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| Section | Weight | Objectives |
|---|---|---|
| Health Rules, Dashboards, and Snapshots | 20% | - Locate and analyze snapshots - Create and interpret dashboards - Create and configure health rules |
| Business Transactions | 20% | - Manage discovery and analyze transaction metrics - Determine transaction scope and rule assignment - Create and configure business transaction settings |
| Agents and Application Performance | 20% | - Determine application performance impact and scheduled reports - Monitor performance trends - Verify agent functionality, performance, and connectivity - Troubleshoot performance problems - Configure alerts and identify system performance metrics |
| Troubleshooting | 15% | - Utilize dashboards to identify performance issues - Identify slow performance and errors from backend systems - Capture snapshots and troubleshoot health rule violations |
| Collectors, Information Points, and Service Endpoints | 25% | - Define and configure data collectors - Configure information points and service endpoints - Analyze service endpoint metrics |
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NEW QUESTION # 40
Which option should a Performance Analyst use in an environment where virtual machines are routinely created and destroyed?
Answer: C
Explanation:
In environments where virtual machines are frequently created and destroyed, using the agent configuration properties-Dappdynamics.agent.reuse.nodeNameand-Dappdynamics.agent.reuse.nodeName.prefixcan be beneficial. These settings allow AppDynamics agents to reuse node names for newly created instances, facilitating consistent monitoring and tracking across dynamic environments. This approach helps maintain clarity in application topology and ensures that performance data remains coherent even as the underlying infrastructure changes.
References:
AppDynamics documentation on Agent Configuration: Discusses advanced agent configuration options, including node name reuse, to accommodate dynamic environments such as those with frequently changing virtual machines.
AppDynamics documentation on Infrastructure Monitoring: Offers insights into best practices for monitoring in dynamic and virtualized environments.
NEW QUESTION # 41
Which two options are forms of data collectors? (Choose two.)
Answer: A,B
Explanation:
AppDynamics supports HTTP data collectors and method invocation data collectors for enriching transaction snapshots with contextual diagnostic information.
An HTTP data collector captures selected request details associated with a Business Transaction, including URL or URI information, query or form parameters, HTTP headers, and cookies. These values help analysts distinguish transaction variants, correlate user input with application behavior, and identify request-specific causes of latency or errors. Sensitive values should be filtered or excluded through data-collection configuration.
A method invocation data collector captures information from instrumented application methods. Depending on configuration and agent support, it can collect method arguments, object properties, local or instance data, and return values. This provides code-level context when examining transaction snapshots and call graphs.
URN, URI, and SNMP are not separate AppDynamics transaction data-collector categories in this context.
URI-related values are handled under HTTP request data collection, while SNMP belongs to network- management protocols rather than Application Agent transaction diagnostics.
Relevant CAAPA topics include Transaction Data Collectors, HTTP Request Data Collection, Method Invocation Data Collection, Transaction Snapshots, Sensitive Data Filtering, and Business Transaction Diagnostics.
NEW QUESTION # 42
What is the Node limit of the maximum Service Endpoints per node?
Answer: D
Explanation:
AppDynamics imposes a limit on the number of Service Endpoints that can be registered per node to ensure manageable performance and overhead. The limit per node is set to 100 Service Endpoints, which is a balance between providing detailed monitoring and maintaining application performance.
References:
AppDynamics documentation on Service Endpoints:
https://docs.appdynamics.com/latest/en/application-monitoring/monitor-service-endpoints
NEW QUESTION # 43
A Performance Analyst is reviewing Business Transactions with an Application team. The Application team would like to increase the Application Business Transaction limit because they need to have visibility into all the different transactions. What should the Performance Analyst do?
Answer: C
Explanation:
When an application team requests an increase in the Application Business Transaction limit for visibility purposes, it's crucial for the Performance Analyst to focus on the transactions that are currently exceeding the limit and understand why. This approach helps in identifying whether the limit is being reached due to genuinely essential transactions or if there are redundant, irrelevant, or improperly defined transactions contributing to the limit breach. By analyzing and rationalizing the transactions, the analyst can ensure that only valuable transactions are monitored, optimizing resource usage and maintaining effective observability without necessarily increasing the limit.
References:
AppDynamics documentation on Business Transaction Limits: Discusses the implications of business transaction limits and strategies for managing and optimizing these limits within AppDynamics.
AppDynamics Best Practices Guide: Offers recommendations for configuring and managing business transactions, including handling limits and ensuring meaningful transaction monitoring.
NEW QUESTION # 44
How does a Performance Analyst identify if automatic remediation has been taken for a health rule violation?
Answer: B
Explanation:
To identify if automatic remediation actions have been taken for a health rule violation in AppDynamics, a Performance Analyst should expand the " Description " field of the health rule violation event. This section will provide details on the actions executed as part of the automatic remediation process. These details help analysts understand the steps taken by the system to mitigate the issue without manual intervention.
References: AppDynamics documentation on Health Rule Violations and Automated Actions.
NEW QUESTION # 45
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