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Exam Professional Machine Learning Engineer All Questions

View all questions & answers for the Professional Machine Learning Engineer exam

Exam Professional Machine Learning Engineer topic 1 question 291 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 291
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You work for a hospital. You received approval to collect the necessary patient data, and you trained a Vertex AI tabular AutoML model that calculates patients' risk score for hospital admission. You deployed the model. However, you're concerned that patient demographics might change over time and alter the feature interactions and impact prediction accuracy. You want to be alerted if feature interactions change, and you want to understand the importance of the features for the predictions. You want your alerting approach to minimize cost. What should you do?

  • A. Create a feature drift monitoring job. Set the sampling rate to 1 and the monitoring frequency to weekly.
  • B. Create a feature drift monitoring job. Set the sampling rate to 0.1 and the monitoring frequency to weekly.
  • C. Create a feature attribution drift monitoring job. Set the sampling rate to 1 and the monitoring frequency to weekly.
  • D. Create a feature attribution drift monitoring job. Set the sampling rate to 0.1 and the monitoring frequency to weekly.
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Suggested Answer: B 🗳️

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JDpmle2024
4 weeks, 1 day ago
Selected Answer: B
This is feature drift (features are changing) and not feature attribution drift (features are having different effects on the prediction).
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