Google Professional Machine Learning Engineer Question 435
Select 3Google Cloud PlatformYou are a machine learning engineer working on a project that involves frequent retraining of a model to improve its performance. To track and compare the performance of different model versions and artifacts, you decide to use Vertex AI Experiments. Which of the following actions can you perform with Vertex AI Experiments to achieve this goal?
- A
Log metrics and parameters for each training job to track model performance.
- B
Compare the performance of different model versions using visualizations in the Vertex AI Experiments dashboard.
- C
Automatically deploy the best-performing model version to Vertex AI Prediction endpoints without any manual intervention.
- D
Track the lineage of model artifacts, including datasets and preprocessing steps, for reproducibility.
- E
Directly monitor the real-time inference latency of deployed models.
Show answer and explanation
Correct answers: A, B, D
Explanation
Vertex AI Experiments is a powerful tool within the Google Cloud ecosystem that allows machine learning engineers to track, compare, and manage experiments effectively. It facilitates logging metrics, visual comparison of results, and tracking artifact lineage, which are essential for efficient model development and iteration. However, deployment and real-time monitoring are separate functionalities managed by other Vertex AI components like Vertex AI Prediction.
- A. Correct.
Correct. Vertex AI Experiments allows you to log metrics and parameters for each training job, enabling you to track and compare model performance across different runs.
- B. Correct.
Correct. Vertex AI Experiments provides visualization capabilities to compare metrics and results of different model versions.
- C. Incorrect.
Incorrect. Vertex AI Experiments does not automatically deploy models; deployment decisions and processes need to be managed separately.
- D. Correct.
Correct. Vertex AI Experiments can track the lineage of artifacts, including datasets and preprocessing steps, ensuring reproducibility and traceability.
- E. Incorrect.
Incorrect. Monitoring real-time inference latency is handled by Vertex AI Prediction and not Vertex AI Experiments.