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| Section | Weight | Objectives |
|---|---|---|
| Agents and Application Performance | 20% | - Verify agent functionality, performance, and connectivity - Configure alerts and identify system performance metrics - Troubleshoot performance problems - Monitor performance trends - Determine application performance impact and scheduled reports |
| Collectors, Information Points, and Service Endpoints | 25% | - Analyze service endpoint metrics - Define and configure data collectors - Configure information points and service endpoints |
| Business Transactions | 20% | - Create and configure business transaction settings - Manage discovery and analyze transaction metrics - Determine transaction scope and rule assignment |
| Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Capture snapshots and troubleshoot health rule violations - Utilize dashboards to identify performance issues |
| Health Rules, Dashboards, and Snapshots | 20% | - Create and interpret dashboards - Locate and analyze snapshots - Create and configure health rules |
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NEW QUESTION # 122
Which three programming languages are supported by the AppDynamics Application Performance Monitoring solution? (Choose three.)
Answer: B,C,E
Explanation:
The supported programming-language options are Go, C/C++, and C#. AppDynamics provides monitoring capabilities for applications built with these languages through language-specific agents, supported runtime instrumentation, or application-monitoring SDKs.
C# is monitored through the AppDynamics .NET Agent, which instruments supported .NET and .NET Framework applications to discover Business Transactions, collect call graphs, monitor exceptions, and correlate downstream service calls. C/C++ applications can be monitored using the AppDynamics C/C++ SDK and associated application instrumentation capabilities, enabling custom Business Transaction definition, exit-call tracking, and distributed transaction correlation. Go applications are supported through AppDynamics monitoring components designed for Go-based services, allowing transaction visibility and correlation within distributed application environments.
Perl is not listed as a standard AppDynamics APM language-agent platform. React is a JavaScript user- interface library rather than a programming language; browser-side React applications are typically observed through Browser Real User Monitoring. iOS Family describes a mobile platform, not a programming language, and is addressed through Mobile Real User Monitoring.
Relevant CAAPA topics include Application Agent Platforms, .NET Agent, C/C++ SDK, Go Application Monitoring, Business Transaction Instrumentation, and Real User Monitoring.
NEW QUESTION # 123
Which data type can be collected as custom data by an Information Point?
Answer: A
Explanation:
An AppDynamics Information Point can collect String values as custom data. Information Points instrument selected application methods so that analysts can monitor method-level performance and capture business context without defining the method as a complete Business Transaction.
Custom data is typically extracted from a method argument, return value, object field, or getter chain. The resulting String value can provide contextual information such as an order category, customer type, transaction status, product identifier, or processing state. This data is associated with the monitored method execution and can support detailed troubleshooting and business-level analysis.
Numeric values such as integers or floating-point numbers are generally treated as candidates for custom metrics, where AppDynamics can aggregate and report values over time. Boolean values are not the designated custom-data type for this Information Point configuration. The distinction is therefore between textual custom data, represented as a String, and numerical measurements intended for metric aggregation.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Getter Chains, Custom Data Collection, Custom Metrics, Method Arguments, Return Values, and Business Context Capture.
NEW QUESTION # 124
A Performance Analyst has decided to replace a Servlet Business Transaction with a Service Endpoint. There were no Business Transaction Custom Match Rules, and the analyst created a Business Transaction Custom Exclude Rule matching the transaction URI. The analyst also created a Service Endpoint Custom Match Rule matching the URI. Which statement is true?
Answer: B
Explanation:
The custom exclude rule prevents the servlet request from being registered and monitored as a Business Transaction, while the Service Endpoint custom match rule independently instruments the matching URI as a Service Endpoint. AppDynamics therefore continues to collect Service Endpoint metrics, including average response time, calls per minute, and errors, allowing the analyst to monitor the service's performance without consuming a Business Transaction registration.
The excluded request does not produce normal Business Transaction snapshots, so the analyst cannot rely on snapshot call graphs to inspect the Service Endpoint or its downstream exit calls. Exit-point visibility is normally obtained through Business Transaction snapshots and call graphs.
EUM correlation also depends on the server-side request being represented as a correlated Business Transaction. A standalone Service Endpoint does not replace that Business Transaction correlation path and therefore cannot provide equivalent browser or mobile EUM linkage.
Relevant CAAPA Study Guide topics include Service Endpoint Detection, Custom Service Endpoint Match Rules, Business Transaction Exclude Rules, Service Endpoint Metrics, Transaction Snapshots, Exit Calls, and EUM Correlation.
NEW QUESTION # 125
In the Create Scheduled Report form, which built-in scheduled report type provides the transaction scorecard?
Answer: D
Explanation:
The built-in Application Health scheduled report provides the Transaction Scorecard. This report is designed to summarize the operational health of a selected application over the configured reporting period and includes Business Transaction performance classifications.
The Transaction Scorecard shows the distribution of transaction executions across categories such as normal, slow, very slow, stalled, and errors. These classifications are derived from the application's configured transaction thresholds and dynamic baselines. The scorecard therefore gives recipients a concise indication of how much application traffic delivered an acceptable user experience and how much experienced degradation or failure.
The All Application Summary report provides a higher-level overview across applications rather than the detailed transaction scorecard for a specific application. The Home Screen option summarizes Controller- level information and is not the report type used for transaction-performance scoring. User Experience:
Browser Apps focuses on Browser Real User Monitoring measurements, including page-load and end-user response metrics, rather than server-side Business Transaction scoring.
Relevant CAAPA Study Guide topics include Scheduled Reports, Application Health Reports, Transaction Score, Business Transaction Performance Classification, Dynamic Baselines, and Email Report Delivery.
NEW QUESTION # 126
Which item supplements business transaction and transaction analytics data with application data?
Answer: A
Explanation:
Data collectors in AppDynamics supplement business transaction and transaction analytics data with application data by capturing additional information during transaction execution. This can include method arguments, return values, and invocation context, which enriches the transaction data with more detailed application-level insights. This capability is crucial for in-depth performance analysis and troubleshooting, providing a more comprehensive view of application behavior.
References:
AppDynamics documentation on Data Collectors: Explains how to configure data collectors to capture and display detailed application data within business transactions.
NEW QUESTION # 127
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