- A
Encrypt the training data in S3 using AWS KMS
Encryption protects data at rest.
- B
Use server-side encryption with S3-managed keys
Why wrong: S3-managed keys are less secure than KMS; also the question asks for TWO, and A is the better encryption choice.
- C
Use SageMaker's data processing to redact PII before training
Redaction removes PII from training data.
- D
Enable AWS CloudTrail to log all access to the data
Why wrong: Logging does not prevent exposure.
- E
Grant public read access to the training data for faster access
Why wrong: Public access is a security risk.
Question 181 of 1,755
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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.)
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
Option A is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often 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.
Detailed technical explanation
How to think about this question
Under the hood, AWS KMS integrates with S3 to encrypt objects using envelope encryption, where a CMK generates a data key that encrypts the object, and the data key itself is encrypted by the CMK. For PII redaction, SageMaker's built-in data processing capabilities, such as using Amazon Comprehend or custom processing scripts, can identify and mask PII fields before training, ensuring the model never sees the raw sensitive data. In a real-world scenario, a healthcare company might use KMS encryption for patient records in S3 and run a SageMaker Processing job with a redaction script to remove names and SSNs before feeding data into a model.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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 |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Encrypt the training data in S3 using AWS KMS — Option A is correct because 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.
What should I do if I get this MLS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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