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| Section | Weight | Objectives |
|---|---|---|
| Agents and Application Performance | 20% | - Monitor performance trends - Configure alerts and identify system performance metrics - Determine application performance impact and scheduled reports - Verify agent functionality, performance, and connectivity - Troubleshoot performance problems |
| Collectors, Information Points, and Service Endpoints | 25% | - Configure information points and service endpoints - Analyze service endpoint metrics - Define and configure data collectors |
| Troubleshooting | 15% | - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations - Identify slow performance and errors from backend systems |
| Business Transactions | 20% | - Create and configure business transaction settings - Determine transaction scope and rule assignment - Manage discovery and analyze transaction metrics |
| Health Rules, Dashboards, and Snapshots | 20% | - Create and interpret dashboards - Create and configure health rules - Locate and analyze snapshots |
>> 500-420 Valid Exam Objectives <<
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NEW QUESTION # 88
A Performance Analyst has decided to replace a Servlet Business Transaction with a Service Endpoint. There were no Business Transaction Custom Match Rules, and the analyst created a Business Transaction Custom Exclude Rule matching the transaction URI. The analyst also created a Service Endpoint Custom Match Rule matching the URI. Which statement is true?
Answer: A
Explanation:
The custom exclude rule prevents the servlet request from being registered and monitored as a Business Transaction, while the Service Endpoint custom match rule independently instruments the matching URI as a Service Endpoint. AppDynamics therefore continues to collect Service Endpoint metrics, including average response time, calls per minute, and errors, allowing the analyst to monitor the service's performance without consuming a Business Transaction registration.
The excluded request does not produce normal Business Transaction snapshots, so the analyst cannot rely on snapshot call graphs to inspect the Service Endpoint or its downstream exit calls. Exit-point visibility is normally obtained through Business Transaction snapshots and call graphs.
EUM correlation also depends on the server-side request being represented as a correlated Business Transaction. A standalone Service Endpoint does not replace that Business Transaction correlation path and therefore cannot provide equivalent browser or mobile EUM linkage.
Relevant CAAPA Study Guide topics include Service Endpoint Detection, Custom Service Endpoint Match Rules, Business Transaction Exclude Rules, Service Endpoint Metrics, Transaction Snapshots, Exit Calls, and EUM Correlation.
NEW QUESTION # 89
Which values can be used to identify a split exit point?
Answer: C
Explanation:
A split exit point in AppDynamics is identified using static application values. Static values provide a consistent and predictable way to categorize exit points, making it easier to aggregate and analyze similar types of interactions with external services or components.
References:
AppDynamics documentation on Exit Points: Provides insights into how exit points are defined and identified within AppDynamics, including the use of static values for split exit points.
NEW QUESTION # 90
Which two functions does the Business Transaction Discovery Feature allow a user to perform? (Choose two.)
Answer: C,D
Explanation:
The Business Transaction Discovery feature in AppDynamics allows users to identify new and potential business transactions directly within the Business Transaction Dashboard. This feature aids in the continuous monitoring and adaptation of the application's transaction tracking to changing business needs, ensuring comprehensive visibility. Users can also preview these identified transactions, assessing their relevance and impact on the application's performance before deciding to monitor them as official business transactions.
References:
AppDynamics documentation on Business Transaction Monitoring: Discusses how to manage and monitor business transactions, including the discovery and preview of new or potential transactions.
AppDynamics documentation on Business Transaction Dashboard: Explains the functionalities and features of the Business Transaction Dashboard, including transaction discovery.
NEW QUESTION # 91
Which AppDynamics option will allow a Performance Analyst to compare and filter related servers using custom metadata within your environment?
Answer: B
Explanation:
Server Tagging in AppDynamics allows a Performance Analyst to compare and filter related servers by using custom metadata. This feature enables users to group and organize their servers based on criteria that make sense for their environment, such as role, location, environment type, or any other custom metadata.
References:
AppDynamics documentation on Server Tagging:
https://docs.appdynamics.com/latest/en/infrastructure-visibility/infrastructure-visibility-settings/server-tags
NEW QUESTION # 92
Which three things should a Performance Analyst verify to validate a Java Agent's configuration? (Choose three.)
Answer: A,C,E
Explanation:
To validate a Java Agent configuration, the Performance Analyst should inspect the startup script, controller- info.xml, and relevant environment variables.
The startup script must contain the correct -javaagent argument pointing to the Java Agent JAR. It may also define Java system properties for the Controller host, port, SSL setting, application name, tier name, node name, account credentials, and other agent parameters. Incorrect paths or conflicting -Dappdynamics.* values can prevent registration or cause the agent to report under the wrong entity.
The controller-info.xml file is the Java Agent's primary configuration file. The analyst should verify Controller connectivity settings, account details, access key, application identity, tier identity, node identity, and SSL configuration.
Environment variables must also be reviewed because containerized and automated deployments commonly provide AppDynamics settings through variables. These values may override or supplement file-based configuration and can explain unexpected registration behavior.
/etc/sysctl.conf contains operating-system kernel parameters and is not a Java Agent configuration source.
controller-info.yaml is not the standard Java Agent configuration file.
Relevant CAAPA topics include Java Agent Installation, Agent Registration, Controller Connectivity, controller-info.xml, Java System Properties, Environment Variables, and Application-Tier-Node Naming.
NEW QUESTION # 93
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