Microsoft Microsoft Certifications AI-900 Questions & Answers

• Question 51:

  HOTSPOT

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

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  Correct Answer:

  

• Question 52:

  HOTSPOT

  Select the answer that correctly completes the sentence.

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• Question 53:

  HOTSPOT

  Select the answer that correctly completes the sentence.

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• Question 54:

  HOTSPOT

  Select the answer that correctly completes the sentence.

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  Correct Answer:

  

• Question 55:

  HOTSPOT

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

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  Correct Answer:

  

• Question 56:

  HOTSPOT

  Select the answer that correctly completes the sentence.

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  Correct Answer:

  

  Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/intro-to-spatial-analysis-public-preview

• Question 57:

  HOTSPOT

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

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  Correct Answer:

  

• Question 58:

  HOTSPOT

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

  Hot Area:

  

  Correct Answer:

  

  Reference: https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/5-create-training-pipeline https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/introduction https://docs.microsoft.com/en-us/learn/modules/create-clustering-model-azure-machine-learning-designer/1-introduction

• Question 59:

  HOTSPOT

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

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  Correct Answer:

  

  Box 1: No

  The validation dataset is different from the test dataset that is held back from the training of the model.

  Box 2: Yes

  A validation dataset is a sample of data that is used to give an estimate of model skill while tuning model's hyperparameters.

  Box 3: No

  The Test Dataset, not the validation set, used for this. The Test Dataset is a sample of data used to provide an unbiased evaluation of a final model fit on the training dataset.

  Reference:

  https://machinelearningmastery.com/difference-test-validation-datasets/

• Question 60:

  HOTSPOT

  To complete the sentence, select the appropriate option in the answer area.

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  Correct Answer:

  

  Regression is a machine learning task that is used to predict the value of the label from a set of related features.

  Reference: https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks