
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 7)
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 31–35
- 31
A team wants to automatically retrain a model every time a new dataset is uploaded to an S3 bucket. They have set up an EventBridge rule that triggers a SageMaker training job when an S3 object is created. The training job starts, but the team notices that the training job sometimes fails because the dataset is still being uploaded when the job starts. What should the team do to ensure the training job only starts after the upload is complete?
Select an answer first - 32
What is the default maximum number of concurrent builds that can run in a single AWS CodeBuild project?
Select an answer first - 33
In the Gitflow branching model, which branch is used for ongoing development and integration of features?
Select an answer first - 34
A CodeDeploy deployment is failing because a lifecycle event hook script is returning a non-zero exit code. What is the most likely cause?
Select an answer first - 35
A CodeDeploy deployment to an EC2 instance fails during the BeforeInstall lifecycle event with the error 'Script at /scripts/install.sh does not exist.' The team confirms the script is present in the application revision. What is the most likely cause of this failure?
Select an answer first
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