Question 363 of 1,711
DEA-C01 Data Security and Governance Practice Question
A data engineer is configuring a data lake on Amazon S3 that contains sensitive customer information. The company requires that all access to this data be logged and monitored, and that any data shared with external partners must be anonymized before leaving the S3 bucket. Which combination of AWS services should the engineer use to meet these requirements? (Choose THREE.)
⚠ Common exam trap
It's easy for candidates to confuse AWS WAF (a web-layer security tool) with data-level security, or assume Direct Connect provides logging and monitoring, when in fact neither service addresses S3 data access logging or anonymization.
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 Lake Formation
AWS Lake Formation (B) is correct because it provides fine-grained access control and data anonymization capabilities for data lakes on Amazon S3. It allows you to define column-level and row-level security policies, and can automatically anonymize sensitive data (e.g., via masking or tokenization) before it is shared with external partners, ensuring compliance with data governance requirements.
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 WAF
Why it's wrong here
WAF is for web application firewall, not data logging or anonymization.
- ✓
AWS Lake Formation
Why this is correct
Lake Formation provides fine-grained access control and can be used to enforce anonymization policies.
- ✓
AWS CloudTrail
Why this is correct
CloudTrail logs API calls to S3, meeting logging requirement.
- ✗
AWS Direct Connect
Why it's wrong here
Direct Connect is a network connection service, not for security governance.
- ✓
Amazon Macie
Why this is correct
Macie discovers sensitive data, helping identify what needs anonymization.
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 |
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Last reviewed: Jun 11, 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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