When troubleshooting an application using AppDynamics. which order would help narrow down a code problem with a specific business transaction
the fastest?
Answer : A
When troubleshooting an application using AppDynamics, the fastest way to narrow down a code problem with a specific business transaction is to follow this order:
Review Application Dashboard: This is the first step to get an overview of the health and performance of your application and its components. You can see the key metrics, such as response time, throughput, error rate, and load, for each tier, node, and business transaction. You can also see the health rule violations, events, and alerts that indicate any issues or anomalies in your application.
Check transaction scorecard: This is the second step to drill down to the details of a specific business transaction that you want to troubleshoot. You can see the transaction scorecard by clicking on the business transaction name on the application dashboard. The transaction scorecard shows the metrics, such as average response time, calls per minute, errors per minute, and slow calls, for the selected business transaction. You can also see the breakdown of the response time by tier, node, and remote service, and the distribution of the response time by percentile.
Check transaction snapshots for problems: This is the third step to identify the root cause of the code problem for the selected business transaction. You can see the transaction snapshots by clicking on the View Snapshots button on the transaction scorecard. Transaction snapshots are the detailed records of the execution of a business transaction, including the call graph, the exit calls, the errors, the exceptions, the logs, the HTTP parameters, the cookies, the session attributes, and the custom data. You can use the transaction snapshots to analyze the code execution, the database queries, the web service calls, the message queues, the errors, and the exceptions that affect the performance of the business transaction.
Therefore,A(Review Application Dashboard > Check transaction scorecard > Check Transactions snapshots for problems) is the correct answer.Reference:
The Default Flow map shows a tier with a full or partial red circle, which indicates one or more nodes have reported Health Rule violations. Which procedure should the engineer take?
Users are saying they are experiencing occasional slow response lime. You suspect a database issue and want to find snapshots showing slow database response times Which two statements describe how to locate snapshots showing the slow database response? (Choose two.)
Answer : A, C
Snapshots are the detailed records of the execution of a business transaction, including the call stack, the exit points, the errors, and the metrics. To locate snapshots showing slow database response, you can use the following methods:
The other options are not valid methods to locate snapshots showing slow database response. Going to the dashboard for the database and selecting slowest database calls will show the metrics and the flow map for the database, but not the snapshots. Going to the list of snapshots and selecting analyze for a group of snapshots will show the summary and the comparison of the selected snapshots, but not the database response time.
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.)
Answer : A, B
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.
Therefore,A(Visualizing application performance during normal operations helps identify when the application performance is abnormal) andB(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.Reference:
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