MLS-C01 Practice Question: Machine Learning Implementation and Operations
Which THREE steps should be taken to secure a SageMaker notebook instance that accesses sensitive data? (Select THREE.)
⚠ Common exam trap
A common mix-up: candidates confuse 'root access' with necessary administrative flexibility, not realizing that SageMaker notebook instances already provide sufficient permissions via IAM roles, and root access introduces security vulnerabilities without any operational benefit.
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 encryption at rest for the notebook's EBS volume
SageMaker notebook instances use an Amazon EBS volume for storage, and enabling encryption at rest for this volume ensures that sensitive data stored on the notebook (e.g., datasets, model artifacts) is encrypted using AWS KMS-managed keys. This protects data at the storage layer, which is a fundamental security requirement for compliance with standards like HIPAA or PCI DSS.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable encryption at rest for the notebook's EBS volume
Why this is correct
Protects stored data.
- ✗
Grant root access to the notebook instance for flexibility
Why it's wrong here
Root access is a security risk.
- ✓
Place the notebook instance inside a VPC with no internet access
Why this is correct
Isolates the notebook.
- ✗
Allow direct internet access from the notebook for downloading packages
Why it's wrong here
Increases attack surface.
- ✓
Use an IAM role with least privilege permissions for the notebook
Why this is correct
Restricts access.
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.