Explanation:

The Azure OpenAI DALL-E model is a generative image model designed to create original images from textual descriptions (prompts). According to the Microsoft Learn documentation and the AI-900 study guide, DALL-E's primary function is text-to-image generation-it converts creative or descriptive text input into visually relevant imagery.
* "Generate captions for uploaded images" # NoDALL-E cannot create image captions. Captioning an image (describing what's in an uploaded image) is a vision analysis task, not an image generation task.
That functionality belongs to Azure AI Vision, which can analyze and describe images, detect objects, and generate captions automatically.
* "Reliably generate technically accurate diagrams" # NoWhile DALL-E can create visually appealing artwork or conceptual sketches, it is not designed for producing precise or technically correct diagrams, such as engineering schematics or architectural blueprints. The model's generative process emphasizes creativity and visual diversity rather than factual or geometric accuracy. Thus, it cannot be relied upon for professional technical outputs.
* "Generate decorative images to enhance learning materials" # YesThis is one of DALL-E's strongest use cases. It can generate decorative, conceptual, or illustrative images to enhance presentations, educational materials, and marketing content. It enables educators and designers to quickly produce unique visuals aligned with specific themes or topics, enhancing engagement and creativity.