DEA-C01 Data Security and Governance Practice Question
A data engineer needs to grant an IAM user read-only access to an S3 bucket named 'data-lake'. Which IAM policy statement 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
✓
{"Effect":"Allow","Action":["s3:ListBucket","s3:GetObject"],"Resource":["arn:aws:s3:::data-lake","arn:aws:s3:::data-lake/*"]}
It allows ListBucket on the bucket and GetObject on objects, enabling read-only access. Option A is wrong because it grants write actions (PutObject, DeleteObject). Option B is wrong because it allows all S3 actions (s3:*). Option D is wrong because it only allows ListBucket, not GetObject.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
{"Effect":"Allow","Action":["s3:PutObject","s3:DeleteObject"],"Resource":"arn:aws:s3:::data-lake/*"}
Why it's wrong here
This statement grants write and delete permissions, directly contradicting the read-only requirement, and omits s3:GetObject entirely. It would suit a role needing to modify objects in the bucket. Read-only access requires allowing s3:GetObject and s3:ListBucket on the bucket and its objects.
- ✗
{"Effect":"Allow","Action":"s3:*","Resource":"*"}
Why it's wrong here
Granting s3:* on all resources provides full S3 administrative access far beyond read-only, violating least privilege. Such wildcard policies suit temporary administrative or break-glass roles. The scenario demands only s3:GetObject and s3:ListBucket scoped to the data-lake bucket and its objects.
- ✓
{"Effect":"Allow","Action":["s3:ListBucket","s3:GetObject"],"Resource":["arn:aws:s3:::data-lake","arn:aws:s3:::data-lake/*"]}
Why this is correct
The policy pairs bucket-level `s3:ListBucket` with object-level `s3:GetObject`, mapping each action to the correct ARN: `arn:aws:s3:::data-lake` for the bucket itself and `arn:aws:s3:::data-lake/*` for its objects. This satisfies the read-only requirement, since listing needs bucket scope while retrieval needs object scope.
- ✗
{"Effect":"Allow","Action":"s3:ListBucket","Resource":"arn:aws:s3:::data-lake"}
Why it's wrong here
s3:ListBucket alone permits listing object keys but not retrieving object contents, so reads of actual data fail. This action suits scenarios where only bucket inventory visibility is needed. Read-only access also requires s3:GetObject on arn:aws:s3:::data-lake/*.
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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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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