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 9)
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 41–45
- 41
Which AWS service can be used to trigger an automated ML model deployment workflow when a new model version is registered in the SageMaker Model Registry?
Select an answer first - 42
What is the default maximum number of pipelines that can be created in an AWS account per region, before requesting a quota increase?
Select an answer first - 43
What is the main difference between continuous delivery and continuous deployment?
Select an answer first - 44
In AWS CodePipeline, what is the purpose of a source action?
Select an answer first - 45
Which AWS service is a fully managed source control service that hosts Git-based repositories?
Select an answer first
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