Question 796 of 985
AI-900 Practice Question: Describe features of generative AI workloads on Azure
A museum wants to create an interactive exhibit where visitors can type a description of a fictional creature, such as 'a fire-breathing dragon with emerald scales and golden wings,' and the system generates an image of that creature in real time. The museum must ensure that the generated images are safe and appropriate for all ages, including children. Which Azure service should they use, and which safety feature should they configure?
⚠ Common exam trap
It's easy for candidates to confuse Azure OpenAI Service's DALL-E 2 (image generation) with GPT-4 (text generation), or assuming that any AI service with content filtering can generate images, when only DALL-E 2 is designed for that task.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure OpenAI Service with the DALL-E 2 model and content filtering enabled
Azure OpenAI Service with DALL-E 2 is specifically designed for generating images from text descriptions, and enabling content filtering ensures the output is safe for all ages, including children. This combination directly meets the museum's requirement for real-time, safe image generation from textual prompts.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure OpenAI Service with the DALL-E 2 model and content filtering enabled
Why this is correct
Azure OpenAI Service's DALL-E 2 model accepts natural language prompts and generates raster images, which directly satisfies the museum's need to create interactive exhibit visuals. Built-in content filtering in Azure OpenAI applies configurable severity filters to both the input prompt and the generated output, blocking harmful or inappropriate content like hate, sexual, violence, and self-harm. This ensures the generated images are age-appropriate for museum visitors. DALL-E 2 is the correct model here because the task is text-to-image generation, not text completion.
- ✗
Azure Cognitive Services Computer Vision with custom vision image generation
Why it's wrong here
Azure Cognitive Services Computer Vision is an image-analysis service that extracts information from existing pictures, such as detecting objects, reading text (OCR), or categorizing scenes; it has no text-to-image generation capability. 'Custom Vision' is a distinct Azure service for training custom image classifiers or object detectors, not for synthesizing new images. Neither Computer Vision nor Custom Vision can turn a visitor's description into a newly generated exhibit image, so this option fails the core requirement.
- ✗
Azure OpenAI Service with the GPT-4 model and content filtering enabled
Why it's wrong here
GPT-4 in Azure OpenAI is primarily an autoregressive language model that predicts and generates sequences of text, such as conversational replies or code, but it does not produce image outputs. Even with multimodal capabilities available in some versions, GPT-4 is designed to interpret image inputs, not generate image files or render visual artwork. Using GPT-4 would create textual descriptions or captions, not the interactive visual images the museum needs, so this option is technically incompatible with the stated requirement.
- ✗
Azure OpenAI Service with the DALL-E 2 model without content filtering
Why it's wrong here
Although DALL-E 2 can generate images from text, disabling content filtering leaves the service without the safety guardrails Azure OpenAI applies to prompts and generated outputs. The museum's requirement explicitly states 'ensure safety for all ages,' so without content filtering the system could return images containing violent, sexual, or otherwise inappropriate content. Configurable severity filters are an integral part of Azure OpenAI's responsible AI deployment, and removing them fails the age-appropriateness requirement even though the underlying model is capable.
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Last reviewed: Jun 11, 2026
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