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| Section | Weight | Objectives |
|---|---|---|
| Flow Maps and Application Architecture | 20% | - Component dependency visualization - Environment and topology overview - Interpreting flow maps |
| Business Transactions | 25% | - Metrics analysis and baselining - Slow, error, and stalled transaction identification - Transaction detection and configuration |
| Health Rules, Alerts, and Dashboards | 20% | - Custom dashboards and reporting - Alert configuration and actions - Creating and managing health rules |
| Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Configuring information points - Database and custom collectors |
| Troubleshooting and Performance Analysis | 15% | - Remediation and optimization steps - Identifying bottlenecks and root causes - Analyzing call graphs and snapshots |
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NEW QUESTION # 26
The performance impact on the_______would lead a Performance Analyst to limit the duration and frequency of automatic diagnostic sessions.
Answer: C
Explanation:
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.
References:
AppDynamics documentation on Diagnostic Sessions: https://docs.appdynamics.com/latest/en/troubleshoot
/diagnostic-sessions
NEW QUESTION # 27
What must a Performance Analyst first configure in order to monitor end-to-end latency performance metrics in AppDynamics?
Answer: C
Explanation:
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.
References:
AppDynamics documentation on Business Transactions:
https://docs.appdynamics.com/latest/en/application-monitoring/business-transactions
NEW QUESTION # 28
In which two features of AppDynamics can Information Points metric data be used? (Choose two.)
Answer: B,C
Explanation:
Information Points in AppDynamics are custom metrics that track specific data within your applications, such as method invocations or the value of method arguments. These metrics can be utilized in various features of AppDynamics, most notably in "Alerting" and "Custom Dashboards." Alerting allows you to set up notifications based on the thresholds set for Information Points, ensuring that teams are promptly informed about significant changes or anomalies. Custom Dashboards enable the visualization of Information Points metrics alongside other key performance indicators, providing a comprehensive view of application health and performance tailored to specific needs.
References:
AppDynamics documentation on Information Points: Explains how to create and use Information Points to monitor specific business-relevant metrics.
AppDynamics documentation on Alerting: Details the process of setting up health rules and alerts based on various metrics, including those from Information Points.
AppDynamics documentation on Custom Dashboards: Guides on how to create dashboards that incorporate a wide range of metrics, including Information Points, for customized monitoring.
NEW QUESTION # 29
Which tab within the Application Dashboard displays performance trends for each of Snapshots, Average Response Time, and Events within one central view?
Answer: B
Explanation:
The Transaction Score tab within the Application Dashboard is designed to display performance trends across various metrics including Snapshots, Average Response Time, and Events. It gives a comprehensive view of the transaction performance, providing a score that reflects the health and reliability of transactions over time.
References:
AppDynamics documentation on Application Dashboard:
NEW QUESTION # 30
Which two rule types are available when creating new transaction detection rules? (Choose two.)
Answer: D,E
Explanation:
AppDynamics provides two applicable rule types when defining transaction detection behavior: Exclude Rules and Custom Match Rules.
A Custom Match Rule explicitly identifies application requests that should be detected as Business Transactions. The rule can match requests by entry point, class and method, URL, servlet, framework-specific attributes, headers, parameters, or other request data. It can also control transaction naming and splitting, allowing related requests to be grouped or separated according to operational requirements.
An Exclude Rule prevents matching requests from being discovered or registered as Business Transactions.
This is useful for suppressing low-value traffic such as health checks, static-resource requests, polling calls, or framework-generated activity that would otherwise consume Business Transaction limits and add unnecessary metric noise.
An Automatic Discovery Rule is not created as a separate rule type in this context; automatic discovery is the agent's default transaction-identification behavior. A Health Rule evaluates monitored metrics and triggers policy actions, while an Include Rule is not a transaction detection rule category.
Relevant CAAPA topics include Business Transaction Detection, Custom Match Rules, Exclude Rules, Entry- Point Matching, Automatic Discovery, and Business Transaction Registration Limits.
NEW QUESTION # 31
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