GoogleGoogle
PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #235
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #235: Real Exam Question with Answer & Explanation
Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #235. The question stem and answer options stay visible for context.
Submitted by mike_84· Apr 18, 2026ML pipeline operationalization
Question
You are building a MLOps platform to automate your company's ML experiments and model retraining. You need to organize the artifacts for dozens of pipelines. How should you store the pipelines' artifacts?
Options
- AStore parameters in Cloud SQL, and store the models' source code and binaries in GitHub.
- BStore parameters in Cloud SQL, store the models' source code in GitHub, and store the models'
- CStore parameters in Vertex ML Metadata, store the models' source code in GitHub, and store the
- DStore parameters in Vertex ML Metadata and store the models' source code and binaries in
Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to see the answer
You've previewed enough free PROFESSIONAL-MACHINE-LEARNING-ENGINEER questions. Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER 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.
Topics
#MLOps#Artifact Management#Vertex ML Metadata#Google Cloud Platform