- A
Use AWS Lambda to check the model status during deployment
Why wrong: Lambda can check but doesn't enforce at the IAM level; a determined user could bypass.
- B
Set IAM policies with a condition on sagemaker:ModelVersionStatus
IAM condition keys allow restricting CreateEndpointConfig to only approved models.
- C
Use SageMaker Pipelines to deploy only approved models
Why wrong: Pipelines can include a ConditionStep, but IAM enforcement is more robust and prevents manual deployments.
- D
Configure SCPs to block deployment of unapproved models
Why wrong: SCPs are organizational policies, not granular to model status.
Question 468 of 1,000
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. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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 SageMaker Model Registry to manage model versions. They want to enforce that only models with an 'Approved' status can be deployed to production endpoints. How can they enforce this?
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
✓
Set IAM policies with a condition on sagemaker:ModelVersionStatus
SageMaker Model Registry supports approval workflows. By using IAM policies that conditionally allow deployment only when the model version status is 'Approved', the company can enforce governance.
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.
- ✗
Use AWS Lambda to check the model status during deployment
Why it's wrong here
Lambda can check but doesn't enforce at the IAM level; a determined user could bypass.
- ✓
Set IAM policies with a condition on sagemaker:ModelVersionStatus
Why this is correct
IAM condition keys allow restricting CreateEndpointConfig to only approved models.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use SageMaker Pipelines to deploy only approved models
Why it's wrong here
Pipelines can include a ConditionStep, but IAM enforcement is more robust and prevents manual deployments.
- ✗
Configure SCPs to block deployment of unapproved models
Why it's wrong here
SCPs are organizational policies, not granular to model status.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Deployment and Orchestration of ML Workflows — study guide chapter
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
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: Set IAM policies with a condition on sagemaker:ModelVersionStatus — SageMaker Model Registry supports approval workflows. By using IAM policies that conditionally allow deployment only when the model version status is 'Approved', the company can enforce governance.
What should I do if I get this MLA-C01 question wrong?
Identify which MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 2026
This MLA-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 MLA-C01 exam.
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