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Cisco 500-420 exam is intended for individuals who have a basic understanding of application performance management, including application monitoring, troubleshooting, and tuning. 500-420 exam validates your ability to install, configure, and manage Cisco AppDynamics, and provides a foundation for implementing more advanced APM practices.
Cisco 500-420 exam is an excellent certification for individuals who want to start their career in performance analytics. Cisco AppDynamics Associate Performance Analyst certification provides the candidates with the knowledge and skills required to analyze and troubleshoot performance issues in applications and infrastructure. Cisco AppDynamics Associate Performance Analyst certification is vendor-specific and focuses on the use of Cisco AppDynamics, which is a leading application performance management solution. 500-420 Exam covers topics such as performance testing, monitoring, and troubleshooting, and consists of multiple-choice questions and simulations.
NEW QUESTION # 110
A Performance Analyst has a third-party event management system API and wants to use the event management system to send alerts to Level 1 support. Which action is available in the AppDynamics Actions menu to configure this integration?
Answer: B
Explanation:
The Performance Analyst should configure an HTTP Request action. This action enables AppDynamics to invoke a third-party event management system's API when a policy is triggered by a health rule violation or another supported event.
The HTTP Request action can be configured with the target endpoint URL, HTTP method, authentication information, request headers, and an event payload. AppDynamics variables can be inserted into the payload so the external system receives useful alert context, such as the application name, affected Business Transaction, tier, node, health rule, severity, event time, and violation details. The event management platform can then route the incident to Level 1 support according to its own escalation and assignment workflow.
Send an Email and Send an SMS are direct notification mechanisms and do not use the third-party system's API. Remediation is intended to execute corrective actions, scripts, or operational responses rather than transmit an alert to an external event-management endpoint.
Relevant CAAPA Study Guide topics include Health Rules, Policies, Actions, HTTP Request Actions, Third- Party Integrations, Event Payload Templates, and Alert Escalation Workflows.
NEW QUESTION # 111
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
Answer: C
Explanation:
The "Method Invocation Data Collector" is specifically designed to capture code-level data such as method arguments, variables, and return values. This type of data collector enables deep visibility into the execution of methods within transactions, providing valuable insights into the application's behavior and performance. This detailed level of monitoring is essential for diagnosing complex issues and understanding the inner workings of business transactions.
References:
AppDynamics documentation on Data Collectors: Details the types of data collectors available, including Method Invocation Data Collectors, and how they can be used to capture detailed code-level data.
NEW QUESTION # 112
Which data type can be collected as custom data by an Information Point?
Answer: A
Explanation:
An AppDynamics Information Point can collect String values as custom data. Information Points instrument selected application methods so that analysts can monitor method-level performance and capture business context without defining the method as a complete Business Transaction.
Custom data is typically extracted from a method argument, return value, object field, or getter chain. The resulting String value can provide contextual information such as an order category, customer type, transaction status, product identifier, or processing state. This data is associated with the monitored method execution and can support detailed troubleshooting and business-level analysis.
Numeric values such as integers or floating-point numbers are generally treated as candidates for custom metrics, where AppDynamics can aggregate and report values over time. Boolean values are not the designated custom-data type for this Information Point configuration. The distinction is therefore between textual custom data, represented as a String, and numerical measurements intended for metric aggregation.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Getter Chains, Custom Data Collection, Custom Metrics, Method Arguments, Return Values, and Business Context Capture.
NEW QUESTION # 113
When a manual diagnostic session is triggered, what snapshots are captured?
Answer: A
Explanation:
A manual diagnostic session causes AppDynamics to collect detailed transaction snapshots for the selected Business Transaction during the active diagnostic period. When an instance of that Business Transaction crosses multiple instrumented tiers or nodes, the snapshot collection context is propagated with the transaction. Consequently, AppDynamics captures the participating transaction segments from all nodes through which the Business Transaction passes, producing an end-to-end distributed snapshot.
The capture is not restricted to transactions classified as slow, very slow, or errors. Those classifications are commonly used by automatic diagnostic-session and snapshot-triggering mechanisms, whereas a manual session is deliberately initiated to gather deeper diagnostic evidence, including transactions that might otherwise be considered normal.
Option D is incomplete because the triggering node initiates snapshot collection, but the resulting distributed snapshot can include downstream nodes that participate in the transaction. Options A and C incorrectly limit collection to performance-policy violations and error conditions.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Manual Diagnostic Sessions, Distributed Transaction Correlation, Call Graph Collection, Business Transaction Health, and Cross-Tier Transaction Tracing.
NEW QUESTION # 114 
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: D
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 # 115
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