- A
Use Amazon RDS Proxy to intercept queries
Why wrong: RDS Proxy is for RDS, not Redshift.
- B
Amazon S3 Object Lambda to mask data on the fly
Why wrong: S3 Object Lambda works at the S3 level, not Redshift.
- C
Create views in Redshift that apply masking functions
Redshift views can apply masking functions to hide PII.
- D
AWS Lake Formation row-level security
Why wrong: Lake Formation row-level security does not mask columns.
Question 1,498 of 1,786
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 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
Option C is correct. 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.
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 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.
Related concept
CIDR notation defines the prefix length.
- ✗
AWS Lake Formation row-level security
Why it's wrong here
Lake Formation row-level security does not mask columns.
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 DEA-C01 subnetting questions on CIDR, address ranges, and subnet selection.
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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 — CIDR notation defines the prefix length..
What is the correct answer to this question?
The correct answer is: Create views in Redshift that apply masking functions — Option C is correct. 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.
What should I do if I get this DEA-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 DEA-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: Jun 20, 2026
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