Skip to Content

Designing Azure AI Solutions: How to Improve Azure AI Solutions by Filtering Profanities Using Azure Content Moderator?

Learn how to enhance Azure AI Solutions by automatically filtering profanities with Azure Content Moderator. Discover its features for text moderation and improve model accuracy.

Question

An Azure AI Solution is showing poor results because of data containing profanities. How would you alter the solution to automatically exclude this data from the model?

A. Search for profanities within the data using Azure Search.
B. Inspect the data after it has been processed.
C. Use Azure Content Moderator to filter out undesirable data.
D. Reject all the data if any profanities are detected.

Answer

C. Use Azure Content Moderator to filter out undesirable data.

Explanation

Azure Content Moderator is an AI-powered service designed to detect and filter offensive, risky, or undesirable content, including profanities, from text, images, and videos. It uses pre-built APIs for text moderation that identify profane terms in multiple languages through term-based matching and machine-assisted classification. This ensures that inappropriate data is excluded from the model before processing, improving the quality of results.

Why Other Options Are Incorrect

A. Search for profanities within the data using Azure Search: Azure Search is primarily used for indexing and querying structured data but does not include built-in profanity detection or filtering capabilities.

B. Inspect the data after it has been processed: Post-processing inspection does not prevent profanities from influencing the model’s training or predictions, making it ineffective for improving results.

D. Reject all the data if any profanities are detected: This approach is overly restrictive and could lead to significant loss of valuable data that does not contain profanities.

Key Features of Azure Content Moderator

  • Profanity Detection: Identifies offensive words in supported languages and provides their location in the text.
  • Custom Term Lists: Allows users to create specific lists of terms to flag or exclude based on business needs.
  • Text Classification: Categorizes flagged content into categories such as offensive language or sexually explicit material.
  • Autocorrection: Optionally corrects misspellings in text during moderation.

By integrating Azure Content Moderator into your solution, you can effectively filter out undesirable content, ensuring your AI models are trained on clean and relevant data.

Designing Microsoft Azure AI Solutions skill assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Designing Microsoft Azure AI Solutions exam and earn Designing Microsoft Azure AI Solutions certification.