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Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-901
Exam Price:$99 USD
Real Exam Qty:30-40
Available Languages:French, Japanese, Korean, Russian, Indonesian (Indonesia), Chinese (Traditional), Portuguese (Brazil), English, Chinese (Simplified), Arabic (Saudi Arabia), Italian, German, Spanish
Certificate Validity Period:Lifetime
Passing Score:700
Exam Duration:60 minutes
Exam Format:Multiple choice, Case studies, Multiple select
Recommended Training:Microsoft Learn: Get started with Microsoft Foundry
Microsoft Learn: AI concepts for developers and technology professionals
Exam Registration:Microsoft Certification Exam Registration
Pearson VUE Scheduling
Sample Questions:Microsoft AI-901 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/

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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.

Microsoft Azure AI Fundamentals Sample Questions (Q80-Q85):

NEW QUESTION # 80
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:

Counting the number of animals in an area based on a video feed is an example of computer vision.
Computer vision is the AI workload used to analyze visual content such as images and video. Counting animals in a video feed requires detecting visual objects in video frames and analyzing them, which is a computer vision task.
Forecasting predicts future values or trends from historical data.
Knowledge mining extracts insights from large document or data collections.
Therefore, the correct answer is computer vision.


NEW QUESTION # 81
You need to build an AI solution that responds to user queries with detailed written explanations.
Which type of AI model should you use?

Answer: D


NEW QUESTION # 82
Match the principles of responsible Al to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the light. Each principle may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

Explanation:

AI systems must consistently operate as intended, even under unexpected conditions. = Reliability and safety This description matches the Microsoft responsible AI principle of reliability and safety, which focuses on ensuring that AI systems behave consistently, safely, and as expected, including under unusual or unexpected conditions.
AI systems must protect and secure personal and business information. = Privacy and security This description matches the Microsoft responsible AI principle of privacy and security, which focuses on protecting personal, confidential, and business-sensitive information and preventing unauthorized access or misuse.


NEW QUESTION # 83
You are explaining generative AI workflows to a colleague. What is the first step of a generative AI workflow?

Answer: A


NEW QUESTION # 84
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 # 85
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