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 1)
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 1–5
- 1
Which AWS service can be used to trigger an ML workflow in response to an event, such as a new file being uploaded to an S3 bucket?
Select an answer first - 2
In the context of ML workflows, what is the primary purpose of continuous integration (CI)?
Select an answer first - 3
Which AWS service is specifically designed to create and manage ML pipelines that automate the steps of data processing, training, evaluation, and model registration?
Select an answer first - 4
Which of the following can be a target of an Amazon EventBridge rule to trigger a SageMaker training job?
Select an answer first - 5
Which deployment strategy in AWS CodeDeploy shifts traffic from the original deployment group to the replacement deployment group in a single step?
Select an answer first
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