AI-102 Question 91
Single answerYou are designing a content moderation solution for a social media platform using Azure AI Content Safety. The platform needs to detect and flag inappropriate text content in real-time, including hate speech and profanity, while ensuring minimal latency for user experience. Which Azure AI Content Safety feature should you prioritize for this solution?
- A
Real-time text moderation API
- B
Batch processing for text moderation
- C
Customizable text classification models
- D
Azure Cognitive Search integration
Show answer and explanation
Correct answer: A
Explanation
The Real-time text moderation API in Azure AI Content Safety is specifically designed for scenarios requiring immediate analysis and response, such as flagging inappropriate user-generated content in real-time. This feature aligns with the requirement for low-latency moderation in a social media platform. Other options like batch processing or Cognitive Search are not suitable for real-time applications.
- A. Correct.
The Real-time text moderation API is designed to analyze text for inappropriate content in real-time, which is critical for minimizing latency in user-facing applications.
- B. Incorrect.
Batch processing for text moderation is better suited for analyzing large volumes of text asynchronously, which is not ideal for real-time user interactions.
- C. Incorrect.
Customizable text classification models can enhance detection capabilities but do not inherently provide real-time moderation capabilities.
- D. Incorrect.
Azure Cognitive Search integration is not directly related to content moderation but can be used for indexing and searching large datasets.