Microsoft AI-900 Exam: A Comprehensive Guide to Success with ITEXAMSTEST Exam Dumps

The Microsoft Microsoft Certified: Azure AI Fundamentals certification is a globally recognized credential that validates the skills and knowledge required to install, configure, operate, and troubleshoot small to medium-sized enterprise networks. To earn this prestigious certification, candidates must pass the Microsoft AI-900 exam, which covers a wide range of networking topics, including network fundamentals, network access, IP connectivity, IP services, security fundamentals, and automation and programmability.

Preparing for the Microsoft AI-900 exam can be a daunting task, but with the right resources and study materials, candidates can increase their chances of success. One such resource is ITEXAMSTEST comprehensive collection of Microsoft AI-900 dumps, designed to help candidates prepare effectively and confidently for the exam.

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Microsoft AI-900 Sample Questions

Question # 1

What are three stages in a transformer model? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point. 

A. object detection  
B. embedding calculation  
C. tokenization  
D. next token prediction  
E. anonymization  



Question # 2

You need to create a customer support solution to help customers access information. The solution must support email, phone, and live chat channels. Which type of Al solution should you use?

A. natural language processing (NLP)  
B. computer vision  
C. machine learning  
D. chatbot  



Question # 3

You are building a chatbot that will use natural language processing (NLP) to perform thefollowing actions based on the text input of a user:• Accept customer orders.• Retrieve support documents.• Retrieve order status updates.Which type of NLP should you use?

A. sentiment analysis  
B. translation  
C. language modeling  
D. named entity recognition  



Question # 4

You need to build an app that will identify celebrities in images. Which service should you use?

A. Azure OpenAI Service  
B. Azure Machine Learning  
C. conversational language understanding (CLU)  
D. Azure Al Vision  



Question # 5

Which two scenarios are examples of a natural language processing workload? Eachcorrect answer presents a complete solution.NOTE; Each correct selection is worth one point.

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



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