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Answer: Integrate the Azure AI Content Safety service into the CMS by adding a middleware component that intercepts user-generated content and sends it to the service for moderation, and configure the service to handle profanity, explicit content, personal attacks, and hate speech detection.
Option B is the most comprehensive and accurate answer. It covers the necessary steps to integrate the Azure AI Content Safety service into an existing CMS, including adding a middleware component or custom plugin to intercept user-generated content and send it to the service for moderation. It also suggests configuring the service to handle a wide range of content types, including profanity, explicit content, personal attacks, and hate speech detection, ensuring a robust and effective moderation solution.
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You are tasked with integrating the Azure AI Content Safety service into an existing content management system (CMS) to provide text and image moderation capabilities. Describe the steps you would take to integrate the service into the CMS, including how you would handle user-generated content and how you would configure the service to handle different types of content.
A
Integrate the Azure AI Content Safety service into the CMS by adding a middleware component that intercepts user-generated content and sends it to the service for moderation, and configure the service to handle profanity and explicit content detection.
B
Integrate the Azure AI Content Safety service into the CMS by adding a middleware component that intercepts user-generated content and sends it to the service for moderation, and configure the service to handle profanity, explicit content, personal attacks, and hate speech detection.
C
Integrate the Azure AI Content Safety service into the CMS by adding a custom plugin that intercepts user-generated content and sends it to the service for moderation, and configure the service to handle all types of content detection.
D
Integrate the Azure AI Content Safety service into the CMS by modifying the CMS's source code to directly call the service's APIs for content moderation, and configure the service to handle profanity and explicit content detection.
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