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NEW QUESTION 44
You are performing a classification task in Azure Machine learning Studio.
You must prepare balanced testing and training samples based on a provided data set.
Warning samples based on a provided data set.
You need to split the data with a 0.75:0.25.
Which value should you use for each parameter? To answer, select the appropriate options m the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

 

NEW QUESTION 45
You create a multi-class image classification deep learning model.
The model must be retrained monthly with the new image data fetched from a public web portal. You create an Azure Machine Learning pipeline to fetch new data, standardize the size of images, and retrain the model.
You need to use the Azure Machine Learning SDK to configure the schedule for the pipeline.
Which four actions should you perform in sequence. To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

 

NEW QUESTION 46
You need to select an environment that will meet the business and data requirements.
Which environment should you use?

  • A. Azure Machine Learning Studio
  • B. Azure HDInsight with Spark MLlib
  • C. Microsoft Machine Learning Server
  • D. Azure Cognitive Services

Answer: C

 

NEW QUESTION 47
You need to implement a new cost factor scenario for the ad response models as illustrated in the performance curve exhibit.
Which technique should you use?

  • A. Set the threshold to 0.75 and retrain if weighted Kappa deviates +/- 5% from 0.15.
  • B. Set the threshold to 0.2 and retrain if weighted Kappa deviates +/- 5% from 0.6.
  • C. Set the threshold to 0.05 and retrain if weighted Kappa deviates +/- 5% from 0.5.
  • D. Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 0.45.

Answer: D

Explanation:
Scenario:
Performance curves of current and proposed cost factor scenarios are shown in the following diagram:

The ad propensity model uses a cut threshold is 0.45 and retrains occur if weighted Kappa deviated from 0.1 +/- 5%.

 

NEW QUESTION 48
……

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