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| Section | Weight | Objectives |
|---|---|---|
| Business Transactions | 25% | - Transaction detection and configuration - Slow, error, and stalled transaction identification - Metrics analysis and baselining |
| Troubleshooting and Performance Analysis | 15% | - Remediation and optimization steps - Analyzing call graphs and snapshots - Identifying bottlenecks and root causes |
| Information Points, Collectors, and Service Endpoints | 20% | - Service endpoint monitoring - Database and custom collectors - Configuring information points |
| Flow Maps and Application Architecture | 20% | - Interpreting flow maps - Environment and topology overview - Component dependency visualization |
| Health Rules, Alerts, and Dashboards | 20% | - Custom dashboards and reporting - Creating and managing health rules - Alert configuration and actions |
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NEW QUESTION # 106
Which statement about Service End Points and Business Transactions is true?
Answer: C
Explanation:
Both Service Endpoints and Business Transactions in AppDynamics have the capability to configure data collectors. Data collectors are used to gather detailed information about transactions or endpoints, such as method parameters, return values, and SQL statements.
References:
AppDynamics documentation on Data Collectors:
https://docs.appdynamics.com/latest/en/application-monitoring/configure-data-collection
NEW QUESTION # 107
When should URI Segments be used in Transaction Detection rules?
Answer: A
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 # 108
Which path is used to specify a metric that evaluates across multiple hardware entities or memory pools?
Answer: D
Explanation:
A relative metric path with a wildcard is used when a metric condition must be evaluated across multiple comparable entities, such as hardware resources, JVM memory pools, nodes, or other dynamically named metric branches.
A relative path is resolved in the context of each entity selected by the health rule or metric evaluation scope.
Adding a wildcard allows AppDynamics to match multiple child metric paths rather than requiring one fixed, fully qualified metric location. This is particularly useful when memory-pool names, hardware instances, or resource identifiers differ between nodes or runtime environments.
An absolute metric path points to one exact location in the metric hierarchy and is therefore better suited to a single, explicitly identified metric. Although wildcard matching can be supported in metric configurations, the correct approach for evaluating equivalent metrics across multiple scoped entities is the relative-path model.
The Metric Browser supports hierarchical metric navigation, and wildcard-capable paths are used where dynamic or repeated entity structures must be addressed. Relevant CAAPA Study Guide topics include Metric Browser, Relative and Absolute Metric Paths, Wildcard Metric Selection, Health Rule Conditions, Hardware Resource Metrics, and JVM Memory Pool Monitoring.
NEW QUESTION # 109
Which view presents a calculated percentage of the slow, very slow, and stalled Business Transactions?
Answer: B
Explanation:
The Transaction Score view presents the calculated percentage of Business Transaction executions classified by performance category, including normal, slow, very slow, stalled, and error transactions. AppDynamics determines these classifications by comparing each transaction's response time with the configured slow and very slow thresholds, which may be based on dynamic baselines or static threshold values.
The resulting Transaction Score provides a concise, application-level indication of user-impacting performance. A rising percentage of slow, very slow, or stalled transactions quickly shows that a greater portion of the workload is experiencing degradation, even when overall average response time appears acceptable.
The Slow Responses troubleshooting view is used to investigate individual slow transaction instances and snapshots rather than calculate the overall percentage distribution. The Business Transactions view lists transaction-level metrics and trends but does not provide the same summarized scoring visualization. The Metric Browser displays raw and aggregated metrics but requires manual selection and interpretation.
Relevant CAAPA Study Guide topics include Transaction Score, Business Transaction Performance Classification, Slow and Very Slow Thresholds, Stalled Transactions, Dynamic Baselines, Transaction Snapshots, and Application Health Analysis.
NEW QUESTION # 110
Developers and operations personnel complain the Controller tracks many irrelevant Java classes and methods. How does a Performance Analyst exclude this unhelpful information?
Answer: B
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 # 111
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