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Which statement is correct regarding controller-level and tier/node-level dashboards?
See the explanation below.
Controller-level and tier/node-level dashboards in AppDynamics are treated as separate entities. They are scoped differently, with controller-level dashboards providing a global view across the entire AppDynamics domain, and tier/node-level dashboards being specific to particular tiers or nodes within an application. Performance Analysts do not have the ability to cross-reference directly between these two sets of dashboards within the AppDynamics UI.
AppDynamics documentation on Dashboards: https://docs.appdynamics.com/latest/en/application-monitoring/custom-dashboards
Which three reports can be scheduled for periodic generation and delivery to email recipients? (Choose three.)
See the explanation below.
AppDynamics allows for several reports to be scheduled for periodic generation and sent to email recipients. Among these, Application Health, Error Trends, and Custom Dashboards are types of reports that can be automatically generated and delivered, providing regular insights into the application's performance and issues.
AppDynamics documentation on Reports: https://docs.appdynamics.com/latest/en/application-monitoring/reporting
The performance impact on the_______would lead a Performance Analyst to limit the duration and frequency of automatic diagnostic sessions.
See the explanation below.
The primary concern for a Performance Analyst when considering the impact of automatic diagnostic sessions is the application itself. Intensive diagnostic sessions can be resource-heavy, potentially affecting the application's performance. Therefore, it is often necessary to limit the duration and frequency of these sessions to ensure they do not negatively impact the application's end-user experience.
AppDynamics documentation on Diagnostic Sessions: https://docs.appdynamics.com/latest/en/troubleshoot/diagnostic-sessions
Refer to Exhibit.
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Refer to the exhibit. The transaction score in the graphic displays an interesting performance pattern outside of business hours on 6/16/18. Which additional performance anomaly should be of most interest to a Performance Analyst?
See the explanation below.
The performance pattern outside of business hours on 6/16/18 that would be of most interest to a Performance Analyst is the elevated response time, as indicated on 6/19/18. This is because it shows a significant spike in response time, which could indicate a performance issue that needs to be addressed. Anomalies in response time can often be more indicative of underlying problems than changes in call volume, especially when they occur outside of expected peak periods.
AppDynamics documentation on Transaction Score: https://docs.appdynamics.com/latest/en/application-monitoring/application-dashboard/transaction-score
What must a Performance Analyst first configure in order to monitor end-to-end latency performance metrics in AppDynamics?
See the explanation below.
To monitor end-to-end latency performance metrics, a Performance Analyst must first define the end-to-end latency transaction. This involves configuring the business transactions to include the necessary entry and exit points that capture the complete flow of the transaction, thereby enabling the measurement of the total latency.
AppDynamics documentation on Business Transactions: https://docs.appdynamics.com/latest/en/application-monitoring/business-transactions
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