A gaming platform uses Azure AI Content Safety to moderate chat messages. They have identified a set of offensive terms that are consistently bypassing the default filters because they are written with common misspellings (e.g., 'h4te'). The moderation team wants to block these variations without blocking legitimate words that contain similar substrings. What should they do?

Increase the severity threshold for the hate category.

Add the root word to the blocklist and enable fuzzy matching.

Use Azure AI Language to train a custom entity recognition model for the misspellings.

Add each misspelling as an exact-match entry in a custom blocklist.

A community forum is implementing Azure AI Content Safety to moderate user posts. They want to automatically reject posts that contain hate speech, but they also want to allow posts that contain self-referential uses of a word (e.g., 'I am not a [slur]'). What should they configure?

Add the slur to a blocklist and set the action to 'Reject' for all users.

Use Azure AI Language to create a custom sentiment analysis model to detect the context.

Use the Content Safety API with a custom blocklist that includes the slur, but set the action to 'Review' instead of 'Reject'.

Set the hate severity threshold to 'Low' and rely on the AI to understand context.

A healthcare organization is deploying an Azure OpenAI-based chatbot to answer patient questions. The compliance team requires a dashboard to monitor how often the chatbot produces content that violates safety policies, and they need to track the severity of such incidents over time. What should they configure in Azure AI Foundry?

Create a custom Power BI report that queries the Azure OpenAI API logs directly.

Use Azure Monitor alerts to notify when the chatbot is accessed by more than 100 users.

Enable Responsible AI insights and configure the monitoring dashboard to log content safety events.

Set up Application Insights to capture all chat transcripts and manually review them.

A gaming company uses Azure AI Content Safety to moderate chat messages in its multiplayer game. The company wants to block a specific set of offensive words that are unique to its community, while still allowing normal conversation. What is the most efficient way to achieve this?

Train a custom Azure AI model to recognize the community-specific offensive words.

Ask the community to report offensive words and manually ban users who use them.

Create a custom blocklist with the community-specific offensive words and apply it to the chat moderation pipeline.

Use the standard content filters and set the severity threshold to the highest level to block all potentially offensive content.

Microsoft Certified:Azure AI Engineer Associate

Domain 1Objective 4

Implement AI Solutions Responsibly AI-102 Practice Questions (Page 3)

Part of the Plan and manage an Azure AI solution domain, which accounts for 20-25% of the AI-102 exam. Microsoft does not publish an official question count, but from its 100-minute exam (~40–65 total, ~8–16 in this domain), expect 2–4 from this objective — we provide 39 practice questions to prepare you well beyond it. (estimate)

39questions here

8free pages

5concepts

20-25%of the exam

Questions 11–15

11application · medium
A gaming platform uses Azure AI Content Safety to moderate chat messages. They have identified a set of offensive terms that are consistently bypassing the default filters because they are written with common misspellings (e.g., 'h4te'). The moderation team wants to block these variations without blocking legitimate words that contain similar substrings. What should they do?
Select an answer first
12application · medium
A community forum is implementing Azure AI Content Safety to moderate user posts. They want to automatically reject posts that contain hate speech, but they also want to allow posts that contain self-referential uses of a word (e.g., 'I am not a [slur]'). What should they configure?
Select an answer first
13application · medium
A healthcare organization is deploying an Azure OpenAI-based chatbot to answer patient questions. The compliance team requires a dashboard to monitor how often the chatbot produces content that violates safety policies, and they need to track the severity of such incidents over time. What should they configure in Azure AI Foundry?
Select an answer first
14application · medium
A gaming company uses Azure AI Content Safety to moderate chat messages in its multiplayer game. The company wants to block a specific set of offensive words that are unique to its community, while still allowing normal conversation. What is the most efficient way to achieve this?
Select an answer first
15application · medium
An enterprise is deploying an Azure OpenAI service for a customer-support copilot. They want to prevent users from crafting prompts that attempt to manipulate the model into ignoring its system instructions. Which Azure AI Content Safety feature should they enable?
Select an answer first

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Implement AI Solutions Responsibly AI-102 Practice Questions (Page 3)

Questions 11–15

A community forum is implementing Azure AI Content Safety to moderate user posts. They want to automatically reject posts that contain hate speech, but they also want to allow posts that contain self-referential uses of a word (e.g., 'I am not a [slur]'). What should they configure?

A gaming company uses Azure AI Content Safety to moderate chat messages in its multiplayer game. The company wants to block a specific set of offensive words that are unique to its community, while still allowing normal conversation. What is the most efficient way to achieve this?

An enterprise is deploying an Azure OpenAI service for a customer-support copilot. They want to prevent users from crafting prompts that attempt to manipulate the model into ignoring its system instructions. Which Azure AI Content Safety feature should they enable?

Keep studying — Plan and manage an Azure AI solution