Download Microsoft Azure AI Fundamentals.DrunkMonk.AI-900.2021-04-11.4e.45q.vcex


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Exam Microsoft Azure AI Fundamentals
Number AI-900
File Name Microsoft Azure AI Fundamentals.DrunkMonk.AI-900.2021-04-11.4e.45q.vcex
Size 2.09 Mb
Posted April 11, 2021
Downloads 93



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Demo Questions

Question 1
For a machine learning progress, how should you split data for training and evaluation?

  • A: Use features for training and labels for evaluation.
  • B: Randomly split the data into rows for training and rows for evaluation.
  • C: Use labels for training and features for evaluation.
  • D: Randomly split the data into columns for training and columns for evaluation.



Question 2
You are developing a model to predict events by using classification. 
You have a confusion matrix for the model scored on test data as shown in the following exhibit. 

    

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.  
NOTE: Each correct selection is worth one point. 




Question 3
You build a machine learning model by using the automated machine learning user interface (UI).  
You need to ensure that the model meets the Microsoft transparency principle for responsible AI. 
What should you do?

  • A: Set Validation type to Auto.
  • B: Enable Explain best model.
  • C: Set Primary metric to accuracy.
  • D: Set Max concurrent iterations to 0.



Question 4
For each of the following statements, select Yes if the statement is true. Otherwise, select No.  
NOTE: Each correct selection is worth one point.
 




Question 5
Match the types of AI workloads to the appropriate scenarios. 
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. 
NOTE: Each correct selection is worth one point. 




Question 6
You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments. 
This is an example of which Microsoft guiding principle for responsible AI?

  • A: Fairness
  • B: Inclusiveness
  • C: Reliability and safety
  • D: Accountability



Question 7
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions. 
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.  
NOTE: Each correct selection is worth one point.
 




Question 8
Which metric can you use to evaluate a classification model?

  • A: True positive rate
  • B: Mean absolute error (MAE)
  • C: Coefficient of determination (R2)
  • D: Root mean squared error (RMSE)



Question 9
Which two components can you drag onto a canvas in Azure Machine Learning designer?  
Each correct answer presents a complete solution. 
NOTE: Each correct selection is worth one point.

  • A: Dataset
  • B: Compute
  • C: Pipeline
  • D: Module



Question 10
You need to create a training dataset and validation dataset from an existing dataset. 
Which module in the Azure Machine Learning designer should you use?

  • A: Select Columns in Dataset
  • B: Add Rows
  • C: Split Data
  • D: Join Data








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