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Monitoring, Optimization, and Performance Flashcards
Microsoft Azure Developer Associate AZ-204 Flashcards
| Front | Back |
| How can you reduce Azure costs while optimizing performance | By using autoscaling, monitoring resource usage, and employing reserved instances. |
| How do Azure Monitor alerts work | They notify you when certain conditions are met based on metrics or logs. |
| How do you visualize monitoring data in Azure Monitor | By creating dashboards and using workbooks. |
| How does cost optimization work with Azure Monitor | By identifying underutilized resources and recommending scaling options. |
| How does Log Analytics support monitoring | By collecting, analyzing, and querying data from Azure and on-premises resources. |
| What is Application Insights | A tool in Azure for monitoring, diagnosing, and analyzing application performance and usage. |
| What is the main benefit of using Application Insights with Azure Functions | It provides detailed telemetry automatically for serverless applications. |
| What is the purpose of dependency tracking in Application Insights | To monitor external services and APIs used by the application. |
| What is the purpose of live metrics in Application Insights | To provide near real-time information on application health and performance. |
| What is the significance of thresholds in performance monitoring | They define acceptable limits to identify anomalies or issues. |
| What metrics can Application Insights collect | Request rates, response times, failures, dependency data, and custom metrics. |
| What query language is used by Log Analytics | KQL (Kusto Query Language). |
| What type of data can be centralized in Log Analytics | Logs, metrics, performance counters, and diagnostic data. |
| Why are retention policies important for monitoring data | They manage storage costs and ensure relevant data is kept. |
| Why should you use custom logging in applications | To provide specific insights into custom application operations. |
Front
What query language is used by Log Analytics
Click the card to flip
Back
KQL (Kusto Query Language).
Front
What is the significance of thresholds in performance monitoring
Back
They define acceptable limits to identify anomalies or issues.
Front
How do Azure Monitor alerts work
Back
They notify you when certain conditions are met based on metrics or logs.
Front
Why should you use custom logging in applications
Back
To provide specific insights into custom application operations.
Front
How can you reduce Azure costs while optimizing performance
Back
By using autoscaling, monitoring resource usage, and employing reserved instances.
Front
Why are retention policies important for monitoring data
Back
They manage storage costs and ensure relevant data is kept.
Front
What is Application Insights
Back
A tool in Azure for monitoring, diagnosing, and analyzing application performance and usage.
Front
What is the main benefit of using Application Insights with Azure Functions
Back
It provides detailed telemetry automatically for serverless applications.
Front
What metrics can Application Insights collect
Back
Request rates, response times, failures, dependency data, and custom metrics.
Front
What type of data can be centralized in Log Analytics
Back
Logs, metrics, performance counters, and diagnostic data.
Front
What is the purpose of dependency tracking in Application Insights
Back
To monitor external services and APIs used by the application.
Front
What is the purpose of live metrics in Application Insights
Back
To provide near real-time information on application health and performance.
Front
How does Log Analytics support monitoring
Back
By collecting, analyzing, and querying data from Azure and on-premises resources.
Front
How does cost optimization work with Azure Monitor
Back
By identifying underutilized resources and recommending scaling options.
Front
How do you visualize monitoring data in Azure Monitor
Back
By creating dashboards and using workbooks.
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This deck provides information on monitoring applications in Azure using services like Application Insights and Log Analytics and optimizing application performance and costs.