- A
The model artifacts are stored in an S3 bucket that uses SSE-KMS, and the DevOps team does not have KMS decrypt permission.
Why wrong: KMS permissions are needed to download artifacts, but not to view the model in the registry.
- B
The model version is in a 'Pending' approval status and needs to be promoted by the ML team first.
Why wrong: Status affects ability to deploy, but DevOps can still see the model if they have permissions.
- C
The DevOps team does not have the required IAM permissions to view models in the Model Registry.
Access to Model Registry is controlled by IAM; the DevOps team likely lacks list/list-approvals permissions.
- D
The Model Registry is in a different AWS account, and the DevOps team does not have cross-account access.
Why wrong: No indication of multiple accounts; assume same account.
Quick Answer
The answer is that the DevOps team lacks the required IAM permissions to view models in the Model Registry. In Amazon SageMaker, the Model Registry uses IAM policies to control access to model packages, and without permissions like `sagemaker:DescribeModelPackage` or `sagemaker:ListModelPackages`, the models remain invisible in the console or API—even though they exist. This visibility issue is distinct from the approval workflow; the deployment failed because the model wasn’t approved, but the DevOps team couldn’t even see it to approve it. On the AWS Certified AI Practitioner AIF-C01 exam, this tests your understanding that IAM permissions gate both visibility and actions in SageMaker, and a common trap is confusing approval status with access control. Remember: if a user can’t see a model, it’s almost always an IAM permissions problem, not a workflow issue. Memory tip: “No see, no approve—check the policy first.”
AIF-C01 Practice Question: Security, Compliance and Governance for AI Solutions
This AIF-C01 practice question tests your understanding of security, compliance and governance for ai solutions. 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 company uses Amazon SageMaker Model Registry to manage model versions. The security team requires that only approved models can be deployed to production. The ML team creates a new model version and registers it in the Model Registry. When trying to deploy the model to a production endpoint, the deployment fails because the model is not approved. The ML team asks the DevOps team to approve the model. However, the DevOps team cannot see the model in the Model Registry. What is the MOST likely reason?
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 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
The DevOps team does not have the required IAM permissions to view models in the Model Registry.
Option C is correct because the most likely reason the DevOps team cannot see the model in the Model Registry is that they lack the required IAM permissions (e.g., `sagemaker:DescribeModelPackage` or `sagemaker:ListModelPackages`) to view models. Without these permissions, the model is invisible to them in the SageMaker console or API, even though it exists. The deployment failure due to approval status is a separate symptom; the core issue here is visibility, not approval workflow.
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 model artifacts are stored in an S3 bucket that uses SSE-KMS, and the DevOps team does not have KMS decrypt permission.
Why it's wrong here
KMS permissions are needed to download artifacts, but not to view the model in the registry.
- ✗
The model version is in a 'Pending' approval status and needs to be promoted by the ML team first.
Why it's wrong here
Status affects ability to deploy, but DevOps can still see the model if they have permissions.
- ✓
The DevOps team does not have the required IAM permissions to view models in the Model Registry.
Why this is correct
Access to Model Registry is controlled by IAM; the DevOps team likely lacks list/list-approvals permissions.
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 Model Registry is in a different AWS account, and the DevOps team does not have cross-account access.
Why it's wrong here
No indication of multiple accounts; assume same account.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the approval status (Pending) with visibility, assuming a model in 'Pending' status is hidden, when in fact the approval status only controls deployment, not the ability to see the model in the registry.
Detailed technical explanation
How to think about this question
Amazon SageMaker Model Registry uses IAM policies to control access to model packages and their versions. The `sagemaker:ListModelPackages` and `sagemaker:DescribeModelPackage` actions are required to view models in the registry. Without these permissions, the model is effectively invisible, even if the DevOps team has permissions to deploy endpoints. This is a common security pattern where visibility and action permissions are decoupled to enforce least privilege.
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.
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Security, Compliance and Governance for AI Solutions — study guide chapter
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
Security, Compliance and Governance for AI Solutions — This question tests Security, Compliance and Governance for AI Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The DevOps team does not have the required IAM permissions to view models in the Model Registry. — Option C is correct because the most likely reason the DevOps team cannot see the model in the Model Registry is that they lack the required IAM permissions (e.g., `sagemaker:DescribeModelPackage` or `sagemaker:ListModelPackages`) to view models. Without these permissions, the model is invisible to them in the SageMaker console or API, even though it exists. The deployment failure due to approval status is a separate symptom; the core issue here is visibility, not approval workflow.
What should I do if I get this AIF-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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Last reviewed: Jun 25, 2026
This AIF-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 AIF-C01 exam.
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