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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Transactions | 20% | - Create and configure business transaction settings - Determine transaction scope and rule assignment - Manage discovery and analyze transaction metrics |
| Topic 2: Health Rules, Dashboards, and Snapshots | 20% | - Create and configure health rules - Locate and analyze snapshots - Create and interpret dashboards |
| Topic 3: Agents and Application Performance | 20% | - Monitor performance trends - Troubleshoot performance problems - Determine application performance impact and scheduled reports - Configure alerts and identify system performance metrics - Verify agent functionality, performance, and connectivity |
| Topic 4: Troubleshooting | 15% | - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations - Identify slow performance and errors from backend systems |
| Topic 5: Collectors, Information Points, and Service Endpoints | 25% | - Define and configure data collectors - Analyze service endpoint metrics - Configure information points and service endpoints |
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NEW QUESTION # 99
When should URI Segments be used in Transaction Detection rules?
Answer: B
Explanation:
URI Segments should be used in Transaction Detection rules when the application is web-oriented. Web- oriented applications often have meaningful information in the URI that can identify different business transactions. URI Segments can help in defining patterns that match specific parts of the URI to distinguish different transactions.
References:
AppDynamics documentation on Transaction Detection: https://docs.appdynamics.com/latest/en/application- monitoring/business-transactions
NEW QUESTION # 100
In which two features of AppDynamics can Information Points metric data be used? (Choose two.)
Answer: C,D
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 # 101
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: C
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 # 102
Which two roll-up types can be configured for an Information Point? (Choose two.)
Answer: A,C
Explanation:
An Information Point custom metric can be configured with the roll-up types Average and Sum. The selected roll-up determines how values reported by repeated executions of the monitored class and method are aggregated during each metric reporting interval.
Average calculates the mean of all collected values within the interval. This is appropriate for measurements such as average item-processing time, average order value, or another numeric value where typical behavior is the primary concern.
Sum adds all collected values reported during the interval. It is appropriate for cumulative business or operational measurements, such as the total number of items processed, total transaction value, or total quantity handled by the instrumented method.
Max is not one of the configurable Information Point roll-up choices in this context. Although maximum values can appear in other AppDynamics metric-analysis scenarios, they are not selected as an Information Point custom-metric roll-up type. Count is represented separately through invocation-frequency metrics such as Calls per Minute rather than as the configured roll-up method for the collected numeric value.
Relevant CAAPA Study Guide topics include Information Points, Custom Metrics, Metric Aggregation, Average Roll-Up, Sum Roll-Up, Method Invocation Monitoring, and Calls per Minute.
NEW QUESTION # 103
What are two examples of backend calls? (Choose two.)
Answer: C,D
Explanation:
A remote services call and a tier-to-tier request are examples of outbound backend or dependency calls made while processing a Business Transaction.
A remote services call occurs when application code invokes an external HTTP service, web service, messaging destination, or another remote system. AppDynamics detects the associated exit point and reports metrics such as call count, response time, and errors. When the remote destination is not instrumented, it is typically represented as a backend or remote service on the application flow map.
A tier-to-tier request occurs when one monitored application tier calls another instrumented tier.
AppDynamics correlates the outbound exit call with the downstream entry point, producing cross-tier transaction visibility and showing how much downstream processing contributes to total response time.
An asynchronous request represents an execution or thread-handoff pattern and does not inherently constitute a backend call; it may execute entirely within the same tier. A browser request is an inbound entry-point request from an end user, not an outbound dependency invocation.
Relevant CAAPA Study Guide topics include Backend Detection, Exit Calls, Remote Services, Cross-Tier Correlation, Tier-to-Tier Calls, Business Transaction Flow Maps, and Asynchronous Transaction Tracking.
NEW QUESTION # 104
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