Cross-database queries are supported by SQL Server, for example on an Azure virtual machine, and also supported by an Azure SQL Managed Instance.
https://docs.microsoft.com/en-us/azure/azure-sql/database/elastic-query-getting-started- vertical?view=azuresql

Explanation:
Box 1: Infrastructure encryption
Enable infrastructure encryption for double encryption of data
Infrastructure encryption can be enabled for the entire storage account, or for an encryption scope within an account. When infrastructure encryption is enabled for a storage account or an encryption scope, data is encrypted twice - once at the service level and once at the infrastructure level - with two different encryption algorithms and two different keys.
Double encryption of Azure Storage data protects against a scenario where one of the encryption algorithms or keys might be compromised. In this scenario, the additional layer of encryption continues to protect your data.
Box 2: Allow access from
In Firewalls and virtual networks set Allow access from: to Allow public access from specific virtual networks and IP addresses.
Under Exception, check Allow trusted Microsoft services to bypass this firewall.
Reference:
https://learn.microsoft.com/en-us/azure/storage/common/infrastructure-encryption-enable
https://learn.microsoft.com/en-us/azure/databricks/connect/storage/tutorial-azure-storage

Explanation:
Box 1: A OneLake shortcut
Link your Dataverse environment to Microsoft Fabric and unlock deep insights With shortcuts from Dataverse directly into OneLake, your data stays in Dataverse while authorized users get to work with data in Fabric.
Box 2: A SQL analytics endpoint
Work with Dataverse data and generate Power BI reports
You can work with Dataverse data in Fabric and generate reports in Power BI.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/azure-synapse-link-view-in- fabric

Reference:
https://learn.microsoft.com/en-us/azure/backup/multi-user-authorization-concept

Explanation:
Box 1: Install a self-hosted integration runtime
The Integration Runtime is a customer-managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.
Box 2: Create a pipeline
With ADF, existing data processing services can be composed into data pipelines that are highly available and managed in the cloud. These data pipelines can be scheduled to ingest, prepare, transform, analyze, and publish data, and ADF manages and orchestrates the complex data and processing dependencies References:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql- azure-adf