The answer is that the approval status was set on the model package group, not on the specific model version. This is the most likely cause because in SageMaker Model Registry, approval is a property of an individual model version within a group, not of the group itself; the CI/CD pipeline likely referenced the group ARN or a version lacking explicit approval, even though the team thought the model was approved. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this question tests your understanding of the SageMaker Model Registry approval status version vs group distinction, a common trap where candidates confuse group-level metadata with version-level permissions. The pipeline must use the exact model version ARN that carries the 'Approved' status to deploy successfully. Remember: approval lives on the version, not the group—think of it as a stamp on each specific draft, not the whole folder.
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. 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.
An ML team is using SageMaker Model Registry to manage model versions. After training a new model version, they register it with an 'Approved' status. The CI/CD pipeline automatically deploys the latest approved model to a staging endpoint. However, the pipeline fails with an error: 'Cannot deploy model because the model version is not approved.' The model version is clearly approved in the registry. 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 approval status was set on the model package group, not on the specific model version.
Option D is correct because in SageMaker Model Registry, approval is a property of a specific model version within a model package group, not of the model package group itself. The error indicates the pipeline is likely referencing the model package group ARN or a version that lacks explicit approval, even though the team believes the model is approved. The CI/CD pipeline must use the exact model version ARN that has the 'Approved' status to deploy successfully.
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 pipeline is using the model package ARN instead of the model version ARN.
Why it's wrong here
The model package ARN would point to the entire model group, not a specific version.
✗
The model version is approved but the pipeline uses a different version that is still pending.
Why it's wrong here
If the pipeline is correctly configured, it should use the latest approved version.
✗
The SageMaker endpoint configuration does not have the necessary IAM permissions to read the registry.
Why it's wrong here
IAM permissions would cause a different error, not a specific message about approval.
✓
The approval status was set on the model package group, not on the specific model version.
Why this is correct
Approval is per model version; if only the group is approved, individual versions may not inherit.
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse model package group approval with model version approval, assuming that approving the group automatically approves all versions, whereas AWS requires explicit approval on each version individually.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker Model Registry stores model versions as entries within a ModelPackageGroup, each with a unique ARN (e.g., arn:aws:sagemaker:region:account:model-package/group-name/version). The approval status is a metadata field on the ModelPackageVersion object, set via UpdateModelPackage with ApprovalStatus='Approved'. A common real-world pitfall is that teams approve the entire group (which is not a valid operation) or use the group ARN in deployment, causing the pipeline to fail because the group itself has no approval status. The correct deployment workflow involves listing approved versions within the group and deploying the specific version ARN.
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.
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: The approval status was set on the model package group, not on the specific model version. — Option D is correct because in SageMaker Model Registry, approval is a property of a specific model version within a model package group, not of the model package group itself. The error indicates the pipeline is likely referencing the model package group ARN or a version that lacks explicit approval, even though the team believes the model is approved. The CI/CD pipeline must use the exact model version ARN that has the 'Approved' status to deploy successfully.
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.
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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