Explanation:
Box 1: Smart lockout
Smart lockout helps lock out bad actors that try to guess your users' passwords or use brute- force methods to get in. Smart lockout can recognize sign-ins that come from valid users and treat them differently than ones of attackers and other unknown sources. Attackers get locked out, while your users continue to access their accounts and be productive.
Box 2: Conditional access policies
If your environment is ready to block legacy authentication to improve your tenant's protection, you can accomplish this goal with Conditional Access.
How can you prevent apps using legacy authentication from accessing your tenant's resources?
The recommendation is to just block them with a Conditional Access policy. If necessary, you allow only certain users and specific network locations to use apps that are based on legacy authentication.
Reference:
https://docs.microsoft.com/en-us/azure/active-directory/authentication/howto-password-smart- lockout
https://docs.microsoft.com/en-us/azure/active-directory/conditional-access/block-legacy- authentication

Explanation:
Box 1: An Azure Log Analytics workspace
To be able to create an alert we send the Azure AD logs to An Azure Log Analytics workspace.
Note: You can forward your AAD logs and events to either an Azure Storage Account, an Azure Event Hub, Log Analytics, or a combination of all of these.
Box 2: Log
Ensure Resource Type is an analytics source like Log Analytics or Application Insights and signal type as Log.
Reference:
https://4sysops.com/archives/how-to-create-an-azure-ad-admin-login-alert/
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/alerts-log

Explanation:
Box 1: No
PA1 is assigned to the MG1 management group.
Sub2 and Sub4 is in MG1.
PA1 will evaluated resources in Sub4 as well (though no further information is available on resources in Sub4).
Box 2: Yes
Modify PA2 and configure the resource selector to include only
Microsoft.Compute/virtualMachines in the East US Azure region.
Box 3: No
Modify PA3 and add an exclusion for Sub1.
Sub1 includes VM3.

Yes, the Standard App service plan does support Autoscaling and would be the most cost- effective App service plan for this purpose.

Reference:
https://azure.microsoft.com/en-us/pricing/details/app-service/plans/

Explanation:
Box 1: Log Analytics
Log Analytics can be used to monitor an Azure app to measure user experience and analyze user behavior. By leveraging Azure Monitor Logs and Log Analytics, you can collect and analyze data related to user interactions, performance, and overall app health, providing insights into user behavior and experience.
Box 2: Application Insights
Azure Application Insights, part of Azure Monitor, is used to collect and analyze telemetry data from applications, including request rates, failure rates, and other performance metrics. This data helps you monitor application health, identify performance issues, and troubleshoot errors.
Reference:
https://learn.microsoft.com/en-us/azure/azure-monitor/app/usage
https://learn.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview