- A
Enable HTTPS for the endpoint
HTTPS encrypts data in transit.
- B
Configure the endpoint to use a VPC
Why wrong: VPC provides network isolation, not encryption.
- C
Store the model artifacts in Amazon S3 with SSE-S3 encryption
Why wrong: SSE-S3 is less secure; SSE-KMS is preferred for sensitive data.
- D
Enable encryption at rest for the endpoint's ML storage volume
Encryption at rest protects data stored on the endpoint.
- E
Attach an IAM policy to the endpoint to allow only authorized principals
IAM policies control access to the endpoint.
Question 1,075 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. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 deploying a machine learning model to an Amazon SageMaker endpoint. The model receives requests with sensitive data that must be encrypted in transit and at rest. Additionally, the company needs to control access to the endpoint using AWS IAM. Which THREE steps should the company take to meet these requirements? (Choose THREE.)
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 HTTPS for the endpoint
Option A is correct because enabling HTTPS for the SageMaker endpoint encrypts data in transit using TLS/SSL. SageMaker endpoints support HTTPS by default when using the InvokeEndpoint API, and you can enforce HTTPS by configuring a custom VPC and security group to only allow HTTPS traffic. Option D is correct because encryption at rest for the endpoint's ML storage volume can be enabled by specifying an AWS KMS key when creating the endpoint configuration. This encrypts the temporary storage used during inference. Option E is correct by attaching a resource-based IAM policy to the endpoint to control which IAM principals (users, roles) can invoke the endpoint, meeting access control requirements. Option B is incorrect because using a VPC is not required for encryption or access control; it provides network isolation but does not directly enforce HTTPS or IAM access. Option C is incorrect because SSE-S3 encrypts model artifacts in S3, not the endpoint's ML storage volume; encryption at rest for the endpoint must be configured at the endpoint level.
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.
- ✓
Enable HTTPS for the endpoint
Why this is correct
HTTPS encrypts data in transit.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure the endpoint to use a VPC
Why it's wrong here
VPC provides network isolation, not encryption.
- ✗
Store the model artifacts in Amazon S3 with SSE-S3 encryption
Why it's wrong here
SSE-S3 is less secure; SSE-KMS is preferred for sensitive data.
- ✓
Enable encryption at rest for the endpoint's ML storage volume
Why this is correct
Encryption at rest protects data stored on the endpoint.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Attach an IAM policy to the endpoint to allow only authorized principals
Why this is correct
IAM policies control access to the endpoint.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse encryption at rest for model artifacts in S3 (Option C) with encryption at rest for the endpoint's ML storage volume, which is a separate requirement; the exam tests whether you know that the endpoint's storage volume encryption is configured at the endpoint level, not via S3 SSE-S3.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker endpoints use Amazon EBS volumes for ML storage volumes (e.g., for model artifacts and temporary data), and enabling encryption at rest for these volumes uses AWS KMS-managed keys to encrypt the EBS volume at the block level. For HTTPS, SageMaker endpoints automatically support TLS 1.2, and you can enforce HTTPS by using a VPC with a security group that only allows inbound HTTPS traffic, or by using a custom domain with an SSL certificate via AWS Certificate Manager. The IAM policy attached to the endpoint (via a resource-based policy) controls which IAM principals can invoke the endpoint, using the 'sagemaker:InvokeEndpoint' action.
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
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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: Enable HTTPS for the endpoint — Option A is correct because enabling HTTPS for the SageMaker endpoint encrypts data in transit using TLS/SSL. SageMaker endpoints support HTTPS by default when using the InvokeEndpoint API, and you can enforce HTTPS by configuring a custom VPC and security group to only allow HTTPS traffic. Option D is correct because encryption at rest for the endpoint's ML storage volume can be enabled by specifying an AWS KMS key when creating the endpoint configuration. This encrypts the temporary storage used during inference. Option E is correct by attaching a resource-based IAM policy to the endpoint to control which IAM principals (users, roles) can invoke the endpoint, meeting access control requirements. Option B is incorrect because using a VPC is not required for encryption or access control; it provides network isolation but does not directly enforce HTTPS or IAM access. Option C is incorrect because SSE-S3 encrypts model artifacts in S3, not the endpoint's ML storage volume; encryption at rest for the endpoint must be configured at the endpoint level.
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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