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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting | 15% | - Capture snapshots and troubleshoot health rule violations - Identify slow performance and errors from backend systems - Utilize dashboards to identify performance issues |
| Topic 2: Agents and Application Performance | 20% | - Configure alerts and identify system performance metrics - Monitor performance trends - Verify agent functionality, performance, and connectivity - Troubleshoot performance problems - Determine application performance impact and scheduled reports |
| Topic 3: Business Transactions | 20% | - Manage discovery and analyze transaction metrics - Determine transaction scope and rule assignment - Create and configure business transaction settings |
| Topic 4: Health Rules, Dashboards, and Snapshots | 20% | - Locate and analyze snapshots - Create and configure health rules - Create and interpret dashboards |
| Topic 5: Collectors, Information Points, and Service Endpoints | 25% | - Configure information points and service endpoints - Define and configure data collectors - Analyze service endpoint metrics |
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NEW QUESTION # 95
Business Transaction Discovery Sessions work with which two code languages? (Choose two.)
Answer: B,D
Explanation:
Business Transaction Discovery Sessions are supported for Java and .NET applications. These sessions help a Performance Analyst identify candidate transaction entry points when automatic discovery does not detect a proprietary framework, background process, scheduled task, or other nonstandard execution path.
During a discovery session, the Application Agent observes executed application code and allows the analyst to browse relevant classes and methods. The selected method can then be used to create or refine a Custom Match Rule, establishing a new Business Transaction entry point with appropriate naming and scope.
Java and .NET agents provide the runtime instrumentation and class-method visibility required for this workflow. C++, PHP, and Node.js applications have their own supported monitoring and transaction- detection capabilities, but they do not use the Business Transaction Discovery Session feature referenced in this question.
Discovery sessions should be run for a controlled period while representative application traffic exercises the target code path. The resulting class and method information can then be reviewed before creating a permanent transaction detection rule.
Relevant CAAPA Study Guide topics include Business Transaction Discovery Sessions, Java Agent, .NET Agent, Class and Method Browsing, Custom Match Rules, Entry-Point Detection, and Transaction Naming.
NEW QUESTION # 96
What is the Node limit of the maximum Service Endpoints per node?
Answer: C
Explanation:
AppDynamics imposes a limit on the number of Service Endpoints that can be registered per node to ensure manageable performance and overhead. The limit per node is set to 100 Service Endpoints, which is a balance between providing detailed monitoring and maintaining application performance.
References:
AppDynamics documentation on Service Endpoints:
https://docs.appdynamics.com/latest/en/application-monitoring/monitor-service-endpoints
NEW QUESTION # 97
Business users of an e-commerce site want to see the running aggregate checkout value stored in the Java class Checkout. How would a Performance Analyst capture this data?
Answer: A
Explanation:
A method invocation data collector is used because the required business value exists inside the Java application's Checkout class rather than in the HTTP request.
The Performance Analyst configures the collector against the appropriate class and method, then identifies the value through a method argument, return value, object field, or getter chain. AppDynamics captures that checkout value when the configured method executes and associates it with the corresponding Business Transaction data. The collected value can subsequently be used for business analysis and aggregation, allowing stakeholders to report total or running checkout value over a selected time period.
A dashboard widget can visualize or aggregate data that AppDynamics already collects, but it cannot independently extract a value from Java code. An HTTP data collector is appropriate only when the required value is contained in request parameters, headers, cookies, session attributes, or other HTTP data. A REST export retrieves existing Controller data and therefore does not solve the initial instrumentation requirement.
Relevant CAAPA Study Guide topics include Method Invocation Data Collectors, Java Class and Method Instrumentation, Getter Chains, Business Data Collection, Transaction Analytics, and Custom Dashboard Visualization.
NEW QUESTION # 98
Which two Key Performance Indicators (KPIs) accurately provide insight into server level resource consumption? (Choose two.)
Answer: C,F
Explanation:
Key Performance Indicators (KPIs) such as "CPU %Busy" and "Memory Used%" are critical for providing insights into server-level resource consumption. "CPU %Busy" indicates the percentage of time the CPU is actively working on processes, reflecting the server's processing workload. "Memory Used%" shows the proportion of memory utilized, indicating how much of the server's RAM is being consumed by applications and processes. These KPIs are essential for understanding and managing server performance and resource allocation.
References:
AppDynamics documentation on Server Monitoring: Includes information on monitoring server-level metrics, including CPU and memory utilization, to assess resource consumption.
NEW QUESTION # 99
What does the Live Preview option in a Business Transaction Discovery Session allow a user to do?
Answer: D
Explanation:
The Live Preview option in a Business Transaction Discovery Session in AppDynamics allows a user to verify the effectiveness of newly configured Transaction Discovery Rules. This feature provides real-time feedback on how these rules identify and categorize business transactions, enabling users to adjust and fine-tune the rules to ensure accurate and meaningful transaction monitoring.
References:
AppDynamics documentation on Business Transaction Management: Includes information on Business Transaction Discovery Sessions and the use of Live Preview to validate Transaction Discovery Rules.
NEW QUESTION # 100
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