Free AI-900 Exam Braindumps
Microsoft Azure AI Fundamentals (Retired and replaced with AI-901) Questions 81–85 (page: 18)

When training a model, why should you split the data rows into separate subsets?

  1. to train the model twice to attain better accuracy
  2. to train multiple models simultaneously to attain better performance
  3. to test the model by using data that was not used to train the model

Answer(s): C



You need to predict the income range of a given customer by using the following dataset.



Which two fields should you use as features? Each correct answer presents a complete solution.

Note: Each correct selection is worth one point.

  1. Education Level
  2. Last Name
  3. Age
  4. Income Range
  5. First Name

Answer(s): A,C

Explanation:

First Name, Last Name, Age and Education Level are features. Income range is a label (what you want to predict). First Name and Last Name are irrelevant in that they have no bearing on income. Age and Education level are the features you should use.



HOTSPOT (Drag and Drop is not supported)

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:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset

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



HOTSPOT (Drag and Drop is not supported)

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:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




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/



HOTSPOT (Drag and Drop is not supported)

Select the answer that correctly completes the sentence.

Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




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 https://learn.microsoft.com/en-us/training/modules/create-regression-model-azure-machine-learning-designer/



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