Free AZ-400 Exam Braindumps (page: 21)

Page 21 of 128

You configure an Azure Application Insights availability test.

You need to notify the customer services department at your company by email when availability is degraded. You create an Azure logic app that will handle the email and follow up actions.
Which type of trigger should you use to invoke the logic app?

  1. an HTTPWebhook trigger
  2. an HTTP trigger
  3. a Request trigger
  4. an ApiConnection trigger

Answer(s): C

Explanation:

You can use webhooks to route an Azure alert notification to other systems for post-processing or custom actions. You can use a webhook on an alert to route it to services that send SMS messages, to log bugs, to notify a team via chat or messaging services, or for various other actions.


Reference:

https://docs.microsoft.com/en-us/azure/azure-monitor/platform/alerts-webhooks



You have an Azure DevOps organization named Contoso and an Azure subscription.

You use Azure DevOps to build a containerized app named App1 and deploy App1 to an Azure container instance named ACI1. You need to restart ACI1 when App1 stops responding.
What should you do?

  1. Add a liveness probe to the YAML configuration of App1.
  2. Add a readiness probe to the YAML configuration of App1.
  3. Use Connection Monitor in Azure Network Watcher.
  4. Use IP flow verify in Azure Network Watcher.

Answer(s): A

Explanation:

For containerized applications that serve traffic, you might want to verify that your container is ready to handle incoming requests. Azure Container Instances supports readiness probes to include configurations so that your container can't be accessed under certain conditions. The readiness probe behaves like a Kubernetes readiness probe. For example, a container app might need to load a large data set during startup, and you don't want it to receive requests during this time.
YAML is used to setup a liveness probe.


Reference:

https://docs.microsoft.com/en-us/azure/container-instances/container-instances-readiness-probe



You have a multi-tier application that has an Azure Web Apps front end and an Azure SQL Database back end.

You need to recommend a solution to capture and store telemetry data. The solution must meet the following requirements:
-Support using ad-hoc queries to identify baselines.
-Trigger alerts when metrics in the baseline are exceeded.
-Store application and database metrics in a central location.

What should you include in the recommendation?

  1. Azure Event Hubs
  2. Azure SQL Database Intelligent Insights
  3. Azure Application Insights
  4. Azure Log Analytics

Answer(s): D

Explanation:

Azure Platform as a Service (PaaS) resources, like Azure SQL and Web Sites (Web Apps), can emit performance metrics data natively to Log Analytics.
The Premium plan will retain up to 12 months of data, giving you an excellent baseline ability.
There are two options available in the Azure portal for analyzing data stored in Log analytics and for creating queries for ad hoc analysis.

Incorrect Answers:
B: Intelligent Insights analyzes database performance by comparing the database workload from the last hour with the past seven-day baseline workload. However, we need handle application metrics as well.


Reference:

https://docs.microsoft.com/en-us/azure/azure-monitor/platform/collect-azurepass-posh



You have an Azure DevOps organization named Contoso and an Azure subscription. The subscription contains an Azure virtual machine scale set named VMSS1 that is configured for autoscaling.

You use Azure DevOps to build a web app named App1 and deploy App1 to VMSS1. App1 is used heavily and has usage patterns that vary on a weekly basis.

You need to recommend a solution to detect an abnormal rise in the rate of failed requests to App1. The solution must minimize administrative effort. What should you include in the recommendation?

  1. the Smart Detection feature in Azure Application Insights
  2. the Failures feature in Azure Application Insights
  3. an Azure Service Health alert
  4. an Azure Monitor alert that uses an Azure Log Analytics query

Answer(s): A

Explanation:

After setting up Application Insights for your project, and if your app generates a certain minimum amount of data, Smart Detection of failure anomalies takes 24 hours to learn the normal behavior of your app, before it is switched on and can send alerts.


Reference:

https://docs.microsoft.com/en-us/azure/azure-monitor/app/proactive-failure-diagnostics



Page 21 of 128



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