Examice

DRAG DROP

You are building a customer support chatbot.

You need to configure the bot to identify the following:

• Code names for internal product development

• Messages that include credit card numbers

The solution must minimize development effort.

Which Azure Cognitive Service for Language feature should you use for each requirement? To answer, drag the appropriate features to the correct requirements. Each feature may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

1. Custom NER 2. PII detection https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/custom-named-entity-recognition/overview Custom NER enables users to build custom AI models to extract domain-specific entities from unstructured text, such as contracts or financial documents. By creating a Custom NER project, developers can iteratively label data, train, evaluate, and improve model performance before making it available for consumption. The quality of the labeled data greatly impacts model performance. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/personally-identifiable-information/overview PII detection is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. The PII detection feature can identify, categorize, and redact sensitive information in unstructured text. For example: phone numbers, email addresses, and forms of identification.