MLS-C01 Modeling Practice Question
A company uses SageMaker to train a model that processes sensitive customer data. Due to compliance, the training data must be encrypted at rest and in transit, and the model artifacts must be stored in a secured S3 bucket with encryption. Which combination of actions is REQUIRED?
⚠ Common exam trap
Many candidates assume SSE-S3 alone is sufficient for compliance, but it does not cover encryption in transit or SageMaker-specific encryption, and they overlook the requirement for KMS to encrypt the SageMaker environment itself.
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
✓
Enable AWS KMS encryption for the SageMaker notebook and training job, and use an S3 bucket with default encryption using AWS KMS
It ensures end-to-end encryption: AWS KMS encryption for the SageMaker notebook and training job encrypts data in transit and at rest within the SageMaker environment, while an S3 bucket with default encryption using AWS KMS encrypts the training data and model artifacts at rest. This combination meets compliance requirements for encryption at rest and in transit, as KMS provides envelope encryption with customer-managed keys, and SageMaker automatically uses TLS for data in transit when KMS is enabled.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Store data in an S3 bucket with AWS CloudHSM integration
Why it's wrong here
CloudHSM integration is complex and not standard for SageMaker.
- ✗
Use an S3 bucket with SSE-S3 and enable SageMaker Internet-facing mode
Why it's wrong here
Internet-facing mode does not add encryption.
- ✗
Use an S3 bucket with default encryption (SSE-S3) and enable SSL for all connections
Why it's wrong here
SSE-S3 encrypts at rest but does not use KMS; SSL encrypts in transit. However, compliance may require KMS.
- ✓
Enable AWS KMS encryption for the SageMaker notebook and training job, and use an S3 bucket with default encryption using AWS KMS
Why this is correct
KMS encryption ensures encryption at rest and in transit for SageMaker and 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 |
Go deeper
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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.