Free Microsoft AI-901 Exam Dumps November 2026

The requirement is to produce new product images based on written descriptions. This is an image generation workload, because the AI system is creating entirely new images from natural language prompts.

Why the other options are incorrect:

B . image analysis is used to examine and interpret existing images.

C . object detection is used to identify and locate objects within an existing image.

D . optical character recognition (OCR) is used to extract text from images or scanned documents.

Since the solution must generate new visual content from user-provided descriptions, the correct answer is:

A . image generation

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.

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.