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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals (AI-900) Exam |
| Exam Number: | AI-900 |
| Passing Score: | 700 (out of 1000) |
| Available Languages: | Spanish, Chinese (Simplified), Korean, German, Japanese, English, French, Portuguese (Brazil), Chinese (Traditional) |
| Exam Format: | Case study (limited), Drag and drop, Multiple response, Multiple choice |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure Fundamentals (AZ-900) |
| Exam Duration: | 60 minutes |
| Exam Price: | Approx. 99 USD (varies by region) |
| 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 # 110
Which two scenarios are examples of a natural language processing workload? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
The Smart Home Device: It uses speech-to-text to understand voice commands, parses grammatical structures to find user intent, and generates a spoken answer using text-to-speech.
The Website Chatbot: It processes incoming typed text, matches user phrases to topics in a structured knowledge base, and serves human-like conversational text answers back to the browser.
NEW QUESTION # 111
You need to build an AI solution that generates marketing email drafts based on a short description of a product and its target audience.
Which AI workload should you use?
Answer: B
Explanation:
Generating marketing email drafts from a short product description and target audience is a content generation task. This is a generative AI workload because the system creates new text based on the user's prompt.
B . computer vision is for interpreting images or video.
C . text classification categorizes existing text, but does not draft new marketing emails.
D . speech recognition converts spoken audio into text.
Therefore, the correct answer is A. generative AI.
NEW QUESTION # 112
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 # 113
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 # 114
You have a Microsoft Foundry project that contains an agent named Agent1.
You need to ensure that Agent1 always calls an Azure function when the agent responds to user input.
To what should you set tool_choice for Agent1?
Answer: A
Explanation:
Microsoft's Foundry Agent Service documentation states that tool_choice provides deterministic control over tool calling:
auto means the model decides whether to call tools.
required means the model must call one or more tools.
none means the model does not call tools.
Therefore:
A . auto = Incorrect, because the model may or may not call the Azure function.
B . none = Incorrect, because this prevents tool/function calls.
C . required = Correct, because it forces the agent to call a tool.
The Azure OpenAI function-calling documentation also confirms that tool_choice="auto" lets the model decide whether to call a function, while tool_choice="none" forces a user-facing response without a tool call.
NEW QUESTION # 115
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