DEA-C01 Data Security and Governance Practice Question
A company is using AWS Lake Formation to manage a data lake. The data engineer needs to set up fine-grained access control so that users can only see specific columns in a table based on their IAM role. Which THREE steps should the data engineer take?
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
✓
Ensure that the users query the table through a service integrated with Lake Formation, such as Athena.
Options A, B, and D are correct. Lake Formation column-level access requires defining the policy in Lake Formation, granting permissions to the IAM role, and the user must use Lake Formation-enabled services. Option C is wrong because S3 bucket policies are not used for column-level control. Option E is wrong because the table must be registered with Lake Formation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Ensure that the users query the table through a service integrated with Lake Formation, such as Athena.
Why this is correct
Lake Formation enforces permissions when queries are run through integrated services.
- ✓
Grant the IAM role SELECT permission on the table with column-level restrictions.
Why this is correct
Permissions are granted to IAM roles or users.
- ✗
Create a view in the Data Catalog that exposes only the required columns.
Why it's wrong here
Creating a view is an alternative but not a step for Lake Formation column-level control.
- ✓
Define a Lake Formation data permissions policy that includes column-level filtering.
Why this is correct
Lake Formation permissions can specify which columns are accessible.
- ✗
Attach an S3 bucket policy to restrict access to the underlying data.
Why it's wrong here
S3 bucket policies are not fine-grained to column level.
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.