Exam Professional Machine Learning Engineer topic 1 question 241 discussion - ExamTopics


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Question:

The question asks how to add a component to a Vertex AI pipeline to facilitate team collaboration and comparison of metrics during different pipeline executions, both visually and programmatically.

Options:

  • A: Log metrics to BigQuery, query the table, and visualize using Looker Studio.
  • B: Log metrics to BigQuery, load into a pandas DataFrame, and visualize with Matplotlib.
  • C: Log metrics to Vertex ML Metadata, use Vertex AI Experiments for comparison, and Vertex AI TensorBoard for visualization.
  • D: Log metrics to Vertex ML Metadata, load into a pandas DataFrame, and visualize with Matplotlib.

Correct Answer:

The suggested answer is C. This option leverages Vertex AI's built-in tools for logging, comparing, and visualizing metrics, providing a streamlined workflow within the Google Cloud ecosystem.

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You have created a Vertex AI pipeline that automates custom model training. You want to add a pipeline component that enables your team to most easily collaborate when running different executions and comparing metrics both visually and programmatically. What should you do?

  • A. Add a component to the Vertex AI pipeline that logs metrics to a BigQuery table. Query the table to compare different executions of the pipeline. Connect BigQuery to Looker Studio to visualize metrics.
  • B. Add a component to the Vertex AI pipeline that logs metrics to a BigQuery table. Load the table into a pandas DataFrame to compare different executions of the pipeline. Use Matplotlib to visualize metrics.
  • C. Add a component to the Vertex AI pipeline that logs metrics to Vertex ML Metadata. Use Vertex AI Experiments to compare different executions of the pipeline. Use Vertex AI TensorBoard to visualize metrics.
  • D. Add a component to the Vertex AI pipeline that logs metrics to Vertex ML Metadata. Load the Vertex ML Metadata into a pandas DataFrame to compare different executions of the pipeline. Use Matplotlib to visualize metrics.
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Suggested Answer: C πŸ—³οΈ

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