
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 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 33 practice questions to prepare you well beyond it. (estimate)
33questions here
7free pages
11concepts
22%of the exam
Questions 31–33
- 31
A startup runs nightly batch training jobs that last about 4 hours. The jobs are fault-tolerant and can be interrupted. To minimize cost, which compute option should they use?
Select an answer first - 32
A healthcare company must deploy a SageMaker AI endpoint that only accepts traffic from within its VPC. The endpoint should not be publicly accessible. Which configuration should they use?
Select an answer first - 33
Which characteristic is a key difference between on-demand and provisioned (reserved) compute resources?
Select an answer first
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