Quick Answer
The correct choice is to configure Azure AI Content Safety to moderate images. This dedicated Azure service is specifically built to detect and filter harmful content, including violence, in both text and images, making it the ideal safeguard for a DALL-E image generation pipeline. By integrating Azure AI Content Safety, you can scan each generated image for violent content before it reaches users, ensuring compliance with safety policies without needing to build custom models. On the AI-102 exam, this question tests your understanding of Azure’s purpose-built content moderation services versus general-purpose AI tools; a common trap is to suggest using Azure Computer Vision for moderation, but that service lacks the specialized violence-detection models. Remember the mnemonic “ACS for Safety” — Azure Content Safety is the only first-party service designed for content moderation, not just analysis.
This AI-102 practice question tests your understanding of implement generative ai solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
You are deploying a generative AI solution that uses DALL-E to generate images. The application must ensure that generated images do not contain violent content. Which feature should you enable?
Configure Azure AI Content Safety to moderate images
Azure AI Content Safety can moderate image content.
Use grounding with Azure AI Search
Why wrong: Grounding is for text, not image generation.
Fine-tune the DALL-E model
Why wrong: DALL-E cannot be fine-tuned by customers.
Enable content filtering in DALL-E
Why wrong: DALL-E itself does not have configurable content filtering; use Azure AI Content Safety.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Configure Azure AI Content Safety to moderate images
Azure AI Content Safety is a dedicated service for detecting and moderating harmful content, including violence, in images and text. By integrating this service into your DALL-E image generation pipeline, you can scan generated images for violent content before they are delivered to users, ensuring compliance with safety policies. This is the correct approach because Azure AI Content Safety provides pre-built, customizable content moderation models specifically designed for this purpose.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Configure Azure AI Content Safety to moderate images
Why this is correct
Azure AI Content Safety can moderate image content.
Related concept
Read the scenario before looking for a memorised answer.
Use grounding with Azure AI Search
Why it's wrong here
Grounding is for text, not image generation.
Fine-tune the DALL-E model
Why it's wrong here
DALL-E cannot be fine-tuned by customers.
Enable content filtering in DALL-E
Why it's wrong here
DALL-E itself does not have configurable content filtering; use Azure AI Content Safety.
Common exam traps
The trap here is that candidates may assume DALL-E has a built-in content filter that can be toggled on, but in reality, Azure OpenAI Service requires you to use an external service like Azure AI Content Safety for post-generation moderation.
Detailed technical explanation
Azure AI Content Safety uses multi-modal analysis, including image classification and object detection, to assign severity scores for categories like violence, hate, and self-harm. When integrated with DALL-E, you can use a 'call-and-response' pattern: generate the image, then pass it to the Content Safety API for evaluation, and only return the image if it passes the configured threshold. This approach is essential in production environments where compliance with responsible AI standards is mandatory, such as in healthcare or educational applications.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Implement generative AI solutions — This question tests Implement generative AI solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Configure Azure AI Content Safety to moderate images — Azure AI Content Safety is a dedicated service for detecting and moderating harmful content, including violence, in images and text. By integrating this service into your DALL-E image generation pipeline, you can scan generated images for violent content before they are delivered to users, ensuring compliance with safety policies. This is the correct approach because Azure AI Content Safety provides pre-built, customizable content moderation models specifically designed for this purpose.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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