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Cisco 500-420 exam is designed for individuals who are looking to begin their career in performance analytics. 500-420 exam is also known as the Cisco AppDynamics Associate Performance Analyst certification exam. Cisco AppDynamics Associate Performance Analyst certification is ideal for those who want to learn about monitoring, testing, and analytics. 500-420 Exam is intended for professionals who are involved in performance analysis and monitoring, including application developers, support engineers, technical consultants, and IT managers.
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Cisco 500-420 Certification Exam is designed for professionals who are interested in building a career in the field of application performance management (APM) using Cisco AppDynamics. Cisco AppDynamics Associate Performance Analyst certification exam is a key step in advancing your career and gaining recognition as a knowledgeable and skilled professional in APM.
NEW QUESTION # 94
Within the configuration setting for Slow Transactions, under the "Configure Diagnostic Session Duration and Collection Rate" option, what is the default value pair for the setting "Collect up to ____snapshots per minute for _____ minutes"?
Answer: C
Explanation:
The default value pair for the setting "Collect up to ____ snapshots per minute for _____ minutes" in the configuration for Slow Transactions is 10, 10. This means that by default, the system is set to collect up to 10 snapshots per minute for a duration of 10 minutes during a diagnostic session.
References:
AppDynamics documentation on Transaction Snapshots: Outlines the default settings for diagnostic session duration and collection rates, including the collection of snapshots.
NEW QUESTION # 95
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: D
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 # 96
On a snapshot flow map, which three metrics indicate why the snapshot might have been taken? (Choose three.)
Answer: A,B,E
Explanation:
A snapshot flow map presents execution-specific timing information that helps explain why AppDynamics captured that particular transaction instance. The relevant metrics are Thread Blocking Time, Execution Time, and Asynchronous Activity Processing Time.
Execution Time shows the elapsed processing time for the transaction segment and helps determine whether the request exceeded slow or very slow transaction thresholds. Thread Blocking Time identifies time during which the executing thread was blocked or waiting, potentially because of lock contention, synchronization, resource availability, or another thread-related delay. A substantial blocking value can explain why an otherwise ordinary code path produced a slow snapshot.
Asynchronous Activity Processing Time represents time consumed by asynchronous work associated with the transaction, such as executor tasks, callbacks, or background processing correlated with the originating request. Excessive asynchronous processing can materially increase end-to-end completion time and trigger snapshot collection.
Tier Response Time and Node Response Time are aggregated performance metrics across multiple transactions. They provide useful operational context but do not directly describe the timing characteristics of one captured transaction execution.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Snapshot Flow Maps, Execution Time, Thread Blocking, Asynchronous Transaction Tracking, and Slow Transaction Diagnostics.
NEW QUESTION # 97
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: C
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 # 98
Which three data points can be located by drilling down into a JDBC exit call for an Oracle backend? (Choose three.)
Answer: B,D,E
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 # 99
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