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Preparing for the Cisco 500-420 Exam requires a solid understanding of Cisco AppDynamics, as well as experience working with APM tools and practices. There are a variety of resources available to help you prepare for the exam, including online training courses, study guides, and practice exams.
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Cisco AppDynamics Associate Performance Analyst certification exam is intended for professionals who are responsible for APM and analytics, including application developers, IT operations professionals, and system administrators. 500-420 exam covers a wide range of topics, including application architecture and infrastructure, performance metrics and analysis, transaction tracing and diagnostics, and business transaction monitoring.
Cisco 500-420 certification exam is designed for professionals who are interested in validating their skills and knowledge in the area of application performance management. 500-420 Exam is designed to test the candidate's ability to identify and troubleshoot performance issues, configure and deploy AppDynamics solutions, and analyze data to optimize application performance. Cisco AppDynamics Associate Performance Analyst certification is ideal for professionals who work with AppDynamics solutions or who are interested in pursuing a career in application performance management.
NEW QUESTION # 46
Which three data points can be located by drilling down into a JDBC exit call for an Oracle backend? (Choose three.)
Answer: C,D,F
Explanation:
When drilling down into a JDBC exit call for an Oracle backend, AppDynamics provides detailed information about the call. The data points include:
Query type, which can indicate whether it's a SELECT, INSERT, UPDATE, or DELETE statement.
Statement type, which describes the nature of the SQL statement being executed.
Originating node, which identifies the node from which the JDBC call originated.
These data points help in understanding the nature and source of database operations, which can be critical for performance analysis and troubleshooting.
References:
AppDynamics documentation on Database Monitoring:
NEW QUESTION # 47
A Performance Analyst has a full set of health rules in place to proactively detect anomalies in an application.
The analyst wants to send these events to an external alerting system. Which two Create Action options allow integration with a third-party alerting system? (Choose two.)
Answer: A,F
Explanation:
HTTP Request and Custom Actions are the two action types designed to integrate AppDynamics policy events with external alerting or event-management platforms.
An HTTP Request action sends an outbound request to a configured third-party endpoint when a policy is triggered. The analyst can specify the URL, HTTP method, authentication, headers, and event payload. This is commonly used with webhook-enabled alerting, incident-management, automation, and collaboration systems.
A Custom Action extends the Controller's standard action framework through a custom action module. It is appropriate when the external platform requires specialized processing, a proprietary protocol, payload transformation, or integration logic that cannot be handled by a standard HTTP request.
Notifications primarily deliver native email or SMS messages. Diagnostics initiate troubleshooting activities such as diagnostic sessions or thread dumps, while Remediation performs corrective operations. Issue Tracking System Integrations are specifically intended for creating or updating work items in supported issue- management platforms rather than providing a general alerting integration mechanism.
Relevant CAAPA topics include Health Rules, Policies, Policy Actions, HTTP Request Actions, Custom Actions, Webhook Integration, and Third-Party Event Management.
NEW QUESTION # 48 
Refer to the exhibit. The transaction score in the graphic displays an interesting performance pattern outside of business hours on 6/16/18. Which additional performance anomaly should be of most interest to a Performance Analyst?
Answer: C
Explanation:
The performance pattern outside of business hours on 6/16/18 that would be of most interest to a Performance Analyst is the elevated response time, as indicated on 6/19/18. This is because it shows a significant spike in response time, which could indicate a performance issue that needs to be addressed. Anomalies in response time can often be more indicative of underlying problems than changes in call volume, especially when they occur outside of expected peak periods.
References:
AppDynamics documentation on Transaction Score:
https://docs.appdynamics.com/latest/en/application-monitoring/application-dashboard/transaction-score
NEW QUESTION # 49
A Performance Analyst has decided to replace a Servlet Business Transaction with a Service Endpoint. There were no Business Transaction Custom Match Rules, and the analyst created a Business Transaction Custom Exclude Rule matching the transaction URI. The analyst also created a Service Endpoint Custom Match Rule matching the URI. Which statement is true?
Answer: B
Explanation:
The custom exclude rule prevents the servlet request from being registered and monitored as a Business Transaction, while the Service Endpoint custom match rule independently instruments the matching URI as a Service Endpoint. AppDynamics therefore continues to collect Service Endpoint metrics, including average response time, calls per minute, and errors, allowing the analyst to monitor the service's performance without consuming a Business Transaction registration.
The excluded request does not produce normal Business Transaction snapshots, so the analyst cannot rely on snapshot call graphs to inspect the Service Endpoint or its downstream exit calls. Exit-point visibility is normally obtained through Business Transaction snapshots and call graphs.
EUM correlation also depends on the server-side request being represented as a correlated Business Transaction. A standalone Service Endpoint does not replace that Business Transaction correlation path and therefore cannot provide equivalent browser or mobile EUM linkage.
Relevant CAAPA Study Guide topics include Service Endpoint Detection, Custom Service Endpoint Match Rules, Business Transaction Exclude Rules, Service Endpoint Metrics, Transaction Snapshots, Exit Calls, and EUM Correlation.
NEW QUESTION # 50
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: D,E,F
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 # 51
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