nerdexam
Microsoft

AI-102 · Question #344

You have the following data sources: - Finance: On-premises Microsoft SQL Server database - Sales: Azure Cosmos DB using the Core (SQL) API - Logs: Azure Table storage - HR: Azure SQL database You…

The correct answer is C. Export the data in Finance to Azure Data Lake Storage. To search across multiple data sources using Azure AI Search, all data needs to be accessible to the Azure Search service. The on-premises Finance data (hosted in Microsoft SQL Server) cannot be directly indexed by Azure Cognitive Search because it is on-premises. The best…

Submitted by haru.x· Mar 30, 2026Implement knowledge mining and information extraction solutions

Question

You have the following data sources: - Finance: On-premises Microsoft SQL Server database - Sales: Azure Cosmos DB using the Core (SQL) API - Logs: Azure Table storage - HR: Azure SQL database You need to ensure that you can search all the data by using the Azure AI Search REST API. What should you do?

Options

  • AMigrate the data in HR to Azure Blob storage.
  • BMigrate the data in HR to the on-premises SQL server.
  • CExport the data in Finance to Azure Data Lake Storage.
  • DMigrate the data in Sales to the MongoDB API.

How the community answered

(29 responses)
  • A
    7% (2)
  • B
    14% (4)
  • C
    76% (22)
  • D
    3% (1)

Explanation

To search across multiple data sources using Azure AI Search, all data needs to be accessible to the Azure Search service. The on-premises Finance data (hosted in Microsoft SQL Server) cannot be directly indexed by Azure Cognitive Search because it is on-premises. The best approach is to mirror Finance to an Azure SQL database, which can be indexed by Azure Cognitive Search alongside the other Azure-hosted data sources (Sales, Logs, and HR).

Topics

#Azure AI Search#indexers#data sources#Azure Data Lake Storage

Community Discussion

No community discussion yet for this question.

Full AI-102 Practice