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500-420 Short Quiz
5 Real Exam Questions - One at a Time - Instant or End-of-quiz Scoring.
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.)
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.
In which two features of AppDynamics can Information Points metric data be used? (Choose two.)
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.
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.
Refer to the exhibit.

Refer to the exhibit. When looking at the Transaction Score for a specific transaction, how are errors in the transaction identified?
Errors in a transaction are identified by examining the snapshots that capture the problematic transactions. By setting the appropriate time range, a Performance Analyst can drill down into the snapshots within the Error tab to identify and analyze errors. These snapshots provide detailed diagnostic information, such as stack traces, slow SQL queries, and error logs, which are vital for pinpointing the root cause of transaction errors.
AppDynamics documentation on Transaction Snapshots:
Which format is used to archive dashboard metadata?
AppDynamics dashboard metadata is archived in JSON format. JSON preserves the dashboard's structural and configuration information, including widget definitions, layout, metric references, display settings, data sources, labels, and other properties required to reconstruct the dashboard.
This format is appropriate because dashboard metadata is hierarchical configuration data rather than a flat report. A JSON archive can retain nested relationships among dashboard objects and can be exported, stored in source control, transferred between compatible Controller environments, or used as part of backup and migration procedures.
PDF is intended for rendering a visual report and does not preserve editable dashboard configuration. CSV and XLSX are tabular formats suitable for exporting metric or report data, but they cannot accurately represent the complete object structure and layout of a custom dashboard.
Therefore, when the objective is to archive the dashboard definition itself rather than merely capture its displayed output, JSON is the correct format.
Relevant CAAPA Study Guide topics include Custom Dashboards, Dashboard Import and Export, Metadata Archiving, JSON Configuration, Controller Migration, and Dashboard Backup Procedures.
What AppDynamics Alert Action does a Performance Analyst need to select to post an AppDynamics event to a third-party collaboration tool?
The correct action is Make an HTTP Request. AppDynamics uses HTTP Request actions to send event information to external systems that expose a REST API, webhook, or other HTTP-based integration endpoint. A Performance Analyst can configure the destination URL, HTTP method, headers, authentication, and request body, then include AppDynamics event variables in the payload.
This allows a health rule violation, policy trigger, or other supported event to be posted directly into a third-party collaboration platform. The external tool can then display the alert in a channel, notify an operations team, or initiate its own workflow.
Create or Update a JIRA Ticket is intended specifically for issue-tracking integration rather than general collaboration-platform messaging. Take a thread dump is a diagnostic action used to capture application thread activity. Run a script or executable on problematic nodes is a remediation action and does not directly post an event to an external collaboration service.
Relevant CAAPA Study Guide topics include Policies, Alert Actions, HTTP Request Actions, Webhook Integrations, Event Templates, Health Rule Violations, and Third-Party Notification Workflows.
500-420 free sample questions and answers
Cisco 500-420 practice quiz with correct answers for search indexing.
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Question 1
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.)
Correct answer: B, D, F
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.
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Question 2
In which two features of AppDynamics can Information Points metric data be used? (Choose two.)
Correct answer: A, D
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.
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.
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Question 3
Refer to the exhibit.

Refer to the exhibit. When looking at the Transaction Score for a specific transaction, how are errors in the transaction identified?
Correct answer: A
Errors in a transaction are identified by examining the snapshots that capture the problematic transactions. By setting the appropriate time range, a Performance Analyst can drill down into the snapshots within the Error tab to identify and analyze errors. These snapshots provide detailed diagnostic information, such as stack traces, slow SQL queries, and error logs, which are vital for pinpointing the root cause of transaction errors.
AppDynamics documentation on Transaction Snapshots:
-
Question 4
Which format is used to archive dashboard metadata?
Correct answer: D
AppDynamics dashboard metadata is archived in JSON format. JSON preserves the dashboard's structural and configuration information, including widget definitions, layout, metric references, display settings, data sources, labels, and other properties required to reconstruct the dashboard.
This format is appropriate because dashboard metadata is hierarchical configuration data rather than a flat report. A JSON archive can retain nested relationships among dashboard objects and can be exported, stored in source control, transferred between compatible Controller environments, or used as part of backup and migration procedures.
PDF is intended for rendering a visual report and does not preserve editable dashboard configuration. CSV and XLSX are tabular formats suitable for exporting metric or report data, but they cannot accurately represent the complete object structure and layout of a custom dashboard.
Therefore, when the objective is to archive the dashboard definition itself rather than merely capture its displayed output, JSON is the correct format.
Relevant CAAPA Study Guide topics include Custom Dashboards, Dashboard Import and Export, Metadata Archiving, JSON Configuration, Controller Migration, and Dashboard Backup Procedures.
-
Question 5
What AppDynamics Alert Action does a Performance Analyst need to select to post an AppDynamics event to a third-party collaboration tool?
Correct answer: A
The correct action is Make an HTTP Request. AppDynamics uses HTTP Request actions to send event information to external systems that expose a REST API, webhook, or other HTTP-based integration endpoint. A Performance Analyst can configure the destination URL, HTTP method, headers, authentication, and request body, then include AppDynamics event variables in the payload.
This allows a health rule violation, policy trigger, or other supported event to be posted directly into a third-party collaboration platform. The external tool can then display the alert in a channel, notify an operations team, or initiate its own workflow.
Create or Update a JIRA Ticket is intended specifically for issue-tracking integration rather than general collaboration-platform messaging. Take a thread dump is a diagnostic action used to capture application thread activity. Run a script or executable on problematic nodes is a remediation action and does not directly post an event to an external collaboration service.
Relevant CAAPA Study Guide topics include Policies, Alert Actions, HTTP Request Actions, Webhook Integrations, Event Templates, Health Rule Violations, and Third-Party Notification Workflows.
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