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Pass4training offers Microsoft Azure AI Fundamentals (AI-901) practice exams (desktop & web-based) which are customizable. It means candidates can set time and Microsoft AI-901 questions of the AI-901 practice exam according to their learning needs. The Real AI-901 Exam environment of practice test help test takers to get awareness about the test pressure so that they become capable to counter this pressure during the final exam.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Exam Duration: | 45-60 |
| Exam Price: | USD 99 |
| Available Languages: | English, Arabic (Saudi Arabia), French, Spanish, Russian, Indonesian (Indonesia), Italian, Japanese, Korean, Chinese (Simplified), Portuguese (Brazil), Chinese (Traditional), German |
| Passing Score: | 700 / 1000 |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| Exam Format: | Match the service to use case, Multiple choice, Scenario-based, Multiple select, Drag and drop |
| 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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NEW QUESTION # 92
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 93
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 # 94
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 # 95
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box 1: Named Entity Recognition (NER)
Named Entity Recognition (NER) is used to extract dates, quantities, and locations from text, along with other categories like names of people, organizations, and monetary values.
Reference:
https://www.iamdave.ai/blog/understanding-named-entity-recognition-ner-meaning-methods-and-use-cases/
NEW QUESTION # 96
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Evaluating model outcomes across demographic groups to reduce bias is an example of the Microsoft responsible AI principle of fairness .
The Microsoft responsible AI principle of fairness means AI systems should treat all people fairly and avoid unfair bias or discrimination across groups.
The other options are incorrect:
accountability means people and organizations remain responsible for AI systems and their effects.
privacy and security focuses on protecting data and controlling access.
transparency means users should understand when and how AI is being used, including system capabilities and limitations.
NEW QUESTION # 97
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