Question 221 of 280
Single answerYou 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?
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’ binaries in Cloud Storage.
✓CStore parameters in Vertex ML Metadata, store the models’ source code in GitHub, and store the models’ binaries in Cloud Storage.
DStore parameters in Vertex ML Metadata and store the models’ source code and binaries in GitHub.
✓
Correct Answer: C
Store parameters in Vertex ML Metadata, store the models’ source code in GitHub, and store the models’ binaries in Cloud Storage.
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Explanation
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