nerdexam
Cisco

500-425 · Question #37

The applications and servers are running normally What are two important reasons for the engineer to view and analyze server performance data at this time? (Choose two.)

The correct answer is A. Visualizing application performance during normal operations helps identify when the application B. Graphs and charts collected at this time are useful for showing application owners the stability of. 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…

AppDynamics Platform Fundamentals

Question

The applications and servers are running normally What are two important reasons for the engineer to view and analyze server performance data at this time? (Choose two.)

Options

  • AVisualizing application performance during normal operations helps identify when the application
  • BGraphs and charts collected at this time are useful for showing application owners the stability of
  • CCollecting Server metric performance during normal operations helps determine code problems
  • DCollecting the errors during this period will identify memory problems in the application.

How the community answered

(15 responses)
  • A
    93% (14)
  • D
    7% (1)

Explanation

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. 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.

Topics

#server performance#baseline#normal operations#performance monitoring

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