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Exam DP-100 topic 2 question 108 discussion

Actual exam question from Microsoft's DP-100
Question #: 108
Topic #: 2
[All DP-100 Questions]

You plan to use automated machine learning by using Azure Machine Learning Python SDK v2 to train a regression model. You have data that has features with missing values, and categorical features with few distinct values.

You need to control whether automated machine learning automatically imputes missing values and encode categorical features as part of the training task.

Which enum of the automl package should you use?

  • A. ForecastHorizonMode
  • B. RegressionModels
  • C. FeaturizationMode
  • D. RegressionPrimaryMetrics
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Suggested Answer: C 🗳️

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f82411e
2 months, 3 weeks ago
Selected Answer: C
A. ForecastHorizonMode: relacionado con series temporales, no aplicable aquí. B. RegressionModels: especifica qué modelos usar, pero no controla la featurization. D. RegressionPrimaryMetrics: define la métrica de evaluación, no el preprocesamiento.
upvoted 1 times
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Lion007
1 year, 1 month ago
Selected Answer: C
Correct: C. FeaturizationMode Constructor: FeaturizationMode(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None) Fields: AUTO, CUSTOM, OFF See https://learn.microsoft.com/en-us/python/api/azure-ai-ml/azure.ai.ml.automl.featurizationmode?view=azure-python
upvoted 2 times
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Mikku123
1 year, 6 months ago
correct!
upvoted 3 times
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