Back to Azure AI Engineer Associate (AI-102)

Implement knowledge mining and information extraction solutions

Build Azure AI Search solutions and extract information using Document Intelligence and Content Understanding.

Covers implementing Azure AI Search including provisioning resources, creating indexes and skillsets, building custom skills, managing indexers, querying with syntax and filters, managing Knowledge Store projections, and implementing semantic and vector search. Includes Azure Document Intelligence for extracting data from documents using prebuilt and custom models. Also covers Azure Content Understanding for OCR pipelines, document summarization, classification, entity and table extraction, and processing various content types.
5 minutes 5 Questions

Knowledge mining and information extraction in Azure involves leveraging AI services to discover insights from large volumes of unstructured data. Azure Cognitive Search serves as the primary platform for implementing these solutions, enabling organizations to extract valuable information from docu…

Concepts covered: Provisioning Azure AI Search and creating indexes, Creating data sources and indexers, Implementing and including custom skills, Creating and running indexers, Querying indexes with syntax, sorting, and filtering, Managing Knowledge Store projections, Implementing semantic and vector store solutions, Provisioning Document Intelligence resources, Using prebuilt models to extract document data, Implementing custom document intelligence models, Training and publishing custom document models, Creating composed document intelligence models, Creating OCR pipelines for text extraction, Summarizing and classifying documents, Extracting entities, tables, and images from documents, Processing documents, images, videos, and audio

Test mode:
Start practice test
More Implement knowledge mining and information extraction solutions questions
640 questions (total)
Start 100 question test