Quiz 2026 Microsoft Marvelous AI-901: Microsoft Azure AI Fundamentals Real Brain Dumps

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Microsoft AI-901 Exam Syllabus Topics:

Section	Weight	Objectives
Describe features of generative AI workloads on Azure	10-15%	- Azure OpenAI and generative services 1. Azure OpenAI Service capabilities 2. Use cases: chatbots, content generation, summarization - Generative AI concepts 1. Prompt engineering basics 2. Large language models (LLMs) 3. Responsible use of generative AI
Describe Artificial Intelligence workloads and considerations	20-25%	- Identify features of common AI workloads 1. Natural language processing use cases 2. Computer vision use cases 3. Document processing and extraction 4. Conversational AI and chatbots - Responsible AI principles 1. Privacy and security 2. Fairness 3. Transparency and accountability 4. Inclusiveness 5. Reliability and safety
Describe fundamental principles of machine learning on Azure	25-30%	- Azure Machine Learning basics 1. Azure ML workspace components 2. AutoML concepts - Machine learning concepts 1. Training and evaluation concepts 2. Supervised vs unsupervised learning 3. Regression and classification
Describe features of computer vision workloads on Azure	15-20%	- Image analysis 1. Image classification 2. Optical character recognition (OCR) 3. Object detection - Azure AI Vision services 1. Azure AI Vision 2. Face detection and analysis (limited use cases)
Describe features of natural language processing (NLP) workloads on Azure	15-20%	- Text analysis 1. Key phrase extraction 2. Sentiment analysis 3. Language detection - Azure NLP services 1. Speech services (speech-to-text, text-to-speech) 2. Azure AI Language

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Microsoft Azure AI Fundamentals Sample Questions (Q91-Q96):

NEW QUESTION # 91
You are explaining generative AI workflows to a colleague. What is the first step of a generative AI workflow?

A. Generate outputs based on user prompts.
B. Train a generative AI model by using data.
C. Fine-tune a model by using feedback.
D. Deploy a generative AI model.

Answer: B

NEW QUESTION # 92
What is the maximum image size that can be processed by using the prebuilt receipt model in Azure AI Document Intelligence?

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

Answer: C

Explanation:
Document Intelligence receipt model
Supported file size: less than 50 MB; minimum pixels 50 x 50 px; maximum pixels 10,000 x
10,000 px
For custom extraction model training, the total size of training data is 50 MB for template model and 1 GB for the neural model.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/id-document

NEW QUESTION # 93
You are building an AI solution that processes customer information. Which task is an example of the Microsoft responsible AI principle of privacy and security?

A. Encrypt stored customer data and restrict system access by using role-based controls.
B. Evaluate model outputs across demographic groups to reduce bias.
C. Provide explanations about how the system generates predictions.
D. Test the system under unexpected conditions to prevent harmful failures.

Answer: A

Explanation:
Encrypting stored customer data and restricting system access using role-based controls are exact and correct examples of the Microsoft responsible AI principle of privacy and security.
Key Goals of Privacy and Security
Protect data: Keep user and customer data safe from unauthorized eyes.
Control access: Ensure only the right people use the system.
Build trust: Make users feel secure when they use AI tools.
Reference:
https://www.microsoft.com/en-us/ai/principles-and-approach

NEW QUESTION # 94
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 95
You have a Microsoft Foundry project that has a generative AI model deployment.
You need to ensure that responses generated by the model minimize costs and remain within a defined length.
Which parameter should you configure?

A. Model version settings
B. Top P
C. Temperature
D. Max Completion Tokens

Answer: D

NEW QUESTION # 96
......

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