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. A key principle to apply: sageMaker API Actions. 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.
The policy does not allow sagemaker:InvokeEndpoint.
Why wrong: sagemaker:InvokeEndpoint is not required during endpoint creation; it is used for inference after the endpoint is active. Thus, missing this permission is not the most likely cause of the AccessDenied error.
B
The policy does not allow access to the S3 bucket for model artifacts.
Why wrong: While access to the S3 bucket for model artifacts is needed to create the model, this would typically cause an error at model creation time, not at endpoint creation. If the model already exists, endpoint creation does not require S3 access. So this is not the most likely cause.
C
The policy does not allow sagemaker:CreateEndpoint.
Correct. The most likely cause is that the IAM policy does not include sagemaker:CreateEndpoint, which is necessary for the CreateEndpoint API call.
D
The policy does not allow sagemaker:CreateModel.
Why wrong: Missing sagemaker:CreateModel would cause an error earlier when creating the model, not during endpoint creation. If the model already exists, this permission is not needed for endpoint creation.
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:CreateEndpoint.
The error 'AccessDenied' when creating a SageMaker endpoint is most likely due to missing sagemaker:CreateEndpoint permission. To create an endpoint, the IAM role must have the sagemaker:CreateEndpoint action. While InvokeEndpoint is needed for invoking the endpoint after creation, it is not required during creation. S3 bucket access may be needed for model artifacts, but that would typically cause a different error or occur earlier in the process (when creating the model). Therefore, option C is the most likely cause.
Key principle: SageMaker API Actions
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 it's wrong here
sagemaker:InvokeEndpoint is not required during endpoint creation; it is used for inference after the endpoint is active. Thus, missing this permission is not the most likely cause of the AccessDenied error.
✗
The policy does not allow access to the S3 bucket for model artifacts.
Why it's wrong here
While access to the S3 bucket for model artifacts is needed to create the model, this would typically cause an error at model creation time, not at endpoint creation. If the model already exists, endpoint creation does not require S3 access. So this is not the most likely cause.
✓
The policy does not allow sagemaker:CreateEndpoint.
Why this is correct
Correct. The most likely cause is that the IAM policy does not include sagemaker:CreateEndpoint, which is necessary for the CreateEndpoint API call.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
SageMaker API Actions
✗
The policy does not allow sagemaker:CreateModel.
Why it's wrong here
Missing sagemaker:CreateModel would cause an error earlier when creating the model, not during endpoint creation. If the model already exists, this permission is not needed for endpoint creation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common trap is assuming that the error is due to missing sagemaker:InvokeEndpoint because of a confusion with the invocation step, but the actual cause is missing sagemaker:CreateEndpoint.
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
SageMaker API Actions
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
SageMaker API Actions
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.
Review sageMaker API Actions, then practise related MLS-C01 questions on the same topic to reinforce the concept.
Modeling — This question tests Modeling — SageMaker API Actions.
What is the correct answer to this question?
The correct answer is: The policy does not allow sagemaker:CreateEndpoint. — The error 'AccessDenied' when creating a SageMaker endpoint is most likely due to missing sagemaker:CreateEndpoint permission. To create an endpoint, the IAM role must have the sagemaker:CreateEndpoint action. While InvokeEndpoint is needed for invoking the endpoint after creation, it is not required during creation. S3 bucket access may be needed for model artifacts, but that would typically cause a different error or occur earlier in the process (when creating the model). Therefore, option C is the most likely cause.
What should I do if I get this MLS-C01 question wrong?
Review sageMaker API Actions, then practise related MLS-C01 questions on the same topic to reinforce the concept.
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?
SageMaker API Actions
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