Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A.a telephone answering service that has a pre-recorder message
• B.a chatbot that provides users with the ability to find answers on a website by themselves
• C.telephone voice menus to reduce the load on human resources
• D.a service that creates frequently asked questions (FAQ) documents by crawling public websites

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

Correct Answer:

Explanation
Graphical user interface, text, application, email Description automatically generated

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What is a use case for classification?

• A.predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.
• B.analyzing the contents of images and grouping images that have similar colors
• C.predicting whether someone uses a bicycle to travel to work based on the distance from home to work
• D.predicting how many minutes it will take someone to run a race based on past race times

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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)

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

Correct Answer:

Explanation:
Box 1: Yes
Azure Machine Learning designer lets you visually connect datasets and modules on an interactive canvas to create machine learning models.
Box 2: Yes
With the designer you can connect the modules to create a pipeline draft.
As you edit a pipeline in the designer, your progress is saved as a pipeline draft.
Box 3: No
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer

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