Question 133 of 835
easyMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A machine learning engineer wants to encrypt…
A machine learning engineer wants to encrypt model artifacts stored in Amazon S3. The artifacts are created and used by SageMaker training jobs and endpoints. What is the simplest way to ensure encryption at rest?
⚠ Common exam trap
The trap here is that candidates may overcomplicate the solution by choosing a KMS-based option (B or D) because they assume encryption always requires a managed or custom key, overlooking that SSE-S3 is the simplest built-in option for encryption at rest.
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 an S3 bucket with default encryption using SSE-S3 and allow SageMaker access.
SSE-S3 provides server-side encryption with Amazon S3-managed keys, which is the simplest way to encrypt data at rest because it requires no additional key management or configuration beyond enabling default encryption on the bucket. SageMaker training jobs and endpoints can seamlessly read and write encrypted objects when the bucket has default SSE-S3 enabled, as SageMaker automatically handles the decryption during access. This approach minimizes operational overhead while meeting the encryption-at-rest requirement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Create an S3 bucket with default encryption using SSE-S3 and allow SageMaker access.
Why this is correct
SSE-S3 provides encryption at rest with no additional configuration, and SageMaker can read/write objects without any extra setup.
- ✗
Use SageMaker's default encryption with an AWS managed key.
Why it's wrong here
SageMaker does not have a built-in default encryption for artifacts; encryption must be configured on the S3 bucket.
- ✗
Enable S3 bucket versioning and MFA delete.
Why it's wrong here
Versioning and MFA delete address data protection and accidental deletion, not encryption.
- ✗
Use a custom KMS key and grant SageMaker permission to use it.
Why it's wrong here
While KMS is possible, it requires more setup than SSE-S3, making it not the simplest option.
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 |
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Last reviewed: Jul 4, 2026
This MLA-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 MLA-C01 exam.
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