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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agents and Application Performance | 20% | - Monitor performance trends - Configure alerts and identify system performance metrics - Troubleshoot performance problems - Verify agent functionality, performance, and connectivity - Determine application performance impact and scheduled reports |
| Topic 2: Health Rules, Dashboards, and Snapshots | 20% | - Create and configure health rules - Create and interpret dashboards - Locate and analyze snapshots |
| Topic 3: Collectors, Information Points, and Service Endpoints | 25% | - Analyze service endpoint metrics - Define and configure data collectors - Configure information points and service endpoints |
| Topic 4: Business Transactions | 20% | - Manage discovery and analyze transaction metrics - Create and configure business transaction settings - Determine transaction scope and rule assignment |
| Topic 5: Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations |
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NEW QUESTION # 17
Which three data points are visible when drilled into a call graph? (Choose three.)
Answer: A,C,D
Explanation:
When a Performance Analyst drills into a call graph, AppDynamics exposes method-level execution details that identify where transaction processing time was consumed. The method name identifies the specific application method invoked within the transaction execution path. Method time in milliseconds shows how much time was attributed to that method, enabling the analyst to isolate expensive code paths, compare parent and child execution time, and determine whether latency originates in application code or a downstream dependency.
The call graph can also display Service Endpoints encountered during transaction processing. Service Endpoints represent independently monitored application services or methods and help the analyst understand how internal service execution contributes to the overall Business Transaction response time.
The Business Transaction name and user-experience classification-such as normal, slow, very slow, stalled, or error-are transaction-snapshot context rather than method-level call-graph drill-down data. They describe the transaction as a whole, while the call graph focuses on the execution sequence and timing of instrumented methods and service interactions.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Call Graph Analysis, Method Execution Time, Service Endpoints, Code-Level Diagnostics, and Business Transaction Troubleshooting.
NEW QUESTION # 18
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 URIthat 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 # 19
What are two differences between creating a Transaction Group using the 'Create Group' action and defining a Transaction Detection rule? (Choose two.)
Answer: A,D
Explanation:
Creating a Transaction Group using the 'Create Group' action in AppDynamics allows for the aggregation of data from multiple transactions under a single group, facilitating a consolidated view of similar transactions.
This differs from defining a Transaction Detection Rule, which typically focuses on identifying and categorizing individual transactions based on specific criteria. Transaction Groups do not change the names of incoming requests nor reduce the number of overall business transactions; instead, they provide a method for organizing and analyzing related transactions collectively, offering a streamlined approach compared to individually configuring Transaction Detection Rules for each transaction.
References:
AppDynamics documentation on Business Transactions: Covers the concept of Transaction Groups and their role in organizing and analyzing transaction data, as well as the process for creating and managing Transaction Detection Rules.
NEW QUESTION # 20
Which feature can be used to determine if a given Java class is visible in AppDynamics?
Answer: B
Explanation:
To determine if a given Java class is visible in AppDynamics, the "Preview Business transactions" feature in a Business Transaction Discovery Session can be used. This feature allows users to validate and preview the detection of business transactions, which includes ensuring that specific Java classes and methods are being correctly identified and monitored by AppDynamics.
References:
AppDynamics documentation on Business Transaction Detection: Explains how to conduct a Business Transaction Discovery Session and use the preview feature to validate the visibility and detection of business transactions, including specific Java classes.
NEW QUESTION # 21
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 # 22
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