AWSCertified Machine Learning Engineer - Associate
Domain 3Objective 3
Task 3.3: Use Automated Orchestration Tools to Set up Continuous Integration and Continuous Delivery (CI/CD) Pipelines MLA-C01 Practice Questions (Page 8)
Part of the Content Domain 3: Deployment and Orchestration of ML Workflows domain, which accounts for 22% of the MLA-C01 exam. AWS does not publish an official question count, but from its 130-minute exam (~50–85 total, ~11–19 in this domain), expect 4–6 from this objective — we provide 49 practice questions to prepare you well beyond it. (estimate)
49questions here
10free pages
22concepts
22%of the exam
Questions 36–40
- 36
A CodePipeline execution is failing at the deploy stage. What is the most likely cause?
Select an answer first - 37
In GitHub Flow, what is the primary branch that is always in a deployable state?
Select an answer first - 38
Which AWS service can be used to orchestrate a multi-step data ingestion workflow that includes data validation, transformation, and triggering an ML training job?
Select an answer first - 39
A CodeBuild build is failing because it cannot download dependencies from a private package repository. What is the most likely cause?
Select an answer first - 40
Which SageMaker Pipelines step type is used to register a trained model in the SageMaker Model Registry?
Select an answer first
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