The answer is that deploying a new model to an endpoint is the permitted action. This is correct because the IAM policy explicitly grants the `sagemaker:CreateEndpoint` action, which is the specific permission required to spin up a new endpoint for model deployment. While the policy also allows `sagemaker:CreateModel` and `sagemaker:CreateEndpointConfig`, the critical distinction is that creating the endpoint itself is the final, necessary step for deployment, and it is the only creation action among the choices. On the CompTIA AI+ AI0-001 exam, this tests your ability to parse IAM policies for SageMaker, often with distractors like `UpdateEndpoint` or `InvokeEndpoint` that imply modifying or using an existing endpoint rather than deploying a new one. A common trap is confusing the supporting actions (creating the model or config) with the actual deployment action. For a memory tip, remember that to deploy a new model, you must “Create” the endpoint—think of it as “New model, new endpoint, new Create.”
AI0-001 AI Implementation and Operations Practice Question
This AI0-001 practice question tests your understanding of ai 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.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Deploy a new model to an endpoint.
The exhibit shows an IAM policy that grants the `sagemaker:CreateModel` and `sagemaker:CreateEndpointConfig` actions, but the key action is `sagemaker:CreateEndpoint`. Deploying a new model to an endpoint requires creating a new endpoint, which is explicitly allowed by this policy. The policy does not include `sagemaker:UpdateEndpoint`, `sagemaker:DeleteEndpoint`, or `sagemaker:InvokeEndpoint`, so only creating a new endpoint is permitted.
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.
✓
Deploy a new model to an endpoint.
Why this is correct
The allowed actions are necessary and sufficient to deploy a new model.
Related concept
Read the scenario before looking for a memorised answer.
✗
Update an existing endpoint.
Why it's wrong here
Updating an endpoint typically requires sagemaker:UpdateEndpoint, which is not allowed.
✗
Delete an endpoint.
Why it's wrong here
The policy does not include sagemaker:DeleteEndpoint.
✗
Invoke an endpoint for inference.
Why it's wrong here
Invoking an endpoint requires sagemaker:InvokeEndpoint, which is not included.
Common exam traps
Common exam trap: answer the scenario, not the keyword
CompTIA often tests the distinction between creating a new resource versus modifying or deleting an existing one, leading candidates to assume that broad permissions like `CreateEndpoint` also cover updates or invocations, which is incorrect in IAM policy evaluation.
Detailed technical explanation
How to think about this question
In AWS SageMaker, deploying a model involves three distinct steps: creating a model (`sagemaker:CreateModel`), creating an endpoint configuration (`sagemaker:CreateEndpointConfig`), and creating the endpoint itself (`sagemaker:CreateEndpoint`). The policy in the exhibit grants all three, enabling a full deployment workflow. Note that updating an endpoint (e.g., changing instance type or model variant) uses a separate API call (`UpdateEndpoint`) that must be explicitly allowed, as it modifies an existing resource rather than creating a new one.
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 security administrator must allow nursing staff to reach a patient records server while blocking access from the guest Wi-Fi VLAN. After applying an extended ACL, traffic is still blocked from nursing workstations. The ACL was applied outbound instead of inbound on the wrong interface. Questions like this test ACL direction and placement rules.
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.
AI Implementation and Operations — This question tests AI Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Deploy a new model to an endpoint. — The exhibit shows an IAM policy that grants the `sagemaker:CreateModel` and `sagemaker:CreateEndpointConfig` actions, but the key action is `sagemaker:CreateEndpoint`. Deploying a new model to an endpoint requires creating a new endpoint, which is explicitly allowed by this policy. The policy does not include `sagemaker:UpdateEndpoint`, `sagemaker:DeleteEndpoint`, or `sagemaker:InvokeEndpoint`, so only creating a new endpoint is permitted.
What should I do if I get this AI0-001 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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Question Discussion
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