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Cisco 500-420 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Health Rules, Alerts, and Dashboards20%- Alert configuration and actions
- Creating and managing health rules
- Custom dashboards and reporting
Topic 2: Business Transactions25%- Slow, error, and stalled transaction identification
- Transaction detection and configuration
- Metrics analysis and baselining
Topic 3: Flow Maps and Application Architecture20%- Environment and topology overview
- Component dependency visualization
- Interpreting flow maps
Topic 4: Information Points, Collectors, and Service Endpoints20%- Configuring information points
- Service endpoint monitoring
- Database and custom collectors
Topic 5: Troubleshooting and Performance Analysis15%- Analyzing call graphs and snapshots
- Remediation and optimization steps
- Identifying bottlenecks and root causes

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Cisco AppDynamics Associate Performance Analyst Sample Questions (Q95-Q100):

NEW QUESTION # 95
Which two views can a Controller-level custom dashboard provide? (Choose two.)

Answer: A,B

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 # 96
In which two features of AppDynamics can Information Points metric data be used? (Choose two.)

Answer: A,B

Explanation:
Information Points in AppDynamics are custom metrics that track specific data within your applications, such as method invocations or the value of method arguments. These metrics can be utilized in various features of AppDynamics, most notably in "Alerting" and "Custom Dashboards." Alerting allows you to set up notifications based on the thresholds set for Information Points, ensuring that teams are promptly informed about significant changes or anomalies. Custom Dashboards enable the visualization of Information Points metrics alongside other key performance indicators, providing a comprehensive view of application health and performance tailored to specific needs.
References:
AppDynamics documentation on Information Points: Explains how to create and use Information Points to monitor specific business-relevant metrics.
AppDynamics documentation on Alerting: Details the process of setting up health rules and alerts based on various metrics, including those from Information Points.
AppDynamics documentation on Custom Dashboards: Guides on how to create dashboards that incorporate a wide range of metrics, including Information Points, for customized monitoring.


NEW QUESTION # 97
A development team responsible for the front-end shopping application has asked to receive an email every time the Java container thread count exceeds 25. Which alert and response capabilities settings will provide the email?

Answer: A

Explanation:
In AppDynamics, you can create health rules to monitor various metrics and set up actions based on the thresholds defined for these metrics. For monitoring Java container thread counts, you can set a health rule based on Node Health - specifically on thread pools - to trigger when the thread count exceeds a specific value. The Notification Action can then be configured to send an email to the development team whenever this threshold is breached.
References:
AppDynamics documentation on Health Rules:
https://docs.appdynamics.com/21.6/en/infrastructure-visibility/health-rules


NEW QUESTION # 98
A Performance Analyst is evaluating the performance of a shopping application from a customer perspective.
Which three Key Performance Indicators (KPIs) are quantifiable measurements used to determine user experience? (Choose three.)

Answer: A,C,D

Explanation:
The three KPIs that most directly quantify customer experience are Business Transactions 94th Percentile Response Time, End User Response Time, and Business Transactions Errors per Minute.
The 94th percentile response time indicates how long the majority of Business Transaction executions take while reducing the masking effect of averages. It reveals whether a meaningful portion of customers is experiencing slow checkout, search, cart, or order-processing operations.
End User Response Time measures the customer-observed time required for a browser or mobile interaction to complete. It includes client-side processing, network latency, content loading, and server response, making it the most direct representation of perceived application performance.
Business Transactions Errors per Minute quantifies failed application operations. A rising error rate can represent unsuccessful logins, payment failures, rejected orders, or other outcomes that directly impair the customer journey.
Network incoming errors, Machine Agent availability, and CPU utilization are valuable infrastructure indicators, but they measure supporting-system health rather than customer experience itself.
Relevant CAAPA Study Guide topics include End User Monitoring, Business Transaction Performance, Percentile Response Time, Error Monitoring, Customer Experience KPIs, and Application Performance Correlation.


NEW QUESTION # 99

Refer to the exhibit. Using this heap utilization graph, which method is used to confirm if a memory leak is occurring during a certain time frame?

Answer: B

Explanation:
To confirm if a memory leak is occurring, one should refer to the Tiers and Nodes section of the AppDynamics Controller UI, navigate to the Memory tab, and observe the Heap Utilization over time in relation to the Heap's Current Usage (MB) versus the Maximum (MB) allocated. Consistent growth in heap utilization or an upward trend that does not decrement even after garbage collection indicates a potential memory leak.References:AppDynamics documentation on Memory Leak Detection and Heap Analysis.


NEW QUESTION # 100
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