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| Section | Weight | Objectives |
|---|---|---|
| Flow Maps and Application Architecture | 20% | - Component dependency visualization - Interpreting flow maps - Environment and topology overview |
| Business Transactions | 25% | - Metrics analysis and baselining - Slow, error, and stalled transaction identification - Transaction detection and configuration |
| Information Points, Collectors, and Service Endpoints | 20% | - Database and custom collectors - Service endpoint monitoring - Configuring information points |
| Health Rules, Alerts, and Dashboards | 20% | - Creating and managing health rules - Custom dashboards and reporting - Alert configuration and actions |
| Troubleshooting and Performance Analysis | 15% | - Analyzing call graphs and snapshots - Identifying bottlenecks and root causes - Remediation and optimization steps |
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NEW QUESTION # 104
What is the Application Agent limit for Service Endpoints with respect to Controller and Agent configurations?
Answer: C
Explanation:
The Application Agent supports a default maximum of 50 Service Endpoints per entry point type. An entry point type represents the technology or execution mechanism through which the monitored request enters the application, such as a servlet, web service, message listener, or asynchronous processing framework.
This limit prevents excessive endpoint registration and metric creation at both the Agent and Controller layers. When Service Endpoint detection rules identify more endpoints than the configured threshold for a particular entry point type, the Agent restricts registration to the permitted maximum. The limit can be governed through the relevant Agent node-property configuration, but the standard tested value is 50.
The asynchronous-worker-thread options are too narrowly scoped and do not describe the general Service Endpoint registration limit. Likewise, 25 endpoints per entry point type is not the standard default Application Agent threshold.
This distinction is important because Service Endpoints generate independent performance metrics while remaining subordinate to the associated Business Transaction. Relevant CAAPA Study Guide topics include Service Endpoint Detection, Agent and Controller Limits, Entry Point Types, Agent Node Properties, Metric Registration, and Business Transaction Visibility.
NEW QUESTION # 105
In which two features of AppDynamics can Information Points metric data be used? (Choose two.)
Answer: A,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 # 106
What are two differences between creating a Transaction Group using the 'Create Group' action and defining a Transaction Detection rule? (Choose two.)
Answer: C,D
NEW QUESTION # 107
A Performance Analyst received an alert that the Average Response Time is increasing after a new marketing offer was released. Which metric would quickly help the Performance Analyst determine that users may not be critically impacted?
Answer: D
Explanation:
If the Average Response Time is increasing after the release of a new marketing offer, seeing an increase in Calls per Minute could quickly help the Performance Analyst determine that users may not be critically impacted. This increase may indicate that despite the higher average response time, more users are engaging with the application, possibly due to interest generated by the marketing offer. It suggests that the system is handling more load, which could be a factor in the increased response time.
References:
AppDynamics documentation on Performance Metrics: Discusses the implications of various key performance indicators, including how an increase in Calls per Minute can be interpreted in the context of application performance.
NEW QUESTION # 108
What are three effects of Development Level Monitoring? (Choose three.)
Answer: B,E,F
Explanation:
Development Level Monitoring is intended for controlled development or diagnostic environments where maximum transaction visibility is more important than minimizing agent overhead. In this mode, the agent captures full call graphs, providing method-level execution detail rather than the reduced or partial call-graph collection associated with normal production monitoring.
The agent also attempts to collect a transaction snapshot for every transaction. "Attempts" is the critical distinction: snapshot creation remains subject to agent safeguards, resource constraints, transaction behavior, and collection limits. Therefore, Development Level Monitoring does not provide an absolute guarantee that every transaction will produce a retained snapshot, making option F incorrect.
Development mode additionally collects more detailed exit-call information for calls to backend systems, improving analysis of downstream databases, services, and other remote dependencies.
The agent does not ignore dev-mode-suspend-cpm. This property is a protective calls-per-minute threshold that can suspend development-mode collection when transaction volume becomes excessive. Relevant CAAPA Study Guide topics include Agent Configuration, Monitoring Levels, Transaction Snapshots, Call Graph Collection, Exit Calls, and Development-Mode Performance Safeguards.
NEW QUESTION # 109
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