The answer is that the IAM policy is missing the sagemaker:CreateEndpoint permission, not sagemaker:InvokeEndpoint. The AccessDenied error occurs because the IAM role used for the CreateEndpoint API call must explicitly grant the sagemaker:CreateEndpoint action; without it, SageMaker rejects the request regardless of other permissions. This is a classic trap on the AWS Certified Machine Learning Specialty MLS-C01 exam, where the service’s distinct actions for creation versus invocation are frequently confused. The exam tests your understanding that sagemaker:InvokeEndpoint only allows inference requests against an already-deployed endpoint, while sagemaker:CreateEndpoint governs the deployment step itself. A common memory tip is to think “Create to build, Invoke to use”—if you’re building the endpoint, you need the Create permission, not the Invoke permission.
MLS-C01 Modeling Practice Question
This MLS-C01 practice question tests your understanding of modeling. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 scientist is trying to create a SageMaker endpoint using an IAM role with the attached policy. The operation fails with 'AccessDenied'. What is the MOST likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The policy does not allow sagemaker:InvokeEndpoint.
The error 'AccessDenied' when creating a SageMaker endpoint indicates that the IAM role lacks the necessary permissions for the specific API call being made. Since the operation is to create an endpoint, the required action is sagemaker:CreateEndpoint, not sagemaker:InvokeEndpoint. Option A is incorrect because InvokeEndpoint is used to invoke a deployed endpoint for inference, not to create it. The most likely cause is that the policy does not include sagemaker:CreateEndpoint.
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.
✓
The policy does not allow sagemaker:InvokeEndpoint.
Why this is correct
InvokeEndpoint is required for the endpoint to be called, but it is not in the policy.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The policy does not allow access to the S3 bucket for model artifacts.
Why it's wrong here
The policy includes s3:GetObject and s3:PutObject for the bucket.
✗
The policy does not allow sagemaker:CreateEndpoint.
Why it's wrong here
The policy includes sagemaker:CreateEndpoint.
✗
The policy does not allow sagemaker:CreateModel.
Why it's wrong here
The policy includes sagemaker:CreateModel.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the permissions needed for creating an endpoint (sagemaker:CreateEndpoint) with those for invoking it (sagemaker:InvokeEndpoint), leading them to incorrectly select option A when the actual missing permission is for creation.
Detailed technical explanation
How to think about this question
When creating a SageMaker endpoint, the IAM role must have permissions for sagemaker:CreateEndpoint, sagemaker:CreateEndpointConfig, and often sagemaker:CreateModel if the model hasn't been created yet. The 'AccessDenied' error is returned by the AWS IAM service when the caller's policy does not include the action for the specific API call. In practice, the error message will indicate which action was denied, so checking the CloudTrail logs would reveal the exact missing permission. A common real-world scenario is when a policy grants broad permissions but omits the specific endpoint creation actions, leading to this error.
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.
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.
Modeling — This question tests Modeling — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The policy does not allow sagemaker:InvokeEndpoint. — The error 'AccessDenied' when creating a SageMaker endpoint indicates that the IAM role lacks the necessary permissions for the specific API call being made. Since the operation is to create an endpoint, the required action is sagemaker:CreateEndpoint, not sagemaker:InvokeEndpoint. Option A is incorrect because InvokeEndpoint is used to invoke a deployed endpoint for inference, not to create it. The most likely cause is that the policy does not include sagemaker:CreateEndpoint.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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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