500-425 - Cisco AppDynamics Associate Administrator

A health rule violation canceled warning event or a health rule violation canceled critical event is generated when the health rule processor can no longer accurately assert that the health rule violation continues to violate or that it has ended1. This can happen when the health rule is edited or disabled, among other reasons1. Adding a new condition to the health rule or disabling the health rule are two actions that would trigger a health rule violation canceled event, as they would change the evaluation criteria or stop the evaluation altogether1. Marking the health rule as canceled or removing the health rule from a policy are not valid actions, as they do not affect the health rule configuration or status

https://docs.appdynamics.com/appd/22.x/22.1/en/appdynamics-essentials/alert-and-respond/troubleshoot-health-rule-violations

Server performance data is the information that AppDynamics collects and reports about the health and availability of the servers that host your applications and their components. Server performance data includes metrics such as CPU utilization, memory usage, disk I/O, network traffic, and so on. You can use server performance data to monitor and troubleshoot the performance issues of your servers and applications.

According to the Server Visibility - AppDynamics, the following two reasons are important for the engineer to view and analyze server performance data at this time:

• Visualizing application performance during normal operations helps identify when the application performance is abnormal: This means that by comparing the current server performance data with the historical or baseline data, you can detect any anomalies or deviations that may indicate a potential problem or degradation of your application performance. For example, you can use the Server Dashboard to see the current and historical trends of the server metrics, and use the Anomaly Detection feature to identify any outliers or unusual patterns.
• Graphs and charts collected at this time are useful for showing application owners the stability of their application: This means that by using the graphical and visual representations of the server performance data, you can communicate and demonstrate the reliability and efficiency of your application to the stakeholders and customers. For example, you can use the Server Health Report to generate a summary of the server health status, availability, and performance over a specified time period, and share it with the application owners.

Therefore, A (Visualizing application performance during normal operations helps identify when the application performance is abnormal) and B (Graphs and charts collected at this time are useful for showing application owners the stability of their application) are two important reasons for the engineer to view and analyze server performance data at this time. References:

• Server Visibility - AppDynamics
• Cisco AppDynamics Associate Administrator Certification
• Server Monitoring - AppDynamics

Business Transaction metrics are the key performance indicators that measure the health and performance of your applications. They include metrics such as average response time, calls per minute, errors per minute, and so on. You can use various types of performance degradation analysis to identify and troubleshoot the root causes of performance issues using Business Transaction metrics.

According to the Troubleshoot Business Transactions - AppDynamics, the following types of performance degradation analysis are used with Business Transaction metrics:

• Correlation Analysis: This type of analysis helps you to find the correlation between different metrics and events that may affect the performance of your Business Transactions. For example, you can use the correlation analysis to see how the response time of a Business Transaction is related to the CPU utilization of a node, or how the error rate of a Business Transaction is related to the number of slow database calls.
• Remote Services Analysis: This type of analysis helps you to understand how the performance of your Business Transactions is impacted by the calls to remote services, such as databases, web services, message queues, and so on. For example, you can use the remote services analysis to see the response time, call count, error count, and wait time of each remote service call, and drill down to the details of each call.
• Compare Releases: This type of analysis helps you to compare the performance of your Business Transactions across different releases of your application. For example, you can use the compare releases analysis to see how the response time, error rate, and throughput of your Business Transactions have changed after a new deployment, and identify any performance regressions or improvements.

Therefore, A (Correlation Analysis), B (Remote Services Analysis), and E (Compare Releases) are three types of performance degradation analysis that are used with Business Transaction metrics. References:

• Troubleshoot Business Transactions - AppDynamics
• Business Transaction - AppDynamics
• Cisco AppDynamics Associate Performance Analyst Certification