Explanation:
Box 1: Azure SQL Database
Box 2: Active geo-replication
If you need to create multiple Azure SQL Database geo-secondary replicas (in the same or different regions) for the same primary replica, use active geo-replication.
https://learn.microsoft.com/en-us/azure/azure-sql/database/auto-failover-group-sql- db?tabs=azure-powershell&view=azuresql

Explanation:
Box 1: Modify
Modify is used to add, update, or remove properties or tags on a resource during creation or update. A common example is updating tags on resources such as costCenter. Existing non- compliant resources can be remediated with a remediation task. A single Modify rule can have any number of operations.
Box 2: A managed identity with the Contributor role
Managed identity
How remediation security works: When Azure Policy runs the template in the deployIfNotExists policy definition, it does so using a managed identity. Azure Policy creates a managed identity for each assignment, but must have details about what roles to grant the managed identity.
Contributor role
The Contributor role grants the required access to apply tags to any entity.
Reference:
https://docs.microsoft.com/en-us/azure/governance/policy/concepts/effects
https://docs.microsoft.com/en-us/azure/governance/policy/how-to/remediate-resources
https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/tag-resources
https://docs.microsoft.com/en-us/azure/governance/policy/concepts/effects#modify

This is a classic Azure data ingestion pattern: use an Azure Storage Account (Blob/Data Lake) as a landing zone, trigger an Azure Function (your app) with a Storage Event Trigger when files arrive, have the Function process data and load it into Azure Synapse Analytics (SQL Pool/Spark), all orchestrated via Azure Data Factory (ADF) for seamless data flow.
Here's the breakdown of your architecture and how Azure services fit:
Azure Storage Account (Blob/Data Lake Gen2): Acts as the raw data repository (your container) for incoming files from various sources, providing scalable, cost-effective storage.
Your App (Azure Function): This custom code (C#, Python, etc.) runs serverlessly. It's triggered by new file events in the container to fetch, transform, and load data.
*-> Azure Data Factory (ADF): Orchestrates the whole process, defining the pipeline that includes the trigger and potentially data movement activities.
Azure Synapse Analytics Workspace: The destination for processed, structured data, enabling analytics, reporting, and BI.
Reference:
https://learn.microsoft.com/en-us/azure/data-factory/how-to-create-event-trigger

Explanation:
Box 1: A server in the same paired region
The contents of your key vault are replicated within the region and to a secondary region at least
150 miles away, but within the same geography to maintain high durability of your keys and secrets.
Box 2: Delete
During failover, your key vault is in read-only mode. Requests that are supported in this mode are:
* List certificates
* Get certificates
* List secrets
* Get secrets
* List keys
* Get (properties of) keys
* Encrypt
* Decrypt
* Wrap
* Unwrap
* Verify
* Sign
* Backup
Reference:
https://docs.microsoft.com/en-us/azure/key-vault/general/disaster-recovery-guidance

Explanation:
Box 1: The root management group
When creating a blueprint definition, you'll define where the blueprint is saved. Blueprints can be saved to a management group or subscription that you have Contributor access to. If the location is a management group, the blueprint is available to assign to any child subscription of that management group.
Box 2: Subscriptions
Assigning a blueprint definition to a management group means the assignment object exists at the management group. The deployment of artifacts still targets a subscription.
Reference:
https://docs.microsoft.com/en-us/azure/governance/blueprints/overview
https://docs.microsoft.com/en-us/azure/governance/management-groups/overview
https://docs.microsoft.com/en-us/azure/governance/blueprints/overview#blueprint-assignment