Question 8
Domain 5: Describe knowledge mining and generative AI workloads on AzureWhat are the two approaches provided by Azure AI Search to create and load JSON documents into an index?
Correct answer: A
Explanation
Azure AI Search supports two indexing approaches: the "push" model, where applications send JSON documents directly to the index, and the "pull" model, where an indexer retrieves data from a data source and loads it. These are the two standard ways to create and populate JSON documents in an Azure AI Search index.
Why each option is right or wrong
A. Push method and Pull method
Azure AI Search exposes two indexing paths: the REST API/SDK ingestion path, where your application submits JSON documents directly to an index, and the indexer path, where a configured indexer reads from a supported data source and populates the index automatically. In Microsoft’s terminology, these are the push and pull models, respectively; the distinction is built into the service’s indexing architecture rather than a feature flag or optional setting.
B. Export method and Import method
C. REST API method and SDK method
D. Source method and Target method