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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Exam Format: | Match the service to use case, Drag and drop, Scenario-based, Multiple choice, Multiple select |
| Passing Score: | 700 / 1000 |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 45-60 |
| Available Languages: | Russian, Spanish, Korean, German, English, Indonesian (Indonesia), Chinese (Simplified), Italian, Arabic (Saudi Arabia), French, Japanese, Chinese (Traditional), Portuguese (Brazil) |
| 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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NEW QUESTION # 97
What are two types of generative AI models? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point
Answer: C,E
Explanation:
GPT (Generative Pre-trained Transformer): A generative AI model that focuses on text-based tasks, such as language generation, summarization, and question answering. GPT models are foundational for tasks involving natural language generation.
DALL-E: A generative AI model designed to create images from textual descriptions. It represents a type of generative model specialized in computer vision tasks, specifically generating new visual content.
NEW QUESTION # 98
You deploy an AI system to assist with hiring decisions.
Company policy requires that human reviewers oversee AI-generated recommendations and remain responsible for final hiring decisions.
Which Microsoft responsible AI principle is this an example of?
Answer: B
Explanation:
Accountability is the Microsoft responsible AI principle that ensures human oversight so that people remain responsible for AI-driven decisions.
Human Oversight: Requiring human review ensures that AI operates under effective governance rather than acting autonomously on high-impact choices.
Final Authority: Keeping humans legally and operationally responsible prevents automated systems from dictating critical outcomes like hiring.
Reference:
https://www.microsoft.com/en-us/ai/principles-and-approach
NEW QUESTION # 99
You need to convert written customer notifications into natural-sounding spoken audio that can be played over a phone system.
Which Azure Speech in Foundry Tools capability should you use?
Answer: D
Explanation:
The requirement is to convert written customer notifications into natural-sounding spoken audio. This is speech synthesis, also known as text to speech.
Microsoft's Azure Speech documentation describes text to speech as a capability that converts text into natural-sounding synthesized speech. Therefore, for playing written notifications over a phone system, the correct Azure Speech capability is speech synthesis.
Why the other options are incorrect:
A . speaker recognition identifies or verifies speakers by voice.
C . speech recognition converts spoken audio into text.
D . speech translation translates spoken audio between languages.
NEW QUESTION # 100
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 # 101
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 # 102
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