- A
The new model image is failing health checks
SageMaker waits for the new variant to pass health checks; failure can cause indefinite updating.
- B
The endpoint is already InService, so it cannot be updated
Why wrong: Endpoints can be updated while InService.
- C
The old model image is no longer available
Why wrong: The old image is still deployed and healthy.
- D
The instance count is too low to deploy both variants
Why wrong: The update uses the same instance count; blue/green deploys both.
Quick Answer
The answer is that the new model image is failing health checks, which causes the SageMaker endpoint update to hang in an 'Updating' state. In a blue/green deployment, SageMaker launches the new model instances behind the same endpoint and waits for them to pass initial health checks before routing traffic away from the old model. If the new image fails these checks—due to a misconfigured inference script, missing dependencies, or an incompatible framework—the update process stalls indefinitely because the deployment cannot complete the traffic shift. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this scenario tests your understanding of how SageMaker endpoint update blue green health check mechanics work, often trapping candidates who assume the endpoint has failed or that capacity is insufficient. A common memory tip: think of the health check as a bouncer—if the new model doesn't pass the door, the party (traffic shift) never starts.
MLS-C01 Modeling Practice Question
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. 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.
Refer to the exhibit. A data scientist wants to update the endpoint to use a new model image. The scientist updates the endpoint configuration with the new image and calls UpdateEndpoint. After the update, the endpoint status is 'Updating' but remains in that state for a long time. 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 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 new model image is failing health checks
Blue/green deployment requires the new model to be healthy before traffic is shifted. If the new model fails health checks, the update may hang. Option B is wrong because the endpoint is updating, not failed. Option C is wrong because the old model is still running. Option D is wrong because there is no indication of insufficient capacity.
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 new model image is failing health checks
Why this is correct
SageMaker waits for the new variant to pass health checks; failure can cause indefinite updating.
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 endpoint is already InService, so it cannot be updated
Why it's wrong here
Endpoints can be updated while InService.
- ✗
The old model image is no longer available
Why it's wrong here
The old image is still deployed and healthy.
- ✗
The instance count is too low to deploy both variants
Why it's wrong here
The update uses the same instance count; blue/green deploys both.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Modeling — This question tests Modeling — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The new model image is failing health checks — Blue/green deployment requires the new model to be healthy before traffic is shifted. If the new model fails health checks, the update may hang. Option B is wrong because the endpoint is updating, not failed. Option C is wrong because the old model is still running. Option D is wrong because there is no indication of insufficient capacity.
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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Last reviewed: Jun 20, 2026
This MLS-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 MLS-C01 exam.
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