Exam AI-901 Topic 1 Question 20 Discussion
Actual exam question for Microsoft's AI-901 exam
Question #: 20
Topic #: 1
Question #: 20
Topic #: 1
You have a Microsoft Foundry project that contains a vision-enabled model deployment.
You need to develop an application that sends a message containing text and an image URL. The solution must ensure the quickest response time.
Which message structure should you include in the request?
You need to develop an application that sends a message containing text and an image URL. The solution must ensure the quickest response time.
Which message structure should you include in the request?
Suggested Answer: D Vote an answer
For a vision-enabled model, Microsoft documentation shows that multimodal prompts can include both text and image content in the same user message content array. Azure OpenAI vision models accept multimodal image-and-text input and return natural language responses.
The correct request structure is a user message with a content array containing both items, for example:
{
"role": "user",
"content": [
{"type": "input_text", "text": "What is in this image?"},
{"type": "input_image", "image_url": image_url}
]
}
This avoids sending separate requests and is therefore the best choice for quickest response time.
A and C are incorrect because they send the text and image separately.
B is incorrect because the image/question should be sent as a user message, while system messages are used for instructions and behavior.
The correct request structure is a user message with a content array containing both items, for example:
{
"role": "user",
"content": [
{"type": "input_text", "text": "What is in this image?"},
{"type": "input_image", "image_url": image_url}
]
}
This avoids sending separate requests and is therefore the best choice for quickest response time.
A and C are incorrect because they send the text and image separately.
B is incorrect because the image/question should be sent as a user message, while system messages are used for instructions and behavior.
by Pearl at Sep 24, 2026, 12:20 PM
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