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Microsoft AI-901 Exam Overview:
| Certification Vendor: | Microsoft |
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| Exam Name: | Microsoft Azure AI Fundamentals |
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| Exam Number: | AI-901 |
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| Exam Price: | $99 USD |
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| Real Exam Qty: | 30-40 |
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| Available Languages: | French, Japanese, Korean, Russian, Indonesian (Indonesia), Chinese (Traditional), Portuguese (Brazil), English, Chinese (Simplified), Arabic (Saudi Arabia), Italian, German, Spanish |
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| Certificate Validity Period: | Lifetime |
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| Passing Score: | 700 |
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| Exam Duration: | 60 minutes |
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| Exam Format: | Multiple choice, Case studies, Multiple select |
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| Recommended Training: | Microsoft Learn: Get started with Microsoft Foundry Microsoft Learn: AI concepts for developers and technology professionals |
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| Exam Registration: | Microsoft Certification Exam Registration Pearson VUE Scheduling |
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| Sample Questions: | Microsoft AI-901 Sample Questions |
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| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
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| Pre Condition: | No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended |
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| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/ |
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| Topic | Details |
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| 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.
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| 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.
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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?
- A. an image generation model
- B. a speech recognition model
- C. an embedding model
- D. a text generation model
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?
- A. Train a generative AI model by using data.
- B. Deploy a generative AI model.
- C. Generate outputs based on user prompts.
- D. Fine-tune a model by using feedback.
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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