Multi-Factor Authentication (MFA) enhances security by requiring users to provide multiple forms of verification before granting access, adding an extra layer of protection to identity and access management.

The consistency level in Azure Cosmos DB impacts the trade-off between data consistency and availability, allowing users to choose the desired balance based on application requirements.

Azure Policy enforces rules and standards, ensuring that resources deployed in Azure adhere to organizational compliance requirements. It helps maintain a compliant environment.

Azure Machine Learning facilitates automated scaling, allowing seamless handling of machine learning workloads at scale. This ensures optimal resource utilization and performance.

In RBAC, 'Roles' define permissions assigned to users or applications, while 'Groups' define membership, aiding in efficient management of access control.

Conditional Access policies in Azure IAM allow organizations to enforce access controls based on user behavior, enhancing security by adapting access policies dynamically.

The Azure SQL Database Basic service tier is tailored for lightweight, less demanding workloads, offering a cost-effective solution for such scenarios.

Azure Resource Groups are used to organize and manage Azure resources effectively. They provide a way to manage and apply policies and access control to a group of resources. Virtual Networks, Azure Active Directory, and Azure Key Vault serve different purposes in Azure.

A combination of Azure Policy, Azure Blueprints, and Azure Automation provides a comprehensive governance framework covering policy enforcement, compliance monitoring, and automated resource deployment.

Network Security Groups (NSG) primarily function to filter and control incoming and outgoing traffic to and from Azure resources, enhancing security through rule-based access control.