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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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| Passing Score: | 700 |
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| Available Languages: | Arabic (Saudi Arabia), Russian, French, Chinese (Simplified), Korean, English, Spanish, Japanese, German, Chinese (Traditional), Indonesian (Indonesia), Italian, Portuguese (Brazil) |
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| Real Exam Qty: | 30-40 |
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| Exam Duration: | 60 minutes |
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| Certificate Validity Period: | Lifetime |
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| Exam Format: | Case studies, Multiple select, Multiple choice |
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| Exam Price: | $99 USD |
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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: | Pearson VUE Scheduling Microsoft Certification Exam Registration |
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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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>> Latest AI-901 Study Notes <<
Microsoft AI-901 Reliable Test Questions, AI-901 Sample Questions
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| Topic | Details |
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| 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.
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| 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.
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Microsoft Azure AI Fundamentals Sample Questions (Q17-Q22):
NEW QUESTION # 17
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:
Explanation:

NEW QUESTION # 18
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 # 19
You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:
- Accept customer orders.
- Retrieve support documents.
- Retrieve order status updates.
Which type of NLP should you use?
- A. language understanding
- B. named entity recognition
- C. translation
- D. sentiment analysis
Answer: A
Explanation:
The correct choice is language understanding (also termed language modeling).
Language understanding allows a system to determine a user's intent from their natural language input. In this scenario, the chatbot needs to look at a text string and map it to one of three specific operational categories (intents):
Accepting a customer order
Retrieving support documentation
Checking an order status update
NEW QUESTION # 20
Your company provides users with clear information about an Al system ' s purpose, functionality, and limitations. Which Microsoft responsible Al principle is this an example of?
- A. accountability
- B. fairness
- C. reliability and safety
- D. transparency
Answer: D
Explanation:
Providing users with clear information about an AI system's purpose, functionality, and limitations is an example of the Microsoft responsible AI principle of transparency . Transparency means users should be able to understand when and how AI is being used, what the system can do, and what its limitations are.
NEW QUESTION # 21
You need to identify harmful content in a generative AI solution that uses Azure OpenAI Service.
What should you use?
- A. Language
- B. Content Safety
- C. Face
- D. Video Analysis
Answer: B
Explanation:
Azure AI Content Safety is a new Azure AI Service that can detect harmful user-generated and AI-generated content. This service is being integrated across MS products, including Azure OpenAI Service and Machine Learning prompt flow.
Reference:
https://ivanatilca.medium.com/testing-azure-ai-content-safety-ccd512f9b350
NEW QUESTION # 22
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