and Governance — This question tests Data Security and Governance — Static NAT maps one inside address to one outside address..

What is the correct answer to this question?

The correct answer is: Configure AWS Glue to use Detect Sensitive Data and write encrypted output to S3 with SSE-KMS. — Option B is correct because using AWS Glue FindMatches ML transforms or custom classifiers with Detect Sensitive Data can identify sensitive data, and then the Glue ETL job can write to S3 with SSE-KMS. Option A is wrong because S3 default encryption does not guarantee customer-managed KMS keys. Option C is wrong because Macie is not integrated directly with Glue cataloging. Option D is wrong because S3 Access Logs do not help with identification or encryption.

What should I do if I get this DEA-C01 question wrong?

What is the key concept behind this question?

Static NAT maps one inside address to one outside address.

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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.