Microsoft AI-900 dumps

Microsoft AI-900 Exam Dumps

Microsoft Azure AI Fundamentals
679 Reviews

Exam Code AI-900
Exam Name Microsoft Azure AI Fundamentals
Questions 138 Questions Answers With Explanation
Update Date April 22,2024
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Microsoft AI-900 Sample Questions

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 need to develop a web-based AI solution for a customer support system. Users mustbe able to interact with a web app that will guide them to the best resource or answer.Which service should you use?

A. Custom Vision 
B. QnA Maker 
C. Translator Text 
D. Face 



Question # 4

You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do?

A. Provision an inference duster. 
B. Explain the model. 
C. Register the model. 
D. Register the training data. 



Question # 5

You are building a knowledge base by using QnA Maker. Which file format can you use topopulate the knowledge base?

A. PDF 
B. PPTX 
C. XML 
D. ZIP 



Question # 6

You use drones to identify where weeds grow between rows of crops to send an Instructionfor the removal of the weeds. This is an example of which type of computer vision?

A. scene segmentation 
B. optical character recognition (OCR) 
C. object detection 



Question # 7

You have a webchat bot that provides responses from a QnA Maker knowledge base.You need to ensure that the bot uses user feedback to improve the relevance of theresponses over time.What should you use?

A. key phrase extraction 
B. sentiment analysis 
C. business logic 
D. active learning 



Question # 8

You are developing a conversational AI solution that will communicate with users throughmultiple channels including email, Microsoft Teams, and webchat.Which service should you use?

A. Text Analytics 
B. Azure Bot Service 
C. Translator 
D. Form Recognizer 



Question # 9

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 # 10

You need to build an image tagging solution for social media that tags images of yourfriends automatically. Which Azure Cognitive Services service should you use?

A. Computer Vision 
B. Face 
C. Text Analytics 
D. Form Recognizer 



Question # 11

You use Azure Machine Learning designer to build a model pipeline. What should youcreate before you can run the pipeline?

A. a Jupyter notebook 
B. a registered model 
C. a compute resource 



Question # 12

You need to develop a chatbot for a website. The chatbot must answer users questionsbased on the information m the following documents• A product troubleshooting guide m a Microsoft Word document• A frequently asked questions (FAQ) list on a webpageWhich service should you use to process the documents?

A. Language Undemanding 
B. Text Analytics 
C. Azure Bot Service 
D. QnA Maker 



Question # 13

In which scenario should you use key phrase extraction?

A. translating a set of documents from English to German 
B. generating captions for a video based on the audio track 
C. identifying whether reviews of a restaurant are positive or negative 
D. identifying which documents provide information about the same topics 



Question # 14

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 



Question # 15

You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers.Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point. 

A. Text Analytics 
B. QnA Maker 
C. Azure Bot Service 
D. Translator Text 



Question # 16

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.

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. 



Question # 17

You have a frequently asked questions (FAQ) PDF file.You need to create a conversational support system based on the FAQ. Which service should you use?

A. QnA Maker
B. Text Analytics 
C. Computer Vision
D. Language Understanding (LUIS)



Question # 18

Which AI service should you use to create a bot from a frequently asked questions (FAQ) document?

A. QnA Maker  
B. Language Understanding (LUIS) 
C. Text Analytics
D. Speech 



Question # 19

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 smart device in the home that responds to questions such as “What will the weather be like today?”
B. a website that uses a knowledge base to interactively respond to users’ questions 
C. assembly line machinery that autonomously inserts headlamps into cars 
D. monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific Threshold 



Question # 20

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 a thumbs 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. 



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