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Microsoft AI-900 Exam Dumps

Microsoft AI-900 Exam Dumps

Microsoft Azure AI Fundamentals

Total Questions : 276
Update Date : November 08, 2024
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Question # 1

You have an Azure Machine Learning pipeline that contains a Split Data module. The Split Data module outputs to a Train Model module and a Score Model module. What is the function of the Split Data module?

A. selecting columns that must be included in the model 
B. creating training and validation datasets 
C. diverting records that have missing data 
D. scaling numeric variables so that they are within a consistent numeric range 



Question # 2

You have an Al solution that provides users with the ability to control smart devices by using verbal commands. Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A. text-to-speech 
B. translation 
C. language modeling 
D. key phrase extraction 
E. speech-to-text 



Question # 3

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 



Question # 4

You are building a 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?

A. Test the model by using new utterances 
B. Add utterances to the None intent 
C. Create a prebuilt task entity 
D. Create a new model 



Question # 5

In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

A. an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad 
B. generating live captions for a news broadcast 
C. extracting key phrases from the audio recording of a meeting 
D. an Al character in a computer game that speaks audibly to a player 




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