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Microsoft Azure AI Fundamentals Sample Questions (Q156-Q161):

NEW QUESTION # 156
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://azure.microsoft.com/en-in/blog/microsoft-conversational-ai-tools-enable-developers-to-build-connect-and-manage-intelligent-bots

NEW QUESTION # 157
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer

NEW QUESTION # 158
Which format should you use to send requests to a REST API endpoint for Azure OpenAI?

A. XML
B. CSV
C. JSON
D. YAML

Answer: C

Explanation:
When interacting with the Azure OpenAI REST API, requests and responses are structured using the JSON format. According to the Microsoft Learn documentation on the Azure OpenAI REST API, JSON is the required format for sending prompts, configuration parameters (such as temperature, max_tokens, or top_p), and metadata to the API endpoint.
A typical request to an Azure OpenAI endpoint (for example, /openai/deployments/{model-name}/chat
/completions?api-version=2024-02-01) includes a JSON body similar to the following:
{
"messages": [
{"role": "system", "content": "You are an assistant."},
{"role": "user", "content": "Write a JavaScript function to add two numbers."}
],
"max_tokens": 200,
"temperature": 0.7
}
This JSON format allows for structured data exchange between the client and the server, ensuring that key- value pairs are properly parsed by the API.
* Option A (CSV): Used for storing tabular data, not suitable for API communication.
* Option C (XML): Though historically used in web services, Microsoft's modern APIs, including Azure OpenAI, rely on JSON.
* Option D (YAML): Common in configuration files but not for REST API payloads.
Therefore, per official Microsoft documentation and the AI-900 study guide, the correct and verified answer is B. JSON, as it is the standard format required when sending requests to the Azure OpenAI REST API endpoint.

NEW QUESTION # 159
Your website has a chatbot to assist customers.
You need to detect when a customer is upset based on what the customer types in the chatbot. Which type of AI workload should you use?

A. natural language processing
B. anomaly detection
C. regression
D. semantic segmentation

Answer: A

Explanation:
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral. Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language- processing

NEW QUESTION # 160
Match the computer vision service to the appropriate Al workload.
To answer, drag the appropriate service from the column on the left to its workload on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

NEW QUESTION # 161
......

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Pass Guaranteed Quiz 2026 Unparalleled Microsoft AI-900: Microsoft Azure AI Fundamentals Reliable Torrent

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Microsoft Azure AI Fundamentals Sample Questions (Q156-Q161):

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