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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Information Points, Collectors, and Service Endpoints | 20% | - Database and custom collectors - Configuring information points - Service endpoint monitoring |
| Topic 2: Troubleshooting and Performance Analysis | 15% | - Analyzing call graphs and snapshots - Identifying bottlenecks and root causes - Remediation and optimization steps |
| Topic 3: Health Rules, Alerts, and Dashboards | 20% | - Alert configuration and actions - Creating and managing health rules - Custom dashboards and reporting |
| Topic 4: Business Transactions | 25% | - Metrics analysis and baselining - Transaction detection and configuration - Slow, error, and stalled transaction identification |
| Topic 5: Flow Maps and Application Architecture | 20% | - Interpreting flow maps - Environment and topology overview - Component dependency visualization |
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NEW QUESTION # 39
What AppDynamics Alert Action does a Performance Analyst need to select to post an AppDynamics event to a third-party collaboration tool?
Answer: C
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 # 40
Which feature can be used to determine if a given Java class is visible in AppDynamics?
Answer: D
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 # 41
A Performance Analyst has an urgent need to gather more data for an ongoing issue. What should the Performance Analyst do?
Answer: D
Explanation:
If a Performance Analyst has an urgent need to gather more data for an ongoing issue, they should enable Development Level Monitoring. This monitoring level increases the amount of detailed diagnostic data collected by the agent, such as snapshots and transaction traces, which can provide deeper insights into the issue at hand.
References:
AppDynamics documentation on Monitoring Levels: Describes the different levels of monitoring available, including Development Level Monitoring and the types of data each level collects.
NEW QUESTION # 42
Which item supplements business transaction and transaction analytics data with application data?
Answer: D
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 # 43
Which two Key Performance Indicators (KPIs) accurately provide insight into server-level resource consumption? (Choose two.)
Answer: C,E
Explanation:
Memory Used% and CPU %Busy are the two KPIs that directly measure server-level resource consumption.
Memory Used% represents the proportion of physical memory currently consumed on the monitored server.
A sustained high value can indicate memory pressure, excessive process allocation, insufficient capacity, or conditions that may lead to paging and degraded application performance.
CPU %Busy measures the percentage of processor capacity actively being used. It is a primary indicator of compute-resource utilization and helps identify CPU saturation, processing bottlenecks, or insufficient server capacity. Persistent high CPU utilization may correlate with increased response time, transaction queuing, and reduced throughput.
The remaining options describe availability, application behavior, or transaction performance rather than direct infrastructure-resource consumption. Calls per Minute measures workload volume, Average Response Time measures transaction latency, Availability indicates whether a system or service is reachable, and Application Restarts records lifecycle events.
Relevant CAAPA Study Guide topics include Server Visibility, Infrastructure Monitoring, Hardware Resource Metrics, CPU Utilization, Memory Utilization, and Correlating Server Health with Application Performance.
NEW QUESTION # 44
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