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Microsoft AI-900 dumps

Microsoft AI-900 Exam Dumps

Microsoft Azure AI Fundamentals
824 Reviews

Exam Code AI-900
Exam Name Microsoft Azure AI Fundamentals
Questions 323 Questions Answers With Explanation
Update Date January 15,2026
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Microsoft AI-900 Sample Question Answers

Question # 1

You have an Azure subscription that uses Azure OpenAI. You need to create an original image of a rural scene to use on a website. What should you do? 

A. From Azure Al Foundry, deploy a GPT-3.5 Turbo model and provide instructions to create the image of the rural scene. 
B. From Microsoft Bing, search the term "rural scene" and download the results. 
C. From GitHub Copilot, provide instructions to create the image of the rural scene. 
D. From Azure Al Foundry, deploy a DALL-E model, and provide instructions to create the rural scene. 



Question # 2

Which Azure OpenAI model should you use to summarize the text from a document? 

A. Whisper 
B. DALL-E 
C. Codex 
D. GPT 



Question # 3

What should you implement to prevent hateful responses from being returned by a generative Al solution? 

A. abuse monitoring 
B. content filtering 
C. fine-tuning 
D. prompt engineering 



Question # 4

In which two scenarios can you use the Azure Al Document Intelligence service (formerly Form Recognizer)? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. 

A. Extract the invoice number from an invoice. 
B. Identify the retailer from a receipt. 
C. Find images of products in a catalog. 
D. Translate a form from French to English. 



Question # 5

What should you use to identify similar faces in a set of images?

 A. Azure Al Vision  
B. Azure Al Custom Vision 
C. Azure Al Language 
D. Azure OpenAI Service 



Question # 6

Which feature of the Azure Al Language service should you use to automate the masking of names and phone numbers in text data? 

A. Personally Identifiable Information (Pll) detection 
B. entity linking
C. custom text classification 
D. custom named entity recognition (NER) 



Question # 7

You ate building a Conversational 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. Export the model. 
B. Create a new model. 
C. Add utterances to the None intent. 
D. Create a prebuilt task entity. 



Question # 8

Which two actions can you perform by using the Azure OpenAI DALL-E model? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point. 

A. Create images. 
B. Use optical character recognition (OCR). 
C. Detect objects in images. 
D. Modify images. 
E. Generate captions for images. 



Question # 9

You need to convert handwritten notes into digital text. Which type of computer vision should you use? 

A. optical character recognition (OCR) 
B. object detection 
C. image classification 
D. facial detection 



Question # 10

What is a form of unsupervised machine learning? 

A. multiclass classification 
B. clustering 
C. binary classification 
D. regression 



Question # 11

Which Azure Machine Learning capability should you use to quickly build and deploy a predictive model without extensive coding? 

A. ML pipelines 
B. Copilot 
C. DALL-E 
D. automated machine learning (automated ML) 



Question # 12

What is an example of a Microsoft responsible Al principle?  

A. Al systems should treat people fairly. 
B. Al systems should NOT reveal the details of their design. 
C. Al systems should use black-box models. 
D. Al systems should protect the interests of developers. 



Question # 13

You deploy the Azure OpenAI service to generate images. You need to ensure that the service provides the highest level of protection against harmful content. What should you do? 

A. Configure the Content filters settings. 
B. Customize a large language model (LLM). 
C. Configure the system prompt 
D. Change the model used by the Azure OpenAI service. 



Question # 14

Capturing text from images is an example of which type of Al capability? 

A. text analysis
 B. optical character recognition (OCR) 
C. image description 
D. object detection 



Question # 15

What is the maximum image size that can be processed by using the prebuilt receipt model in Azure Al Document Intelligence? 

A. 5 MB 
B. 10MB 
C. 50 MB 
D. 100 MB 



Question # 16

You need to identify harmful content in a generative Al solution that uses Azure OpenAI Service. What should you use? 

A. Face 
B. Video Analysis 
C. Language 
D. Content Safety 



Question # 17

Which natural language processing feature can be used to identify the main talking points in customer feedback surveys? 

A. language detection 
B. translation 
C. entity recognition 
D. key phrase extraction 



Question # 18

What should you use to extract details from scanned images of contracts? 

A. Azure Al Document Intelligence 
B. Azure Al Immersive Reader 
C. Azure OpenAI 
D. Azure Al Search 



Question # 19

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. 



Question # 20

What should you do to ensure that an Azure OpenAI model generates accurate responses that include recent events? 

A. Modify the system message. 
B. Add grounding data. 
C. Add few-shot learning. 
D. Add training data. 



Question # 21

What should you implement to identify hateful responses returned by a generative Al solution? 

A. prompt engineering 
B. abuse monitoring 
C. content filtering 
D. fine-tuning 



Question # 22

Which term is used to describe uploading your own data to customize an Azure OpenAI model? 

A. completion 
B. grounding 
C. fine -tuning 
D. prompt engineering 



Question # 23

Providing contextual information to improve the responses quality of a generative Al solution is an example of which prompt engineering technique? 

A. providing examples 
B. fine-tuning 
C. grounding data 
D. system messages 



Question # 24

Which parameter should you configure to produce a more diverse range of tokens in the responses from a chat solution that uses the Azure OpenAI GPT-3.5 model? 

A. Max response 
B. Past messages included 
C. Presence penalty 
D. Stop sequence 



Question # 25

You need to predict the population size of a specific species of animal in an area. Which Azure Machine Learning type should you use? 

A. clustering 
B. regression 
C. classification 



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