AI-102 Question 92
Select 3You are designing a text moderation solution for a social media application using Azure AI Content Safety. The application needs to detect and filter harmful content such as hate speech, profanity, and threats in real-time while also allowing customization for specific terms that are acceptable within the application's community guidelines. Which of the following steps should you include in your solution to achieve this?
- A
Enable the Azure AI Content Safety service and configure a content filtering policy.
- B
Use the Text Analytics for Sentiment Analysis API to detect harmful content.
- C
Customize the blocklist and allowlist to reflect the community guidelines.
- D
Integrate the Azure AI Content Safety API into the application for real-time processing.
- E
Train a custom machine learning model to replace Azure AI Content Safety.
Show answer and explanation
Correct answers: A, C, D
Explanation
To implement a text moderation solution with Azure AI Content Safety, you must configure the service, customize its behavior to align with specific community guidelines, and integrate it into the application for real-time processing. Text Analytics and custom machine learning models are not designed for this specific use case, making them less suitable options.
- A. Correct.
Correct: Enabling the Azure AI Content Safety service and configuring a content filtering policy is essential to set up the moderation framework.
- B. Incorrect.
Incorrect: While Text Analytics can analyze sentiment, it is not designed for detecting specific harmful content such as hate speech, profanity, or threats.
- C. Correct.
Correct: Customizing the blocklist and allowlist ensures that the solution aligns with the application's specific community guidelines.
- D. Correct.
Correct: Integrating the Azure AI Content Safety API enables real-time moderation of harmful content within the application.
- E. Incorrect.
Incorrect: Training a custom machine learning model would be unnecessary as Azure AI Content Safety provides pre-built capabilities tailored for text moderation.