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NEW QUESTION # 41
You have a website that includes customer reviews.
You need to store the reviews in English and present the reviews to users in their respective language based on each user ' s geographical location.
Which type of natural language processing workload should you use?
Answer: B
NEW QUESTION # 42
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
The correct answer is natural language processing . In this scenario, a user communicates with a chatbot using ordinary human language, such as asking, "Will it rain today?" The chatbot must interpret the meaning and intent of the user ' s text, process the request, and formulate a natural-language response containing the relevant weather information. These are characteristic natural language processing (NLP) functions.
The current AI-901 study guide explicitly includes text analysis among the common AI workloads candidates must identify, and it also covers techniques for processing and interpreting human language. Microsoft documentation on conversational language understanding explains that conversational systems interpret user utterances to determine the user ' s intent and extract relevant information before the application performs an appropriate action.
Although the weather information itself may originate from a forecasting system, the scenario being tested centers on the chatbot interaction -understanding a natural-language question and responding conversationally. Therefore, prediction and forecasting is not the best classification of the complete interaction. Computer vision is also incorrect because no images or visual information are being analyzed.
NEW QUESTION # 43
You have a Microsoft Foundry project that contains a vision-enabled chat model deployment.
You are developing a Python application that uses the responses API. The application sends a request that includes a user prompt and a local JPEG image.
You need to include the local image in the request.
Which value should you use for the image input?
Answer: A
Explanation:
The content type value you should use for the image input is input_image, and the payload value must contain a base64-encoded data URI string.
When using the Azure OpenAI Responses API inside a Microsoft Foundry project, multimodal elements are structured uniquely into content blocks. Unlike the standard Chat Completions API (which uses image_url for the content type), the Responses API explicitly requires the following schema for local images:
Required Message Block Structurepythonresponses = client.responses.create( model="your_deployment_name", input=[
{
"role": "user",
"content": [
{
"type": "input_text",
"text": "What is in this image?"
},
{
"type": "input_image", # <--- Use this content type value
"image_url": "data:image/jpeg;base64,/9j/4AAQSkZJRg..." # <--- Base64 string goes here
}
]
}
]
)
Reference:
https://medium.com/@shukclaw/image-text-extraction-with-azure-ai-foundry-7536468c32fd
NEW QUESTION # 44
You have 100 instructional videos that do NOT contain any audio. Each instructional video has a script.
You need to generate a narration audio file for each video based on the script.
Which type of workload should you use?
Answer: A
Explanation:
Text to speech enables your applications, tools, or devices to convert text into humanlike synthesized speech. The text to speech capability is also known as speech synthesis. Use humanlike prebuilt neural voices out of the box, or create a custom neural voice that's unique to your product or brand.
Reference:
https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/text-to-speech
NEW QUESTION # 45
You have 100 instructional videos that do NOT contain any audio. Each instructional video has a script.
You need to generate a narration audio file for each video based on the script.
Which type of workload should you use?
Answer: A
NEW QUESTION # 46
......
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