- A
GPT-4 with standard content filtering
Why wrong: GPT-4 is a large language model for text generation, not image generation. It cannot generate images from text prompts.
- B
DALL-E with built-in content filtering
DALL-E is the Azure OpenAI model for generating images from natural language descriptions. It allows specifying style via prompt engineering. Azure OpenAI includes built-in content filtering to prevent generating unsafe or inappropriate images.
- C
GPT-3.5 with custom moderation
Why wrong: GPT-3.5 is a text generation model and cannot produce images. Custom moderation would not enable image generation.
- D
Codex with output validation
Why wrong: Codex is a model specialized for generating code, not images. It cannot fulfill the image generation requirement.
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. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. 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.
An advertising agency wants to generate product images from text prompts. They need the ability to specify the visual style (e.g., photorealistic, oil painting) and also ensure that the generated images are safe for work by blocking inappropriate content. Which Azure OpenAI model and feature should they use?
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
DALL-E with built-in content filtering
B is correct because DALL-E is the Azure OpenAI model specifically designed for generating images from text prompts, and it includes built-in content filtering to block inappropriate or unsafe content. This combination directly meets the agency's need to specify visual styles (e.g., photorealistic, oil painting) via prompt engineering while ensuring safety compliance without additional configuration.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
GPT-4 with standard content filtering
Why it's wrong here
GPT-4 is a large language model for text generation, not image generation. It cannot generate images from text prompts.
- ✓
DALL-E with built-in content filtering
Why this is correct
DALL-E is the Azure OpenAI model for generating images from natural language descriptions. It allows specifying style via prompt engineering. Azure OpenAI includes built-in content filtering to prevent generating unsafe or inappropriate images.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
GPT-3.5 with custom moderation
Why it's wrong here
GPT-3.5 is a text generation model and cannot produce images. Custom moderation would not enable image generation.
- ✗
Codex with output validation
Why it's wrong here
Codex is a model specialized for generating code, not images. It cannot fulfill the image generation requirement.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse text-based models (GPT-4, GPT-3.5) with image generation models, assuming any Azure OpenAI service can handle multimodal tasks, or overlook that DALL-E's built-in content filtering is the specific feature for safety, not a generic moderation add-on.
Detailed technical explanation
How to think about this question
DALL-E 2 and DALL-E 3 in Azure OpenAI use a diffusion-based architecture to generate images from text embeddings, with built-in content filters that analyze both the input prompt and the generated image against safety categories (e.g., hate, sexual, violence). The model supports style modifiers like 'oil painting' or 'photorealistic' as part of the prompt, and the content filtering operates at the API level, returning a content filter error if the prompt or output violates policies, ensuring compliance without manual review.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
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
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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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 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: DALL-E with built-in content filtering — B is correct because DALL-E is the Azure OpenAI model specifically designed for generating images from text prompts, and it includes built-in content filtering to block inappropriate or unsafe content. This combination directly meets the agency's need to specify visual styles (e.g., photorealistic, oil painting) via prompt engineering while ensuring safety compliance without additional configuration.
What should I do if I get this AI-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 11, 2026
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.
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