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…

QuestionsCategory: AZ-204HOTSPOT – 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…
Admin Staff asked 4 months ago
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:
 Image
















 

Suggested Answer: 
    Correct Answer Image

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/

This question is in AZ-204: Developing Solutions for Microsoft Azure Exam
For getting Microsoft Azure Developer Associate Certificate


Disclaimers:
The website is not related to, affiliated with, endorsed or authorized by Microsoft. 
The website does not contain actual questions and answers from Microsoft's Certification Exams.
Trademarks, certification & product names are used for reference only and belong to Microsoft.

Recommended

Welcome Back!

Login to your account below

Create New Account!

Fill the forms below to register

Retrieve your password

Please enter your username or email address to reset your password.