AWSCertified Machine Learning Engineer - Associate
Domain 3Objective 2
Task 3.2: Create and Script Infrastructure Based on Existing Architecture and Requirements 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 33 practice questions to prepare you well beyond it. (estimate)
33questions here
7free pages
11concepts
22%of the exam
Questions 1–5
- 1
Which metric is most appropriate for scaling a SageMaker AI endpoint that is sensitive to response time?
Select an answer first - 2
Which metric is commonly used to scale a SageMaker AI endpoint based on the number of requests each instance receives?
Select an answer first - 3
What does BYOC (Bring Your Own Container) mean in the context of SageMaker AI?
Select an answer first - 4
When configuring a SageMaker AI endpoint within a VPC, which networking component is required for the endpoint to be invoked from within the VPC?
Select an answer first - 5
Which AWS service is best suited for running short, event-driven ML inference code without managing servers?
Select an answer first
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