Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Storage account that contains two 1-GB data files named File1 and File2. The data files are set to use the archive access tier.
You need to ensure that File1 is accessible immediately when a retrieval request is initiated.
Solution: You move File1 to a new storage account. For File1, you set Access tier to Archive.
Does this meet the goal?
You are designing an order processing system in Azure that will contain the Azure resources shown in the following table.
The order processing system will have the following transaction flow:
✑ A customer will place an order by using App1.
✑ When the order is received, App1 will generate a message to check for product availability at vendor 1 and vendor 2.
✑ An integration component will process the message, and then trigger either Function1 or Function2 depending on the type of order.
✑ Once a vendor confirms the product availability, a status message for App1 will be generated by Function1 or Function2.
✑ All the steps of the transaction will be logged to storage1.
Which type of resource should you recommend for the integration component?
Correct Answer:
A
A data factory can have one or more pipelines. A pipeline is a logical grouping of activities that together perform a task.
The activities in a pipeline define actions to perform on your data.
Data Factory has three groupings of activities: data movement activities, data transformation activities, and control activities.
Azure Functions is now integrated with Azure Data Factory, allowing you to run an Azure function as a step in your data factory pipelines.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities
HOTSPOT -
You have an existing implementation of Microsoft SQL Server Integration Services (SSIS) packages stored in an SSISDB catalog on your on-premises network.
The on-premises network does not have hybrid connectivity to Azure by using Site-to-Site VPN or ExpressRoute.
You want to migrate the packages to Azure Data Factory.
You need to recommend a solution that facilitates the migration while minimizing changes to the existing packages. The solution must minimize costs.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Correct Answer:
Box 1: Azure SQL database -
You can't create the SSISDB Catalog database on Azure SQL Database at this time independently of creating the Azure-SSIS Integration Runtime in Azure Data
Factory. The Azure-SSIS IR is the runtime environment that runs SSIS packages on Azure.
Box 2: Azure-SQL Server Integration Service Integration Runtime and self-hosted integration runtime
The Integration Runtime (IR) is the compute infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments. Azure-SSIS Integration Runtime (IR) in Azure Data Factory (ADF) supports running SSIS packages.
Self-hosted integration runtime can be used for data movement in this scenario.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/create-azure-integration-runtime https://docs.microsoft.com/en-us/sql/integration-services/lift-shift/ssis-azure-connect-to-catalog-database
You have 70 TB of files on your on-premises file server.
You need to recommend solution for importing data to Azure. The solution must minimize cost.
What Azure service should you recommend?
Correct Answer:
C
Microsoft has engineered an extremely powerful solution that helps customers get their data to the Azure public cloud in a cost-effective, secure, and efficient manner with powerful Azure and machine learning at play. The solution is called Data Box.
Data Box and is in general availability status. It is a rugged device that allows organizations to have 100 TB of capacity on which to copy their data and then send it to be transferred to Azure.
Incorrect Answers:
A: StoreSimple would not be able to handle 70 TB of data.
Reference:
https://www.vembu.com/blog/what-is-microsoft-azure-data-box-disk-edge-heavy-gateway-overview/
