- A
Azure OpenAI Service with the DALL-E 2 model and content filtering enabled
Correct. DALL-E 2 generates images from text, and Azure OpenAI Service provides built-in content filtering to block harmful outputs, ensuring age-appropriate images.
- B
Azure Cognitive Services Computer Vision with custom vision image generation
Why wrong: Incorrect. Azure Cognitive Services Computer Vision does not include image generation capabilities; it analyzes existing images.
- C
Azure OpenAI Service with the GPT-4 model and content filtering enabled
Why wrong: Incorrect. GPT-4 is a text-based model and does not generate images. The scenario requires image generation, which is not supported by GPT-4.
- D
Azure OpenAI Service with the DALL-E 2 model without content filtering
Why wrong: Incorrect. While DALL-E 2 can generate images, disabling content filtering would not meet the requirement to ensure safety for all ages. Content filtering is essential to block inappropriate content.
Quick Answer
The answer is Azure OpenAI Service with the DALL-E 2 model and content filtering enabled. This is correct because DALL-E 2 is the Azure service specifically designed for safe image generation from text, using a diffusion model that creates high-quality visuals from natural language descriptions, while the content filtering feature acts as a safeguard to block inappropriate or unsafe outputs, ensuring the generated images are suitable for all ages. On the Microsoft Azure AI Fundamentals AI-900 exam, this question tests your understanding of responsible AI practices and the specific generative AI services within Azure, often appearing as a scenario where you must pair the correct service with its safety configuration. A common trap is to choose a general computer vision service like Computer Vision, which analyzes images but does not generate them, or to forget that content filtering must be explicitly enabled. Memory tip: think “DALL-E draws, filter guards” to remember the service and its safety feature together.
AI-900 Practice Question: Describe features of generative AI workloads on Azure
This AI-900 practice question tests your understanding of describe features of generative ai workloads on azure. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. A key principle to apply: dALL-E 2 is a generative AI model for creating images from text descriptions.. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
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
Option A is correct because 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.
Key principle: DALL-E 2 is a generative AI model for creating images from text descriptions.
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
Correct. DALL-E 2 generates images from text, and Azure OpenAI Service provides built-in content filtering to block harmful outputs, ensuring age-appropriate images.
Related concept
DALL-E 2 is a generative AI model for creating images from text descriptions.
- ✗
Azure Cognitive Services Computer Vision with custom vision image generation
Why it's wrong here
Incorrect. Azure Cognitive Services Computer Vision does not include image generation capabilities; it analyzes existing images.
- ✗
Azure OpenAI Service with the GPT-4 model and content filtering enabled
Why it's wrong here
Incorrect. GPT-4 is a text-based model and does not generate images. The scenario requires image generation, which is not supported by GPT-4.
- ✗
Azure OpenAI Service with the DALL-E 2 model without content filtering
Why it's wrong here
Incorrect. While DALL-E 2 can generate images, disabling content filtering would not meet the requirement to ensure safety for all ages. Content filtering is essential to block inappropriate content.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing 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.
Trap categories for this question
Scenario analysis trap
Incorrect. GPT-4 is a text-based model and does not generate images. The scenario requires image generation, which is not supported by GPT-4.
Detailed technical explanation
How to think about this question
DALL-E 2 uses a diffusion model that iteratively refines random noise into an image guided by the text prompt, leveraging a CLIP-based encoder to align visual and textual representations. Content filtering in Azure OpenAI Service applies both input and output filters using Azure's content moderation APIs, which can detect and block categories like hate, sexual, violence, and self-harm, ensuring compliance with responsible AI policies.
KKey Concepts to Remember
- DALL-E 2 is a generative AI model for creating images from text descriptions.
- Azure OpenAI Service provides access to DALL-E 2 and other OpenAI models.
- Content filtering in Azure OpenAI Service helps ensure generated content is safe and appropriate.
- Content filtering scans for categories like hate, sexual, self-harm, and violence.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
DALL-E 2 is a generative AI model for creating images from text descriptions.
Real-world example
How this comes up in practice
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
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FAQ
Questions learners often ask
What does this AI-900 question test?
Describe features of generative AI workloads on Azure — This question tests Describe features of generative AI workloads on Azure — DALL-E 2 is a generative AI model for creating images from text descriptions..
What is the correct answer to this question?
The correct answer is: Azure OpenAI Service with the DALL-E 2 model and content filtering enabled — Option A is correct because 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.
What should I do if I get this AI-900 question wrong?
Review dALL-E 2 is a generative AI model for creating images from text descriptions., then practise related AI-900 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
DALL-E 2 is a generative AI model for creating images from text descriptions.
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Last reviewed: Jun 11, 2026
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