You plan to create alerts that will be triggered based on the page load performance of a home page.
You have the Application Insights log query shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Correct answer: To work with this question, an Exam Simulator is required.
Explanation:
Box 1: percentile_duration_95 Box 2: success For example – requests | project name, url, success | where success == "False" This will return all the failed requests in my App Insights within the specified time range. Reference: https://devblogs.microsoft.com/premier-developer/alerts-based-on-analytics-query-using-custom-log-search/
Box 1: percentile_duration_95
Box 2: success
For example –
requests
| project name, url, success
| where success == "False"
This will return all the failed requests in my App Insights within the specified time range.
You manage an Azure web app that supports an e-commerce website.
You need to increase the logging level when the web app exceeds normal usage patterns. The solution must minimize administrative overhead.
Which two resources should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
an Azure Automation runbook
an Azure Monitor alert that has a dynamic threshold
an Azure Monitor alert that has a static threshold
the Azure Monitor autoscale settings
an Azure Monitor alert that uses an action group that has an email action
Correct answer: AB
Explanation:
B: Metric Alert with Dynamic Thresholds detection leverages advanced machine learning (ML) to learn metrics' historical behavior, identify patterns and anomalies that indicate possible service issues. It provides support of both a simple UI and operations at scale by allowing users to configure alert rules through the Azure Resource Manager API, in a fully automated manner. A: You can use Azure Monitor to monitor base-level metrics and logs for most services in Azure. You can call Azure Automation runbooks by using action groups or by using classic alerts to automate tasks based on alerts. Reference: https://docs.microsoft.com/en-us/azure/azure-monitor/platform/alerts-dynamic-thresholds https://docs.microsoft.com/en-us/azure/automation/automation-create-alert-triggered-runbook
B: Metric Alert with Dynamic Thresholds detection leverages advanced machine learning (ML) to learn metrics' historical behavior, identify patterns and anomalies that indicate possible service issues. It provides support of both a simple UI and operations at scale by allowing users to configure alert rules through the Azure Resource Manager API, in a fully automated manner.
A: You can use Azure Monitor to monitor base-level metrics and logs for most services in Azure. You can call Azure Automation runbooks by using action groupsor by using classic alerts to automate tasks based on alerts.
You need to configure a probe to perform the following actions:
Confirm that the pod is responding to service requests.
Check the status of the pod four times a minute.
Initiate a shutdown if the pod is unresponsive.
How should you complete the YAML configuration file? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct answer: To work with this question, an Exam Simulator is required.
Explanation:
Box 1: readinessProbe: 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. Incorrect Answers: livenessProbe: Containerized applications may run for extended periods of time, resulting in broken states that may need to be repaired by restarting the container. Azure Container Instances supports liveness probes so that you can configure your containers within your container group to restart if critical functionality is not working. Box 2: periodSeconds: 15 The periodSeconds property designates the readiness command should execute every 15 seconds. Reference: https://docs.microsoft.com/en-us/azure/container-instances/container-instances-readiness-probe
Box 1: readinessProbe:
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.
Incorrect Answers:
livenessProbe: Containerized applications may run for extended periods of time, resulting in broken states that may need to be repaired by restarting the container. Azure Container Instances supports liveness probes so that you can configure your containers within your container group to restart if critical functionality is not working.
Box 2: periodSeconds: 15
The periodSeconds property designates the readiness command should execute every 15 seconds.