How can you ensure Microsoft Word documents in an Azure Storage blob can be accessed by Azure Cognitive Search?

To ensure that Microsoft Word documents in an Azure Storage blob can be accessed by Azure Cognitive Search, creating a data source within Azure Cognitive Search that references the blob container is essential. This data source acts as a bridge between the unstructured data stored in the blob and the Cognitive Search service.

When you define a data source in Azure Cognitive Search, you specify the storage account and the container where your documents are stored. This allows Azure Cognitive Search to scan the documents, extract meaningful information, and index it effectively for search capabilities. The connection set up through the data source includes necessary configurations, such as how to connect to the Azure Storage and the specifics of the data to be indexed.

Additionally, using a data source enables automated indexing, meaning that if new documents are added to the blob, Azure Cognitive Search can automatically update its index to include these new entries based on the defined schedule.

Though other options might seem relevant, they do not directly facilitate the effective indexing of documents for search. For instance, simply adding a JSON file does not create an active link to the data in the blob. Enabling anonymous access is not advisable due to potential security risks, and using a separate search index would not inherently link to the documents in the blob without a data source that