DEA-C01 Data Security and Governance Practice Question
A company uses Redshift for analytics. The security team requires that all queries be logged and that any access to sensitive columns be blocked for non-admin users. Which combination of features should the data engineer implement?
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
✓
Enable Redshift audit logging and create views that expose only non-sensitive columns, granting access to views.
Redshift audit logging captures all queries, and creating views that expose only non-sensitive columns with access granted to those views enforces column-level access control for non-admin users. Option B is incorrect because row-level security is not supported in Redshift, and CloudTrail logging alone does not block access. Option C is incorrect because CloudWatch Logs do not control access; they only provide monitoring. Option D is incorrect because IAM policies cannot restrict access to specific columns in Redshift.
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 Redshift audit logging and create views that expose only non-sensitive columns, granting access to views.
Why this is correct
Views can restrict column access, and audit logging captures queries.
- ✗
Use Redshift row-level security and enable CloudTrail logging.
Why it's wrong here
Row-level security in Redshift is not available.
- ✗
Enable CloudWatch Logs for Redshift and use IAM conditions to block sensitive columns.
Why it's wrong here
CloudWatch Logs do not provide column-level access control.
- ✗
Enable Redshift audit logging and use IAM policies to restrict column access.
Why it's wrong here
IAM policies cannot restrict column-level access within Redshift.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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