PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #316
Your company recently migrated several of is ML models to Google Cloud. You have started developing models in Vertex AI. You need to implement a system that tracks model artifacts and model lineage. Y
The correct answer is A. Use a combination of Vertex AI Pipelines and the Vertex AI SDK to integrate metadata tracking. Using Vertex AI Pipelines with the Vertex AI SDK enables automatic tracking of model artifacts and lineage as part of the ML workflow. This approach integrates directly with the Vertex AI ecosystem, making it easy to reuse across different models and projects without introducing
Question
Options
- AUse a combination of Vertex AI Pipelines and the Vertex AI SDK to integrate metadata tracking
- BUse Vertex AI Pipelines for model artifacts and MLflow for model lineage.
- CUse Vertex AI Experiments for model artifacts and use Vertex ML Metadata for model lineage.
- DImplement a scheduled metadata tracking solution using Cloud Composer and Cloud Run
How the community answered
(29 responses)- A83% (24)
- B7% (2)
- C7% (2)
- D3% (1)
Explanation
Using Vertex AI Pipelines with the Vertex AI SDK enables automatic tracking of model artifacts and lineage as part of the ML workflow. This approach integrates directly with the Vertex AI ecosystem, making it easy to reuse across different models and projects without introducing unnecessary complexity.
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