Step 1: Azure Connectors, Connect to Microsoft Dataverse from workflows in Azure Logic Apps To create and run automated workflows that create and manage rows in your Microsoft Dataverse database, you can use Azure Logic Apps and the Microsoft Dataverse connector.
These workflows can create rows, update rows, and perform other operations. *You can also get information from your Dataverse database and make the output available for other actions to use in your workflows*. For example, when a row is added, updated, or deleted in your Dataverse database, you can send an email by using the Office 365 Outlook connector.
Step 2: Azure Connectors, Process and create Azure Cosmos DB documents using Azure Logic Apps From your workflow in Azure Logic Apps, you can connect to Azure Cosmos DB and work with documents by using the Azure Cosmos DB connector. This connector provides triggers and actions that your workflow can use for Azure Cosmos DB operations. For example, actions include creating or updating, reading, querying, and deleting documents.
Add Azure Cosmos DB action
In Azure Logic Apps, an action is a step in your workflow that follows a trigger or another action.
The Azure Cosmos DB connector offers actions for both the Logic App (Consumption) and Logic App (Standard) resource types.
Reference:
https://learn.microsoft.com/en-us/azure/connectors/connect-common-data-service
https://learn.microsoft.com/en-us/azure/connectors/connectors-create-api-cosmos-db

The Microsoft documentation clearly gives the steps for this. One of them is to ensure the identity deploying the template has the right permissions. This can be done with the help of Role based access.

Reference:
https://docs.microsoft.com/en-us/azure/azure-resource-manager/resource-manager-keyvault- parameter

Explanation:
Box 1: Azure Backup
The backup of drive P must be application-consistent.
Azure Backup can be used for application-consistent backups of Azure VMs. Azure Backup creates recovery points that ensure all data required to restore the backup is available, including application data, Box 2: An enhanced policy that has selective disk backup enabled.
The backup of drive S must be crash-consistent.
For Azure crash-consistent backups, utilize the agentless multi-disk restore points feature of Azure Backup. This feature, available with the Enhanced VM backup policy, allows for backups of all disks attached to a VM without requiring agents or quiescing VM I/O for extended periods.
Azure Backup supports agentless VM backups by using multi-disk crash-consistent restore points (preview). The Enhanced VM backup policy now enables you to configure the consistency type of the backups (application-consistent restore points or crash-consistent restore points preview) for Azure VMs.
Reference:
https://learn.microsoft.com/en-us/azure/backup/backup-azure-vms-introduction
https://learn.microsoft.com/en-us/azure/backup/backup-azure-vms-agentless-multi-disk-crash- consistent-overview

Explanation:
Box 1: Azure Network Watcher
Traffic Analytics is a cloud-based solution that provides visibility into user and application activity in cloud networks. Traffic analytics analyzes Network Watcher network security group (NSG) flow logs to provide insights into traffic flow in your Azure cloud. With traffic analytics, you can:
Identify security threats to, and secure your network, with information such as open-ports, applications attempting internet access, and virtual machines (VM) connecting to rogue networks.
Visualize network activity across your Azure subscriptions and identify hot spots. Understand traffic flow patterns across Azure regions and the internet to optimize your network deployment for performance and capacity.
Pinpoint network misconfigurations leading to failed connections in your network.
Box 2: Azure Service Map
Service Map automatically discovers application components on Windows and Linux systems and maps the communication between services. With Service Map, you can view your servers in the way that you think of them: as interconnected systems that deliver critical services. Service Map shows connections between servers, processes, inbound and outbound connection latency, and ports across any TCP-connected architecture, with no configuration required other than the installation of an agent.
Reference:
https://docs.microsoft.com/en-us/azure/network-watcher/traffic-analytics
https://docs.microsoft.com/en-us/azure/azure-monitor/insights/service-map

Big data requires a service that can orchestrate and operationalize processes to refine these enormous stores of raw data into actionable business insights. Azure Data Factory is a managed cloud service that's built for these complex hybrid extract-transform-load (ETL), extract-load- transform (ELT), and data integration projects.
https://learn.microsoft.com/en-us/azure/data-factory/introduction