- A
Configure the endpoint to be deployed within a VPC and control traffic using security groups and network ACLs.
Deploying inside a VPC allows network-level access control.
- B
Use a resource-based IAM policy on the endpoint to restrict invocation.
Why wrong: SageMaker endpoints do not support resource-based policies directly; you use IAM roles.
- C
Place an Amazon API Gateway in front of the endpoint with AWS WAF.
Why wrong: API Gateway is not a standard method; SageMaker endpoints can be invoked directly with IAM auth.
- D
Attach a security group directly to the SageMaker endpoint.
Why wrong: Security groups are associated with the network interfaces of the endpoint, not directly attached.
- E
Use an IAM policy that requires authentication for the sagemaker:InvokeEndpoint action.
IAM policies can restrict who can invoke the endpoint.
Quick Answer
The answer is to use an IAM policy that requires authentication for the sagemaker:InvokeEndpoint action and to deploy the endpoint within a VPC. These two methods work together to secure a SageMaker endpoint from unauthorized access by combining identity-based and network-based controls. The IAM policy explicitly denies or allows the InvokeEndpoint API call based on user or role credentials, ensuring only authenticated entities can send inference requests. Placing the endpoint inside a VPC restricts traffic at the network layer using security groups and network ACLs, preventing unauthorized IP addresses or external internet traffic from reaching the endpoint. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this question tests your understanding of defense-in-depth for SageMaker, where a common trap is to rely solely on encryption or API keys without considering network isolation. Remember the memory tip: “IAM for who, VPC for where”—identity controls who can call the endpoint, while VPC controls where the traffic can come from.
MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
This MLA-C01 practice question tests your understanding of deployment and orchestration of ml workflows. 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 data science team is deploying a model on Amazon SageMaker and wants to protect the endpoint from unauthorized access. Which TWO methods can the team use to secure the endpoint? (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
Configure the endpoint to be deployed within a VPC and control traffic using security groups and network ACLs.
Option A is correct because deploying a SageMaker endpoint within a VPC allows you to control inbound and outbound traffic using security groups and network ACLs, effectively restricting network-level access to the endpoint. This is a fundamental network security measure that prevents unauthorized network traffic from reaching the endpoint.
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.
- ✓
Configure the endpoint to be deployed within a VPC and control traffic using security groups and network ACLs.
Why this is correct
Deploying inside a VPC allows network-level access control.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a resource-based IAM policy on the endpoint to restrict invocation.
Why it's wrong here
SageMaker endpoints do not support resource-based policies directly; you use IAM roles.
- ✗
Place an Amazon API Gateway in front of the endpoint with AWS WAF.
Why it's wrong here
API Gateway is not a standard method; SageMaker endpoints can be invoked directly with IAM auth.
- ✗
Attach a security group directly to the SageMaker endpoint.
Why it's wrong here
Security groups are associated with the network interfaces of the endpoint, not directly attached.
- ✓
Use an IAM policy that requires authentication for the sagemaker:InvokeEndpoint action.
Why this is correct
IAM policies can restrict who can invoke 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 resource-based IAM policies (which are not supported for SageMaker endpoints) with identity-based policies, or they assume that attaching a security group directly to an endpoint is possible without deploying it in a VPC.
Detailed technical explanation
How to think about this question
When a SageMaker endpoint is deployed within a VPC, it uses an elastic network interface (ENI) in the VPC, and security groups attached to that ENI filter traffic at the instance level based on rules. Network ACLs provide stateless filtering at the subnet level, offering an additional layer of defense. This setup is critical for compliance scenarios where data must not traverse the public internet, such as in healthcare or finance.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Deployment and Orchestration of ML Workflows — study guide chapter
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
Deployment and Orchestration of ML Workflows — This question tests Deployment and Orchestration of ML Workflows — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure the endpoint to be deployed within a VPC and control traffic using security groups and network ACLs. — Option A is correct because deploying a SageMaker endpoint within a VPC allows you to control inbound and outbound traffic using security groups and network ACLs, effectively restricting network-level access to the endpoint. This is a fundamental network security measure that prevents unauthorized network traffic from reaching the endpoint.
What should I do if I get this MLA-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: Jun 24, 2026
This MLA-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 MLA-C01 exam.
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