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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Collectors, Information Points, and Service Endpoints | 25% | - Analyze service endpoint metrics - Define and configure data collectors - Configure information points and service endpoints |
| Topic 2: Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Capture snapshots and troubleshoot health rule violations - Utilize dashboards to identify performance issues |
| Topic 3: Health Rules, Dashboards, and Snapshots | 20% | - Create and interpret dashboards - Locate and analyze snapshots - Create and configure health rules |
| Topic 4: Agents and Application Performance | 20% | - Monitor performance trends - Troubleshoot performance problems - Determine application performance impact and scheduled reports - Verify agent functionality, performance, and connectivity - Configure alerts and identify system performance metrics |
| Topic 5: Business Transactions | 20% | - Determine transaction scope and rule assignment - Manage discovery and analyze transaction metrics - Create and configure business transaction settings |
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NEW QUESTION # 46
Which two roll-up types can be configured for an Information Point? (Choose two.)
Answer: C,D
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 # 47
Developers and operations personnel complain the Controller tracks many irrelevant Java classes and methods.
How does a Performance Analyst exclude this unhelpful information?
Answer: A
Explanation:
To streamline the monitoring process and enhance the relevance of collected data, AppDynamics allows Performance Analysts to exclude certain Java classes and methods from instrumentation. This is done through the "Configuration > Instrumentation > Call Graph Settings" menu, where irrelevant packages and classes can be specified for exclusion. This approach prevents the AppDynamics agent from tracking unnecessary or irrelevant methods, thus reducing overhead and focusing on the most critical aspects of application performance.
References:
AppDynamics documentation on Call Graph Settings: This section details how to configure call graph settings, including the exclusion of specific classes and methods from instrumentation, to optimize performance monitoring.
NEW QUESTION # 48
Which statement is correct regarding controller-level and tier/node-level dashboards?
Answer: A
Explanation:
Controller-level and tier/node-level dashboards in AppDynamics are treated as separate entities. They are scoped differently, with controller-level dashboards providing a global view across the entire AppDynamics domain, and tier/node-level dashboards being specific to particular tiers or nodes within an application.
Performance Analysts do not have the ability to cross-reference directly between these two sets of dashboards within the AppDynamics UI.
References:
AppDynamics documentation on Dashboards: https://docs.appdynamics.com/latest/en/application-monitoring
/custom-dashboards
NEW QUESTION # 49
Using the Business Transaction Discovery Sessions tools, which two items can a Performance Analyst browse? (Choose two.)
Answer: C,E
Explanation:
Business Transaction Discovery Sessions allow a Performance Analyst to browse the application's classes and methods while identifying suitable entry points for custom Business Transaction detection. The discovery process observes application execution and exposes loaded or invoked code structures, enabling the analyst to locate the class and method that represent the beginning of a meaningful transaction.
Browsing classes helps narrow the search to the relevant package or application component. After selecting a class, the analyst can inspect its methods and choose the appropriate method as the transaction entry point.
This is particularly useful when automatic discovery does not recognize a proprietary framework, background process, scheduled task, or other nonstandard execution path.
Database Calls are analyzed as exit calls or backend activity rather than browsed as transaction entry-point code. JMX MBeans are accessed through JMX monitoring and metric configuration tools. Memory Objects are examined through memory diagnostics, object instance tracking, or leak-detection functions, not Business Transaction Discovery Sessions.
Relevant CAAPA Study Guide topics include Business Transaction Discovery Sessions, Class and Method Browsing, Custom Match Rules, Entry-Point Configuration, Automatic Discovery, and Application Agent Instrumentation.
NEW QUESTION # 50
An AppDynamics deployment has Business Transaction Lock Down turned on. The company has just added an important service to its application and wants to track this service as a unique Business Transaction. What action is needed to achieve this?
Answer: D
Explanation:
When Business Transaction Lock Down is enabled in AppDynamics, no new business transactions will be automatically discovered to avoid uncontrolled growth in the number of business transactions. To track a new service as a unique Business Transaction, one needs to create a Custom Match Rule that specifies the criteria for identifying the business transaction. In this case, the Custom Match Rule should be based on the Web Service Name and Operation Name which are the distinguishing characteristics of the new service. This allows for the precise identification and monitoring of the service within the AppDynamics platform.References:AppDynamics documentation on Business Transaction configuration and Custom Match Rules.
NEW QUESTION # 51
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