MLA-C01 · Question #82
MLA-C01 Question #82: Real Exam Question with Answer & Explanation
Sign in or unlock MLA-C01 to reveal the answer and full explanation for question #82. The question stem and answer options stay visible for context.
Question
A company is using Amazon SageMaker to create ML models. The company's data scientists need fine-grained control of the ML workflows that they orchestrate. The data scientists also need the ability to visualize SageMaker jobs and workflows as a directed acyclic graph (DAG). The data scientists must keep a running history of model discovery experiments and must establish model governance for auditing and compliance verifications. Which solution will meet these requirements?
Options
- AUse AWS CodePipeline and its integration with SageMaker Studio to manage the entire ML
- BUse AWS CodePipeline and its integration with SageMaker Experiments to manage the entire ML
- CUse SageMaker Pipelines and its integration with SageMaker Studio to manage the entire ML
- DUse SageMaker Pipelines and its integration with SageMaker Experiments to manage the entire
Unlock MLA-C01 to see the answer
You've previewed enough free MLA-C01 questions. Unlock MLA-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.