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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Exam Format: | Drag and drop, Scenario-based, Multiple select, Multiple choice, Match the service to use case |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 / 1000 |
| Exam Duration: | 45-60 |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| Available Languages: | Chinese (Traditional), Chinese (Simplified), Spanish, Portuguese (Brazil), German, Indonesian (Indonesia), Russian, Japanese, Arabic (Saudi Arabia), English, Korean, French, Italian |
| 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 # 79
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:
Explanation:
Box 1: Yes
Yes, in enterprise environments like Microsoft Foundry, you can select a supported base model from the model catalog and deploy it directly to create a functional inference endpoint.
Box 2: No
Model deployments are created in the management portal or API first, and the playground is just a tool to test and use an already deployed model.
Box 3: Yes
Yes, after deploying an OpenAI model in an Azure or Microsoft Foundry environment, you can immediately use the built-in interactive playground within the portal to send prompts and review responses.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/deploy-foundry-models
NEW QUESTION # 80
Drag and Drop Question
You have a Microsoft Foundry project named project1 that contains an Azure OpenAI resource named Resource1.
To Resource1, you deploy a gpt-4.1-mini model by using a model deployment named my-mini- gpt.
You need to connect to my-mini-gpt from an application.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 81
You are using the Azure Speech SDK to develop a Python application that supports real-time spoken conversations.
Which Azure speech class should you use to configure the connection to the Azure Speech service?
Answer: A
NEW QUESTION # 82
You are developing an application that processes voicemail recordings by using Azure Content Understanding in Foundry Tools. Which feature does Azure Content Understanding use to convert audio to text?
Answer: D
Explanation:
To convert audio to text for voicemail recordings in Azure Content Understanding, you should use the Transcription feature. This core capability leverages the Speech to Text service to automatically convert conversational audio into highly accurate, analyzable text.
Key Transcription Capabilities for Voicemails
Fast Transcription: Designed for applications that require predictable latency and rapid, near real- time conversion for shorter audio files like voicemails.
Text Formatting: Outputs text in structured, searchable formats (like WebVTT) with optional sentence- or word-level timestamps.
Multilingual Options: Automatically detects or locks to specific locales to accommodate diverse callers.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/audio/overview
NEW QUESTION # 83
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 # 84
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