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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agents and Application Performance | 20% | - Troubleshoot performance problems - Configure alerts and identify system performance metrics - Verify agent functionality, performance, and connectivity - Determine application performance impact and scheduled reports - Monitor performance trends |
| Topic 2: Collectors, Information Points, and Service Endpoints | 25% | - Define and configure data collectors - Configure information points and service endpoints - Analyze service endpoint metrics |
| Topic 3: Health Rules, Dashboards, and Snapshots | 20% | - Create and interpret dashboards - Locate and analyze snapshots - Create and configure health rules |
| Topic 4: Business Transactions | 20% | - Determine transaction scope and rule assignment - Manage discovery and analyze transaction metrics - Create and configure business transaction settings |
| Topic 5: Troubleshooting | 15% | - Capture snapshots and troubleshoot health rule violations - Identify slow performance and errors from backend systems - Utilize dashboards to identify performance issues |
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NEW QUESTION # 89
What AppDynamics Alert Action does a Performance Analyst need to select to post an AppDynamics event to a third-party collaboration tool?
Answer: D
Explanation:
To post an AppDynamics event to a third-party collaboration tool, the Performance Analyst needs to select the " Make an HTTP Request " alert action. This action allows AppDynamics to send an HTTP request to a specified URL, which can be the endpoint provided by the third-party tool ' s API. This integration capability enables the automatic posting of events, alerts, and notifications from AppDynamics to collaboration tools, enhancing communication and response times to performance issues.
References:
AppDynamics documentation on Alert and Respond: Details the various alert actions available within AppDynamics, including the ability to make HTTP requests to integrate with external systems.
NEW QUESTION # 90
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 # 91
What is a reason for creating an Information Point?
Answer: A
Explanation:
An Information Point is created to gather application-specific business and performance metrics from a selected class and method. It enables AppDynamics to monitor code that represents a meaningful business activity even when that method is not a Business Transaction entry point. Typical examples include tracking order value, number of items processed, cache access frequency, payment amounts, or invocations of a critical internal service.
Information Points can report measurements such as calls per minute, average response time, errors per minute, and configured custom numeric values. These metrics can then be displayed in the Metric Browser, compared against baselines, incorporated into dashboards, and evaluated by health rules.
Information Points are not limited to a particular Business Transaction, making option B too restrictive.
Collecting fields specifically for Analytics queries is generally handled through transaction analytics and data collectors. Memory-leak troubleshooting instead uses memory diagnostics, object-instance tracking, heap analysis, and leak-detection capabilities.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Business Metrics, Custom Metrics, Metric Roll-Ups, Dynamic Baselines, Health Rules, and Application Instrumentation.
NEW QUESTION # 92
Which two options are forms of data collectors? (Choose two.)
Answer: D,E
Explanation:
AppDynamics supports HTTP data collectors and method invocation data collectors for enriching transaction snapshots with contextual diagnostic information.
An HTTP data collector captures selected request details associated with a Business Transaction, including URL or URI information, query or form parameters, HTTP headers, and cookies. These values help analysts distinguish transaction variants, correlate user input with application behavior, and identify request-specific causes of latency or errors. Sensitive values should be filtered or excluded through data-collection configuration.
A method invocation data collector captures information from instrumented application methods. Depending on configuration and agent support, it can collect method arguments, object properties, local or instance data, and return values. This provides code-level context when examining transaction snapshots and call graphs.
URN, URI, and SNMP are not separate AppDynamics transaction data-collector categories in this context.
URI-related values are handled under HTTP request data collection, while SNMP belongs to network- management protocols rather than Application Agent transaction diagnostics.
Relevant CAAPA topics include Transaction Data Collectors, HTTP Request Data Collection, Method Invocation Data Collection, Transaction Snapshots, Sensitive Data Filtering, and Business Transaction Diagnostics.
NEW QUESTION # 93
A Performance Analyst notices an increase in Business Transaction error rate that is much higher than normal alerts. The Performance Analyst can see these are related to the Health Rules defined for the Shopping Service that is monitored with AppDynamics Browser RUM. While troubleshooting the Performance Analyst wants details on which Browsers and Devices are affected. Which section of the Browser App Dashboard will provide this detail for a given time period?
Answer: C
Explanation:
In the Browser Real User Monitoring (RUM) Dashboard, the Usage Stats section provides insights into user demographics, including the types of browsers and devices they are using. This section would help the Performance Analyst understand which browsers and devices are affected during a specific time period when there has been an increase in the Business Transaction error rate.
References:
AppDynamics documentation on Browser RUM:
https://docs.appdynamics.com/21.6/en/end-user-monitoring/browser-monitoring/browser-real-user-monito
NEW QUESTION # 94
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