The answer is that the model package version does not exist in the registry. This is the most likely cause because the error message explicitly states that the model package ARN is missing or invalid, which directly indicates that SageMaker cannot find a corresponding version entry in the Model Registry. When you attempt to deploy a model using a specific ARN, SageMaker first validates that the ARN points to an existing, approved model package version; if that version was never created, was deleted, or the ARN is mistyped, the deployment fails with this exact error. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your ability to interpret SageMaker deployment error messages and distinguish between missing resources versus permission or configuration issues—a common trap is confusing this with a missing IAM role or an unapproved model status, which would produce different errors. Remember the memory tip: “ARN exists or it doesn’t—if it’s missing, the deploy just isn’t.”
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. 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.
Exhibit
Refer to the exhibit.
[ERROR] 2023-01-15 10:23:45,123 - sagemaker - Could not find model package with arn:aws:sagemaker:us-east-1:123456789012:model-package/my-model/1
An engineer sees the error in the exhibit when trying to deploy a model from a model registry in SageMaker. 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.
Refer to the exhibit.
[ERROR] 2023-01-15 10:23:45,123 - sagemaker - Could not find model package with arn:aws:sagemaker:us-east-1:123456789012:model-package/my-model/1
A
The IAM role lacks permission to access the model registry
Why wrong: That would be an access denied error, not 'Could not find'.
B
The model package version does not exist in the registry
The ARN includes a version number; the error says 'Could not find'.
C
The model package is still in 'Approved' status
Why wrong: Approved status is fine for deployment.
D
The SageMaker endpoint is already deployed with the same model
Why wrong: Deploying the same model again is allowed.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The model package version does not exist in the registry
Option A is correct because the error indicates the model package ARN does not exist. Option B would show a different error. Option C is not indicated. Option D would show a different error.
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 IAM role lacks permission to access the model registry
Why it's wrong here
That would be an access denied error, not 'Could not find'.
✓
The model package version does not exist in the registry
Why this is correct
The ARN includes a version number; the error says 'Could not find'.
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 package is still in 'Approved' status
Why it's wrong here
Approved status is fine for deployment.
✗
The SageMaker endpoint is already deployed with the same model
Why it's wrong here
Deploying the same model again is allowed.
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 MLS-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.
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The model package version does not exist in the registry — Option A is correct because the error indicates the model package ARN does not exist. Option B would show a different error. Option C is not indicated. Option D would show a different error.
What should I do if I get this MLS-C01 question wrong?
Identify which MLS-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.
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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