Study guide for the Applied Skills assessment lab: Implement knowledge mining with Azure AI Search

Purpose of this document

Warning

This Applied Skills assessment has been retired. Explore other Applied Skills to keep building your skills.

This study guide provides a summary of the topics covered in the assessment lab, along with additional resources to help you prepare. Note that the learning path on the credential details page may include more modules than the "Tasks performed" to provide a cohesive learning experience.

Tasks at a glance

Create an enrichment pipeline

• Create an Azure AI Search resource

• Create an index

• Create an indexer

• Connect source data

• Run an indexer

• Schedule an indexer

  Supporting module (s):

  • Migrate to Azure Database for PostgreSQL flexible server

Create and manage skill sets

• Add a skill set definition

• Define inputs

• Define outputs

• Define context

• Configure a downstream skill

• Manage skill sets

  Supporting module (s):

  • Create a custom skill for Azure AI Search

Create a custom skill

• Enable enrichment caching

• Handle inputs

• Handle outputs

• Handle business logic

• Scale out a custom skill

  Supporting module (s):

  • Create a custom skill for Azure AI Search

Debug a skill set

• Create a debug session

• Update field mappings

• Debug a custom skill locally

  Supporting module (s):

  • Create a custom skill for Azure AI Search

Store and explore output

• Create a knowledge store

• Integrate a knowledge store

• Define a projection

• Query output by using Search Explorer

• Integrate output into an app by using the REST API

  Supporting module (s):

  • Create a knowledge store with Azure AI Search