Microsoft AI-900 – Microsoft Azure AI Fundamentals Free Dumps

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Question 41
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HOTSPOT –
You have the following dataset.

Microsoft_AI-900_41_Certget

You plan to use the dataset to train a model that will predict the house price categories of houses.
What are Household Income and House Price Category? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
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Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/interpret-model-results

 

 

 

 

Question 42
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HOTSPOT –
To complete the sentence, select the appropriate option in the answer area.
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Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer

 

 

 

Question 43
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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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Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-python https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml

 

 

 

 

Question 44
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A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.
You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.
This is an example of which type of machine learning?

  • A. clustering
  • B. regression
  • C. classification

 

 

 

 

Question 45
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When training a model, why should you randomly split the rows into separate subsets?

  • A. to train the model twice to attain better accuracy
  • B. to train multiple models simultaneously to attain better performance
  • C. to test the model by using data that was not used to train the model

 

 

 

Question 46
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You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning.
What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

  • A. Use a graphical user interface (GUI) to run automated machine learning experiments.
  • B. Create a compute instance to use as a workstation.
  • C. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
  • D. Create a dataset from a comma-separated value (CSV) file.

 

 

 

Question 47
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You need to predict the income range of a given customer by using the following dataset.

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Which two fields should you use as features? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

  • A. Education Level
  • B. Last Name
  • C. Age
  • D. Income Range
  • E. First Name

 

 

 

Question 48
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You are building a tool that will process images from retail stores and identify the products of competitors.
The solution will use a custom model.
Which Azure Cognitive Services service should you use?

  • A. Custom Vision
  • B. Form Recognizer
  • C. Face
  • D. Computer Vision

 

 

 

Question 49
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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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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

 

 

 

 

Question 50
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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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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/

 

 

 

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