Question 59 of 280
Single answerYour 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?
✓AUse Kubeflow Pipelines to execute the experiments. Export the metrics file, and query the results using the Kubeflow Pipelines API.
BUse AI Platform Training to execute the experiments. Write the accuracy metrics to BigQuery, and query the
results using the BigQuery API.
CUse AI Platform Training to execute the experiments. Write the accuracy metrics to Cloud Monitoring, and
query the results using the Monitoring API.
DUse AI Platform Notebooks to execute the experiments. Collect the results in a shared Google Sheets file,
and query the results using the Google Sheets API
✓
Correct Answer: A
Use Kubeflow Pipelines to execute the experiments. Export the metrics file, and query the results using the Kubeflow Pipelines API.
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Explanation
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