PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #158
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #158: Real Exam Question with Answer & Explanation
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Question
Your data science team needs to rapidly experiment with various features, model architectures, and hyperparameters. They need to track the accuracy metrics for various experiments and use an API to query the metrics over time. What should they use to track and report their experiments while minimizing manual effort?
Options
- AUse Vertex Al Pipelines to execute the experiments. Query the results stored in MetadataStore
- BUse Vertex Al Training to execute the experiments. Write the accuracy metrics to BigQuery, and
- CUse Vertex Al Training to execute the experiments. Write the accuracy metrics to Cloud
- DUse Vertex Al Workbench user-managed notebooks to execute the experiments. Collect the
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