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Select the answer that correctly completes the sentence.

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

Match the principles of responsible AI to appropriate requirements.

To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Which type of natural language processing (NLP) entity is used to identify a phone number?

A.

regular expression

B.

machine-learned

C.

list

D.

Pattern-any

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

You are developing a solution that uses the Text Analytics service.

You need to identify the main talking points in a collection of documents.

Which type of natural language processing should you use?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

language detection

Match the machine learning models to the appropriate deceptions.

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

NOTE: Each correct match is worth one point.

Which scenario is an example of a webchat bot?

A.

Determine whether reviews entered on a website for a concert are positive or negative, and then add athumbs up or thumbs down emoji to the reviews.

B.

Translate into English questions entered by customers at a kiosk so that the appropriate person can call the customers back.

C.

Accept questions through email, and then route the email messages to the correct person based on the content of the message.

D.

From a website interface, answer common questions about scheduled events and ticket purchases for a music festival.

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 Azure Al Language Service's question answering? Each correct answer presents a complete solution.

NOTE: Each correct and ask questions by selection is worth one point.

A.

Connect the bot to the Cortana channel using Cortana.

B.

Import chit-chat content from a predefined data source.

C.

Manually enter the questions and answers.

D.

Use Azure Machine Learning Automated ML to train a model based on a file that contains question and answer pairs.

E.

Generate the questions and answers from an existing webpage.

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