DEA-C01 Data Security and Governance Practice Question
A company is designing a data lake on AWS and must comply with GDPR requirements. The company needs to implement data masking for personally identifiable information (PII) columns in Amazon Redshift. Which feature should be used?
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
✓
Create views in Redshift that apply masking functions
Amazon Redshift supports dynamic data masking through views that apply masking functions, such as using CASE statements or custom masking functions to obfuscate PII columns. Option A is incorrect because Amazon RDS Proxy is a connection proxy for RDS databases and does not provide data masking capabilities for Redshift. Option B is incorrect because Amazon S3 Object Lambda is used to transform data in S3, not to mask data in Redshift queries. Option D is incorrect because AWS Lake Formation row-level security filters rows based on permissions but does not mask or obfuscate column values; it is for access control, not data masking.
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 Amazon RDS Proxy to intercept queries
Why it's wrong here
RDS Proxy is for RDS, not Redshift.
- ✗
Amazon S3 Object Lambda to mask data on the fly
Why it's wrong here
S3 Object Lambda works at the S3 level, not Redshift.
- ✓
Create views in Redshift that apply masking functions
Why this is correct
Redshift views can apply masking functions to hide PII.
- ✗
AWS Lake Formation row-level security
Why it's wrong here
Lake Formation row-level security does not mask columns.
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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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.