Answer-first summary for fast verification
Answer: All of the above
Managing Knowledge Store projections in Azure AI Search allows you to store and analyze the enriched data in different formats. File projections store the data as files in Azure Blob Storage, which can be accessed and analyzed using external tools such as data visualization or machine learning platforms. Object projections store the data as JSON objects in Azure Blob Storage, providing a structured format that can be easily processed and consumed by other applications or services. Table projections store the data in Azure Table Storage, enabling you to query and analyze the data using SQL-like syntax, making it suitable for applications that require relational data access. Each type of projection has its own use cases and can be chosen based on the specific requirements of your application or analysis needs.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
Managing Knowledge Store projections is a key feature of Azure AI Search, allowing you to store and analyze the enriched data. Describe the different types of projections you can create in a Knowledge Store, including file, object, and table projections, and explain their use cases.
A
File projections store the enriched data as files in Azure Blob Storage, allowing you to access and analyze the data using external tools.
B
Object projections store the enriched data as JSON objects in Azure Blob Storage, providing a structured format for further processing.
C
Table projections store the enriched data in Azure Table Storage, enabling you to query and analyze the data using SQL-like syntax.
D
All of the above
No comments yet.