- A
Use AWS CodePipeline to automate the training and deployment pipeline.
CodePipeline automates CI/CD.
- B
Use the SageMaker Model Registry to catalog model versions.
Model Registry manages model versions.
- C
Manually update the endpoint configuration each time.
Why wrong: Should be automated.
- D
Store all training datasets in a single S3 bucket without versioning.
Why wrong: Should use versioning or separate buckets.
- E
Deploy new model versions using canary deployments with SageMaker endpoints.
Canary deployments allow gradual rollout.
Question 279 of 1,755
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 is deploying a machine learning model using Amazon SageMaker. The model needs to be updated frequently. Which THREE practices should the company implement for model versioning and deployment?
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
✓
Use AWS CodePipeline to automate the training and deployment pipeline.
AWS CodePipeline is correct because it enables continuous integration and continuous delivery (CI/CD) for machine learning models, automating the build, train, test, and deploy stages. By integrating with SageMaker, CodePipeline can trigger retraining on new data, run evaluation steps, and automatically update the endpoint, ensuring frequent model updates are reliable and repeatable.
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 CodePipeline to automate the training and deployment pipeline.
Why this is correct
CodePipeline automates CI/CD.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Use the SageMaker Model Registry to catalog model versions.
Why this is correct
Model Registry manages model versions.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Manually update the endpoint configuration each time.
Why it's wrong here
Should be automated.
- ✗
Store all training datasets in a single S3 bucket without versioning.
Why it's wrong here
Should use versioning or separate buckets.
- ✓
Deploy new model versions using canary deployments with SageMaker endpoints.
Why this is correct
Canary deployments allow gradual rollout.
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 may think manual endpoint updates (Option C) are acceptable for small-scale deployments, but the exam emphasizes automation and reproducibility for frequent updates, making manual steps a clear anti-pattern.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker Model Registry stores model versions with associated metadata, metrics, and approval status, enabling governance and rollback. Canary deployments with SageMaker endpoints use production variants to shift traffic gradually (e.g., 5% to new model, 95% to old) and monitor performance before full rollout, minimizing risk. AWS CodePipeline can orchestrate this by invoking SageMaker Pipelines for training, registering the model, and updating the endpoint configuration with a canary strategy.
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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Machine Learning Implementation and Operations — study guide chapter
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
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: Use AWS CodePipeline to automate the training and deployment pipeline. — AWS CodePipeline is correct because it enables continuous integration and continuous delivery (CI/CD) for machine learning models, automating the build, train, test, and deploy stages. By integrating with SageMaker, CodePipeline can trigger retraining on new data, run evaluation steps, and automatically update the endpoint, ensuring frequent model updates are reliable and repeatable.
What should I do if I get this MLS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 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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