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Microsoft AI-900 Exam Dumps
Microsoft Azure AI Fundamentals
Total Questions : 333
Update Date : July 06, 2026
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Microsoft AI-900 Sample Question Answers
Question # 1You 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
Question # 26
What should you do to reduce the number of false positives produced by a machine learning classification model?
A. Include test data in the training data.
B. Increase the number of training iterations.
C. Modify the threshold value in favor of false positives.
D. Modify the threshold value in favor of false negatives.
Question # 27
What is an example of a regression model in machine learning?
A. dividing the student data in a dataset based on the age of the students and their educational achievements
B. identifying subtypes of spam email by examining a large collection of emails that were flagged by users
C. predicting the sale price of a house based on historical data, the size of the house, and the number of bedrooms in the house
D. identifying population counts of endangered animals by analyzing images
Question # 28
Which Azure Al Document Intelligence prebuilt model should you use to extract parties and jurisdictions from a legal document?
A. contract
B. layout
C. general document
D. read
Question # 29
You are building an Al-based loan approval app. You need to ensure that the app documents why a loan is approved or rejected and makes the report available to the applicant. This is an example of which Microsoft responsible Al principle?
A. fairness
B. inclusiveness
C. transparency
D. accountability
Question # 30
Which format should you use to send requests to a REST API endpoint for Azure OpenAI?
A. CSV
B. ISON
C. XML
D. YAML
Question # 31
Which OpenAI model does GitHub Copilot use to make suggestions for client-side JavaScript?
A. GPT-4
B. Codex
C. DALL-E
D. GPT-3
Question # 32
You need to identify groups of rows with similar numeric values in a dataset. Which type of machine learning should you use?
A. clustering
B. regression
C. classification
Question # 33
What is an example of a Microsoft responsible Al principle?
A. Al systems should protect the interests of developers.
B. Al systems should be in the public domain.
C. Al systems should be secure and respect privacy.
D. Al systems should make personal details accessible.
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