MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company is using SageMaker to train a model and wants to ensure that the training data is encrypted at rest and in transit, and that the trained model artifacts are also encrypted. Which THREE actions should the company 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
✓
Specify a KMS key in the SageMaker training job configuration to encrypt the ML storage volume
Options A, B, and E are correct. A: Specifying a KMS key in the SageMaker training job configuration encrypts the ML storage volume used during training. B: Enabling SageMaker model encryption with a KMS key encrypts the model artifacts. E: Enabling S3 server-side encryption (SSE-KMS) on the training data bucket encrypts the data at rest in S3 and in transit (when SageMaker accesses it). Option C (VPC with no internet access) provides network isolation but not encryption. Option D (CloudTrail) is for auditing API calls, not encryption.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Specify a KMS key in the SageMaker training job configuration to encrypt the ML storage volume
Why this is correct
Encrypts the training instance's storage volume.
- ✓
Enable SageMaker model encryption using a KMS key
Why this is correct
Encrypts the model artifacts stored in S3.
- ✗
Configure the training job to run in a VPC with no internet access
Why it's wrong here
VPC provides network isolation, not data encryption.
- ✗
Enable AWS CloudTrail to log all API calls
Why it's wrong here
CloudTrail provides logs, not encryption.
- ✓
Enable S3 server-side encryption (SSE-KMS) on the training data bucket
Why this is correct
Encrypts data at rest in S3.
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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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLS-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 MLS-C01 exam.