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Cisco 500-420 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Health Rules, Dashboards, and Snapshots20%- Locate and analyze snapshots
- Create and interpret dashboards
- Create and configure health rules
Topic 2: Collectors, Information Points, and Service Endpoints25%- Configure information points and service endpoints
- Define and configure data collectors
- Analyze service endpoint metrics
Topic 3: Business Transactions20%- Manage discovery and analyze transaction metrics
- Determine transaction scope and rule assignment
- Create and configure business transaction settings
Topic 4: Agents and Application Performance20%- Monitor performance trends
- Troubleshoot performance problems
- Configure alerts and identify system performance metrics
- Determine application performance impact and scheduled reports
- Verify agent functionality, performance, and connectivity
Topic 5: Troubleshooting15%- 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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Cisco AppDynamics Associate Performance Analyst Sample Questions (Q40-Q45):

NEW QUESTION # 40
Which Application Dashboard view categorizes transactions by load, response time, errors, slow transactions, and stalled transactions in a single aggregated value for a specific time range?

Answer: B

Explanation:
The Transaction Score view in the Application Dashboard categorizes transactions by load, response time, errors, slow transactions, and stalled transactions. It provides an aggregated value for a specific time range, giving an at-a-glance indication of the health and performance of business transactions.
References:
AppDynamics documentation on Transaction Score:
https://docs.appdynamics.com/latest/en/application-monitoring/application-dashboard


NEW QUESTION # 41
Which view allows a Performance Analyst to visualize a single aggregated value representing all of a server's CPU, memory, disk, and network I/O utilization?

Answer: A

Explanation:
The Tiers and Nodes - Health tab provides a consolidated health representation for the selected server or node. It summarizes underlying infrastructure-resource behavior into a single health-oriented value or status, incorporating indicators associated with processor utilization, memory consumption, disk activity, and network I/O. This enables the Performance Analyst to identify an unhealthy or resource-constrained node quickly without first examining each hardware metric independently.
The Hardware tab is used for deeper analysis of the individual resource categories. It presents separate CPU, memory, disk, and network measurements, allowing the analyst to determine which specific resource is responsible after the Health view indicates degradation.
The Application Dashboard focuses on overall application behavior, Business Transactions, tiers, backends, and application flow rather than providing one aggregated server-resource value. The Metric Browser offers detailed time-series access to individual infrastructure metrics, but it requires manual navigation and comparison rather than presenting the consolidated server-health visualization.
Relevant CAAPA Study Guide topics include Tiers and Nodes Dashboard, Node Health, Server Resource Monitoring, Hardware Metrics, CPU and Memory Utilization, Disk and Network I/O, and Infrastructure-to- Application Correlation.


NEW QUESTION # 42
Developers and operations personnel complain the Controller tracks many irrelevant Java classes and methods. How does a Performance Analyst exclude this unhelpful information?

Answer: D

Explanation:
To streamline the monitoring process and enhance the relevance of collected data, AppDynamics allows Performance Analysts to exclude certain Java classes and methods from instrumentation. This is done through the " Configuration > Instrumentation > Call Graph Settings " menu, where irrelevant packages and classes can be specified for exclusion. This approach prevents the AppDynamics agent from tracking unnecessary or irrelevant methods, thus reducing overhead and focusing on the most critical aspects of application performance.
References:
AppDynamics documentation on Call Graph Settings: This section details how to configure call graph settings, including the exclusion of specific classes and methods from instrumentation, to optimize performance monitoring.


NEW QUESTION # 43
Which two views can a Controller-level custom dashboard provide? (Choose two.)

Answer: A,C

Explanation:
Controller-level custom dashboards in AppDynamics have the flexibility to provide views that aggregate and compare data from different applications on the same Controller, as well as offer a customized view of applications, servers, and database performance data. This capability enables a holistic view of the IT environment, facilitating cross-application insights and the ability to correlate performance across different layers of the technology stack. Such dashboards are invaluable for understanding overarching trends, pinpointing systemic issues, and driving informed decision-making across multiple applications and infrastructure components.
References:
AppDynamics documentation on Custom Dashboards: Provides detailed instructions on creating and customizing dashboards at the Controller level, including the aggregation and comparison of data from various sources.
AppDynamics documentation on Controller UI: Explains the functionalities available within the Controller UI, including the creation of comprehensive dashboards that encompass application, server, and database metrics.


NEW QUESTION # 44
Which two methods are used to plot Host CPU and GC Time Spent in a single view? (Choose two.)

Answer: A,D

Explanation:
To plot Host CPU and GC (Garbage Collection) Time Spent in a single view, the "JMX tab under 'Tiers and Nodes'" and the "Metrics Browser" are the appropriate methods. TheJMX tab provides access to Java Management Extensions (JMX) metrics, including those related to GC time. The Metrics Browser allows for the customization and aggregation of various metrics, including Host CPU usage and GC metrics, enabling a combined view of these critical performance indicators.
References:
AppDynamics documentation on Monitoring Tiers and Nodes: Discusses the JMX metrics available for Java applications, including garbage collection details.
AppDynamics documentation on the Metrics Browser: Describes how to use the Metrics Browser to view and analyze a wide range of performance metrics.


NEW QUESTION # 45
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