Exam AZ-204 topic 3 question 29 discussion

HOTSPOT -
You are developing a solution to store documents in Azure Blob storage. Customers upload documents to multiple containers. Documents consist of PDF, CSV,
Microsoft Office format and plain text files.
The solution must process millions of documents across hundreds of containers. The solution must meet the following requirements:
✑ Documents must be categorized by a customer identifier as they are uploaded to the storage account.
✑ Allow filtering by the customer identifier.
✑ Allow searching of information contained within a document
✑ Minimize costs.
You create and configure a standard general-purpose v2 storage account to support the solution.
You need to implement the solution.
What should you implement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

Suggested Answer:
Box 1: Azure Blob index tags -
As datasets get larger, finding a specific object in a sea of data can be difficult. Blob index tags provide data management and discovery capabilities by using key- value index tag attributes. You can categorize and find objects within a single container or across all containers in your storage account. As data requirements change, objects can be dynamically categorized by updating their index tags. Objects can remain in-place with their current container organization.

Box 2: Azure Cognitive Search -
Only index tags are automatically indexed and made searchable by the native Blob Storage service. Metadata can't be natively indexed or searched. You must use a separate service such as Azure Search.
Azure Cognitive Search is the only cloud search service with built-in AI capabilities that enrich all types of information to help you identify and explore relevant content at scale. Use cognitive skills for vision, language, and speech, or use custom machine learning models to uncover insights from all types of content.
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-manage-find-blobs https://azure.microsoft.com/en-us/services/search/