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Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-900
Related Certifications:Microsoft Certified: Azure AI Fundamentals
Certificate Validity Period:1 year (renewable via free online assessment on Microsoft Learn)
Exam Duration:45-60
Exam Format:Drag and drop, Multiple select, Scenario-based, Multiple choice, Match the service to use case
Passing Score:700 / 1000
Available Languages:Spanish, German, Portuguese (Brazil), English, French, Arabic (Saudi Arabia), Japanese, Italian, Chinese (Traditional), Indonesian (Indonesia), Korean, Russian, Chinese (Simplified)
Real Exam Qty:40-60
Exam Price:USD 99
Sample Questions:Microsoft AI-901 Sample Questions
Exam Way:Online (remote proctored via Pearson VUE) or at a Pearson VUE test center
Pre Condition:No prerequisites. This exam is intended for both technical and non-technical backgrounds. Data science and software engineering experience are not required. Awareness of basic cloud concepts and client-server applications is beneficial.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900

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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.
Topic 2
  • Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.

Microsoft Azure AI Fundamentals Sample Questions (Q71-Q76):

NEW QUESTION # 71
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 72
You need to build an AI solution that produces new product images based on written descriptions provided by users. Which AI workload should you use?

Answer: A

Explanation:
An AI workload that creates entirely new visual content based on written natural language descriptions is defined as image generation, which is a core capability of Generative AI. In the Microsoft Azure ecosystem, this task is primarily handled by generative models like DALL-E or GPT-image via Azure OpenAI Service and Azure AI Foundry.
Reference:
https://learn.microsoft.com/en-us/azure/architecture/data-guide/ai-services/image-video-processing


NEW QUESTION # 73
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 74
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?

Answer: B


NEW QUESTION # 75
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:

The completed sentence is:
An AI workload that produces new content based on user input is an example of generative AI .
Generative AI is used to create new content, such as text, images, code, audio, or other outputs, from user prompts or instructions.
The other options are incorrect:
content understanding extracts or interprets information from existing content.
information extraction identifies and extracts structured data from content.
text analysis analyzes existing text for entities, sentiment, key phrases, language, or summaries.


NEW QUESTION # 76
......

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