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| Section | Objectives |
|---|---|
| Topic 1: Diagnostics and Troubleshooting | - Root cause analysis
|
| Topic 2: AppDynamics Architecture | - Controller and agents
|
| Topic 3: Monitoring and Instrumentation | - Infrastructure monitoring
|
| Topic 4: AppDynamics Fundamentals | - APM concepts and terminology
|
| Topic 5: Dashboards and Reporting | - Performance dashboards
|
| Topic 6: Alerting and Business Performance | - Business transaction performance
|
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NEW QUESTION # 46
The performance impact on the_______would lead a Performance Analyst to limit the duration and frequency of automatic diagnostic sessions.
Answer: D
Explanation:
The primary concern for a Performance Analyst when considering the impact of automatic diagnostic sessions is the application itself. Intensive diagnostic sessions can be resource-heavy, potentially affecting the application ' s performance. Therefore, it is often necessary to limit the duration and frequency of these sessions to ensure they do not negatively impact the application's end-user experience.
References:
AppDynamics documentation on Diagnostic Sessions: https://docs.appdynamics.com/latest/en/troubleshoot
/diagnostic-sessions
NEW QUESTION # 47
Which two Key Performance Indicators (KPIs) accurately provide insight into server level resource consumption? (Choose two.)
Answer: C,D
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 # 48
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 # 49
What must a Performance Analyst first configure in order to monitor end-to-end latency performance metrics in AppDynamics?
Answer: B
Explanation:
To monitor end-to-end latency performance metrics, a Performance Analyst must first define the end-to-end latency transaction. This involves configuring the business transactions to include the necessary entry and exit points that capture the complete flow of the transaction, thereby enabling the measurement of the total latency.
References:
AppDynamics documentation on Business Transactions: https://docs.appdynamics.com/latest/en/application- monitoring/business-transactions
NEW QUESTION # 50
Which statement is true for shared AppDynamics Dashboards?
Answer: B
Explanation:
A shared AppDynamics dashboard can be published through a shareable URL that allows viewers to access the dashboard without logging in to an AppDynamics account. This capability is intended for distributing operational or business-performance information to stakeholders who do not require full Controller access, such as support teams, management, or external display systems.
The dashboard owner controls whether the dashboard is shared and which information is exposed. Shared access is generally read-only, so unauthenticated viewers can examine the dashboard's widgets and current data but cannot modify its configuration, create monitoring rules, or access unrelated areas of the Controller.
Administrator access is not required merely to view a shared dashboard. Likewise, authenticated AppDynamics access is not mandatory when the dashboard has been explicitly published for external or public viewing. Network restrictions may still apply at the organization, proxy, firewall, or Controller-hosting level, but they are deployment controls rather than an AppDynamics login requirement for the shared dashboard itself.
Relevant CAAPA Study Guide topics include Custom Dashboards, Dashboard Sharing, Shareable URLs, Read-Only Access, Controller Permissions, and Role-Based Access Control.
NEW QUESTION # 51
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