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| Section | Weight | Objectives |
|---|---|---|
| Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Configuring information points - Database and custom collectors |
| Health Rules, Alerts, and Dashboards | 20% | - Alert configuration and actions - Custom dashboards and reporting - Creating and managing health rules |
| Flow Maps and Application Architecture | 20% | - Interpreting flow maps - Environment and topology overview - Component dependency visualization |
| Business Transactions | 25% | - Metrics analysis and baselining - Slow, error, and stalled transaction identification - Transaction detection and configuration |
| Troubleshooting and Performance Analysis | 15% | - Identifying bottlenecks and root causes - Analyzing call graphs and snapshots - Remediation and optimization steps |
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NEW QUESTION # 13
What is the Application Agent limit for Service Endpoints with respect to Controller and Agent configurations?
Answer: A
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 # 14
Which format is used to archive dashboard metadata?
Answer: A
Explanation:
AppDynamics dashboard metadata is archived in JSON format. JSON preserves the dashboard's structural and configuration information, including widget definitions, layout, metric references, display settings, data sources, labels, and other properties required to reconstruct the dashboard.
This format is appropriate because dashboard metadata is hierarchical configuration data rather than a flat report. A JSON archive can retain nested relationships among dashboard objects and can be exported, stored in source control, transferred between compatible Controller environments, or used as part of backup and migration procedures.
PDF is intended for rendering a visual report and does not preserve editable dashboard configuration. CSV and XLSX are tabular formats suitable for exporting metric or report data, but they cannot accurately represent the complete object structure and layout of a custom dashboard.
Therefore, when the objective is to archive the dashboard definition itself rather than merely capture its displayed output, JSON is the correct format.
Relevant CAAPA Study Guide topics include Custom Dashboards, Dashboard Import and Export, Metadata Archiving, JSON Configuration, Controller Migration, and Dashboard Backup Procedures.
NEW QUESTION # 15
What are two types of Data CollectorsinAppDynamics APM? (Choose two.)
Answer: B,D
Explanation:
In AppDynamics Application Performance Management (APM), two types of Data Collectors are SQL data collectors and Method invocation data collectors. SQL data collectors capture and record detailed information about SQL queries executed by the application, helping identify slow or inefficient database operations.
Method invocation data collectors capture information about specific method calls within the application code, including execution times and parameters, providing deep insights into code-level performance.
References:
AppDynamics documentation on Data Collectors: Provides detailed information on configuring SQL and Method invocation data collectors for in-depth application monitoring.
NEW QUESTION # 16
After reviewing a problem that caused an outage, a Performance Analyst wants to create a single health rule that evaluates multiple conditions. Which two options are valid condition-matching values? (Choose two.)
Answer: B,C
Explanation:
AppDynamics health-rule criteria provide two supported methods for evaluating multiple conditions: All of the following conditions are met and Any of the following conditions are met.
Selecting All applies logical AND behavior. Every configured condition must evaluate as true during the health rule's evaluation period before AppDynamics generates the warning or critical violation. For the outage scenario, this is the appropriate selection when the alert must occur only when several symptoms- such as elevated response time, increased errors, and high CPU utilization-happen together.
Selecting Any applies logical OR behavior. AppDynamics creates the violation when at least one configured condition becomes true. This is useful when several independent symptoms can indicate the same operational problem.
Although "And" and "Or" describe the underlying logical concepts, they are not the named values presented for multi-condition health-rule evaluation in this context. The interface uses All and Any.
Relevant CAAPA Study Guide topics include Health Rule Conditions, Warning and Critical Criteria, Condition Evaluation Logic, Evaluation Time, Violation Wait Time, and Policy Triggering.
NEW QUESTION # 17
Which health rule violation event will be triggered when a Performance Analyst modifies the existing health rule that is already in critical violation?
Answer: D
Explanation:
When a Performance Analyst modifies an existing health rule that is already in a state of critical violation, the event that is typically triggered is "Health Rule Violation Continues - Critical." This event indicates that, despite the modification, the health rule is still being violated at a critical level. The system recognizes that the conditions for the health rule violation are still being met and continues to alert accordingly.
References:
AppDynamics documentation on Health Rules and Events: Explains the different types of health rule events and the conditions under which they are triggered.
NEW QUESTION # 18
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