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. |
About the Flashcards
Flashcards for the Microsoft Azure Developer Associate exam reinforce essential monitoring and performance concepts across Azure services. Each card delivers concise explanations of tools like Application Insights and Log Analytics, helping you quickly recall what data they collect, how telemetry is queried with KQL, and why live metrics matter when troubleshooting production workloads.
The deck also prepares you to answer exam questions on visualizing insights with dashboards and workbooks, configuring alerts and thresholds, and applying cost-saving tactics such as autoscaling and reserved instances. By reviewing these terms and best practices, you'll build confidence in optimizing resource performance, tracking dependencies, and setting effective data retention policies.
Topics covered in this flashcard deck:
- Azure Monitor fundamentals
- Application Insights telemetry
- Log Analytics & KQL
- Cost optimization strategies
- Alerts, thresholds, retention