Exam AI-102 topic 3 question 53 discussion

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.

1. Custom NER 2. PII detection

NER + PII

1. Custom NER 2. PII

NER and PII.

seems correct. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/overview

It is true.