MLS-C01 Practice Question: Machine Learning Implementation and Operations
A data engineer is building a data pipeline for a machine learning project using Amazon SageMaker. The raw data is stored in Amazon S3. Which TWO steps are essential to ensure data privacy and security before training? (Choose TWO.)
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
✓
Encrypt the data at rest using S3 server-side encryption
Options C and E are correct because data privacy and security require encryption at rest (e.g., S3 server-side encryption) and secure network access (e.g., using SageMaker in a VPC with VPC endpoints). Option C ensures data is encrypted when stored in S3. Option E prevents data from traversing the public internet and allows fine-grained access control. Options A, B, and D are not essential for privacy/security: A (bucket policy) is a means of access control but not as fundamental as encryption; B (versioning) protects against accidental deletion, not privacy; D (Transfer Acceleration) is a performance feature, not a security measure.
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 a bucket policy that restricts access to the data scientist's IAM role only
Why it's wrong here
This controls access but does not encrypt data.
- ✗
Enable versioning on the S3 bucket
Why it's wrong here
Versioning is for data recovery, not privacy.
- ✓
Encrypt the data at rest using S3 server-side encryption
Why this is correct
Encryption protects data at rest.
- ✗
Use S3 Transfer Acceleration for faster uploads
Why it's wrong here
Transfer Acceleration is for speed, not security.
- ✓
Use Amazon SageMaker in a VPC and configure VPC endpoints to access S3 securely
Why this is correct
VPC endpoints ensure data does not traverse the internet.
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.