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Free Microsoft AI-900 Practice Exam with Questions & Answers | Set: 10

Questions 91

You need to provide content for a business chatbot that will help answer simple user queries.

What are three ways to create question and answer text by using QnA Maker? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:
A.

Generate the questions and answers from an existing webpage.

B.

Use automated machine learning to train a model based on a file that contains the questions.

C.

Manually enter the questions and answers.

D.

Connect the bot to the Cortana channel and ask questions by using Cortana.

E.

Import chit-chat content from a predefined data source.

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Questions 92

Which metric can you use to evaluate a classification model?

Options:
A.

true positive rate

B.

mean absolute error (MAE)

C.

coefficient of determination (R2)

D.

root mean squared error (RMSE)

Questions 93

Match the types of machine learning to the appropriate scenarios.

To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

AI-900 Question 93

Options:
Questions 94

Select the answer that correctly completes the sentence.

AI-900 Question 94

Options:
Questions 95

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

AI-900 Question 95

Options:
Questions 96

You ate building a Conversational Language Understanding model for an e-commerce business.

You need to ensure that the model detects when utterances are outside the intended scope of the model.

What should you do?

Options:
A.

Export the model.

B.

Create a new model.

C.

Add utterances to the None intent.

D.

Create a prebuilt task entity.

Questions 97

You have the Predicted vs. True chart shown in the following exhibit.

AI-900 Question 97

Which type of model is the chart used to evaluate?

Options:
A.

classification

B.

regression

C.

clustering