Google Professional Machine Learning Engineer
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Your company has migrated several ML models to Google Cloud and you are now developing models in Vertex AI. You need to implement a system to track model artifacts and model lineage. Your goal is to create a simple, effective solution that can also be reused for future models. What should you do?
A
Use a combination of Vertex AI Pipelines and the Vertex AI SDK to integrate metadata tracking into the ML workflow.
B
Use Vertex AI Pipelines for model artifacts and MLflow for model lineage.
C
Use Vertex AI Experiments for model artifacts and use Vertex ML Metadata for model lineage.
D
Implement a scheduled metadata tracking solution using Cloud Composer and Cloud Run functions.