DEA-C01 Data Security and Governance Practice Question
A company uses Amazon QuickSight for data visualization. The data engineer needs to ensure that users can only see data relevant to their department. The data is stored in Amazon S3 and is accessed via SPICE. The engineer has created datasets in QuickSight and wants to implement row-level security (RLS). The dataset contains a column 'Department' that indicates which department a row belongs to. The engineer has configured RLS rules using a separate permissions dataset. However, users report that they can see all rows, not just their department's rows. What is the most likely reason?
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
✓
The RLS permissions dataset is not correctly configured to map users to department values.
The most likely reason because the RLS permissions dataset must correctly map each user to the specific department values they are allowed to see. If this mapping is misconfigured or missing, QuickSight will default to showing all rows, making the RLS ineffective. The 'Department' column is present in the dataset (Option B is false). Admin access to the dashboard does not bypass RLS at the dataset level (Option C is false). SPICE datasets fully support row-level security (Option D is false).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The RLS permissions dataset is not correctly configured to map users to department values.
Why this is correct
Correct. The permissions dataset likely has incorrect or incomplete mappings, causing RLS to not apply.
- ✗
The 'Department' column is not included in the dataset.
Why it's wrong here
Incorrect. The scenario states the 'Department' column is included in the dataset.
- ✗
The users have been granted admin access to the QuickSight dashboard.
Why it's wrong here
Incorrect. Admin access to a dashboard does not override RLS rules on the underlying dataset.
- ✗
The SPICE dataset does not support row-level security.
Why it's wrong here
Incorrect. SPICE datasets support row-level security when properly configured.
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 |
Go deeper
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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.