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Microsoft AI-900 - Microsoft Azure AI Fundamentals

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Total 319 questions

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

You plan to apply Text Analytics API features to a technical support ticketing system.

Match the Text Analytics API features to the appropriate natural language processing scenarios.

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

NOTE: Each correct selection is worth one point.

You use natural language processing to process text from a Microsoft news story.

You receive the output shown in the following exhibit.

Which type of natural languages processing was performed?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

translation

You are developing a Chabot solution in Azure.

Which service should you use to determine a user’s intent?

A.

Translator

B.

Azure Cognitive Search

C.

Speech

D.

Language

You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.

Which two services should you include in the solution? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Language Service

B.

Azure Bot Service

C.

Form Recognizer

D.

Anomaly Detector

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

You have insurance claim reports that are stored as text.

You need to extract key terms from the reports to generate summaries.

Which type of Al workload should you use?

A.

conversational Al

B.

anomaly detection

C.

natural language processing

D.

computer vision

You need to build an app that will read recipe instructions aloud to support users who have reduced vision.

Which version service should you use?

A.

Text Analytics

B.

Translator Text

C.

Speech

D.

Language Understanding (LUIS)

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.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.