Microsoft Azure AI Engineer Associate AI-102 Practice Question
You configure an Azure AI Search indexer that enriches PDF invoices with a skillset and writes results to a knowledge store. The finance team plans to connect Power BI to the enrichment output to build interactive reports that depend on relational, row-based data and support incremental refresh. Which knowledge store projection type should you define to satisfy these requirements?
Table projection
File projection
Do not define any projection and query the search index directly
Table projections convert hierarchical enrichment output into flat, row-and-column structures that are stored in Azure Table Storage. Power BI can then treat each projection as a relational table, making it straightforward to model data, build visuals, and configure incremental refresh policies. File projections save binary or text files to Blob Storage, while object projections persist hierarchical JSON objects for document databases such as Azure Cosmos DB. Omitting projections means the enrichment output is not persisted outside the search index, preventing direct consumption by Power BI.
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Microsoft Azure AI Engineer Associate AI-102
Implement knowledge mining and information extraction solutions
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