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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals (AI-900) Exam |
| Exam Number: | AI-900 |
| Exam Duration: | 60 minutes |
| Passing Score: | 700 (out of 1000) |
| Available Languages: | Chinese (Traditional), Korean, Chinese (Simplified), Portuguese (Brazil), French, English, Japanese, Spanish, German |
| Related Certifications: | Microsoft Azure Fundamentals (AZ-900) Microsoft Azure Data Fundamentals (DP-900) |
| Exam Price: | Approx. 99 USD (varies by region) |
| Real Exam Qty: | 40-60 |
| Exam Format: | Drag and drop, Case study (limited), Multiple response, Multiple choice |
| Certificate Validity Period: | Does not expire (Fundamentals certification) |
| Recommended Training: | Azure AI Fundamentals Course Microsoft Learn - AI-900 Learning Path |
| Exam Registration: | Schedule exam via Pearson VUE Microsoft Certification Portal |
| Sample Questions: | Microsoft AI-901 Sample Questions |
| Exam Way: | Online proctored exam or in-person test center |
| Pre Condition: | No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/ |
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NEW QUESTION # 41
In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
[A] Closed Captions
Goal: Show text on a screen for videos.
How it works:
Speech recognition matches spoken words with time codes.
This makes text appear on the screen as the audio plays.
[D] Transcript Creation
Goal: Write down everything said in a phone call or a meeting.
How it works:
An audio file is processed by a speech recognition tool.
The tool outputs a text document of the conversation.
NEW QUESTION # 42
Drag and Drop Question
You are developing an application that extracts structured information from different types of content by using Azure Content Understanding in Foundry Tools.
You need to extract scanned invoices in the PDF format and voicemail recordings in the WAV format.
Which type of analyzer should you use for each content type? To answer, drag the appropriate analyzer types to the correct content types. Each analyzer type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 43
You have a multimodal model deployed in Microsoft Foundry
You need to configure the model to analyze an image and provide both a written summary and an audio summary of the image.
What is the minimum number of user prompts that should be sent to the model?
Answer: D
Explanation:
A multimodal model can receive a single user prompt that includes the image plus instructions. The prompt can ask for both outputs in one request, for example: "Analyze this image and provide a written summary and an audio summary." Therefore, the minimum number of user prompts is 1 .
NEW QUESTION # 44
What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,C,E
Explanation:
Microsoft's Six Responsible AI Principles
[C] Fairness: AI systems should treat all people equitably and avoid bias or discrimination.
[D] Reliability and Safety: Systems must operate dependably, consistently, and safely without causing harm.
Privacy and Security: AI must protect user data securely and respect personal privacy.
[E] Inclusiveness: Design should empower and engage diverse communities and users of all abilities.
Transparency: AI behavior and decision-making processes should be understandable to users.
Accountability: Creators and deployers of AI are responsible for how their systems operate.
Reference:
https://www.microsoft.com/en-us/ai/principles-and-approach
NEW QUESTION # 45
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
The correct answer is Creating captions for a video recording . Speech recognition, also called speech-to-text , converts spoken audio into textual output. Microsoft explicitly defines Azure Speech-to-Text as speech recognition technology that transcribes audio streams or prerecorded audio into text.
Caption generation is a direct application of this capability. Microsoft describes captioning as converting the audio content of a video, film, webcast, or other production into text and displaying that text visually.
Therefore, creating captions from the spoken content of a video is a canonical speech-recognition workload.
Creating an audio commentary is instead associated with speech synthesis or text-to-speech because the required output is spoken audio. Identifying key phrases in a video transcript is a text-analysis/NLP task performed after the speech has already been transcribed. A voice-activated security system may involve voice authentication, speaker recognition, or command recognition, but it is not as unambiguously a speech-to-text workload as caption generation.
The AI-901 Study Guide specifically requires candidates to distinguish the features and capabilities of speech recognition and speech synthesis .
NEW QUESTION # 46
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2026 Latest Actual4Exams AI-901 PDF Dumps and AI-901 Exam Engine Free Share: https://drive.google.com/open?id=1CtYTayvBVpEVJEpjDsQpMBbbyfoMTSo4