MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company is using Amazon SageMaker to train a model. The training data includes sensitive personally identifiable information (PII). The company needs to ensure that the training data is protected and that the trained model does not inadvertently expose PII. Which TWO actions should the company take? (Choose TWO.)
⚠ Common exam trap
A common mix-up: candidates confuse logging (CloudTrail) with data protection, or assume that any form of S3 encryption (like SSE-S3) is sufficient, when the question specifically requires control over keys and PII redaction to prevent model exposure.
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 training data in S3 using AWS KMS
Encrypting the training data in S3 using AWS KMS ensures that the data is protected at rest with customer-managed keys, providing a strong security control for sensitive PII. This encryption prevents unauthorized access to the raw data stored in S3, which is a fundamental requirement for data protection.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Encrypt the training data in S3 using AWS KMS
Why this is correct
Encryption protects data at rest.
- ✗
Use server-side encryption with S3-managed keys
Why it's wrong here
S3-managed keys are less secure than KMS; also the question asks for TWO, and A is the better encryption choice.
- ✓
Use SageMaker's data processing to redact PII before training
Why this is correct
Redaction removes PII from training data.
- ✗
Enable AWS CloudTrail to log all access to the data
Why it's wrong here
Logging does not prevent exposure.
- ✗
Grant public read access to the training data for faster access
Why it's wrong here
Public access is a security risk.
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
Related to this question
About these practice questions
Courseiva writes every MLS-C01 question from scratch — 1,672 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.