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Cisco 500-420 exam is a vendor-specific certification that provides the candidates with the knowledge and skills required to analyze applications and infrastructure performance. Cisco AppDynamics Associate Performance Analyst certification is designed to help the candidates to gain an understanding of the fundamental concepts of performance analysis, testing, and monitoring. Cisco AppDynamics Associate Performance Analyst certification focuses on the use of Cisco AppDynamics, which is a leading application performance management solution used by companies worldwide.
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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NEW QUESTION # 89
Which permission allows snapshot archiving?
Answer: B
Explanation:
The permission to enable snapshot archiving in AppDynamics typically falls under advanced operational capabilities, such as those categorized under "Agent Advanced Operation." This permission allows users to archive transaction snapshots for long-term storage and analysis, which is essential for historical performance analysis and auditing purposes.
References:
AppDynamics documentation on Role-Based Access Control: Explains the different permissions and roles within AppDynamics, including those related to advanced agent operations and snapshot archiving.
NEW QUESTION # 90
What is a reason for creating an Information Point?
Answer: A
Explanation:
An Information Point is created to gather application-specific business and performance metrics from a selected class and method. It enables AppDynamics to monitor code that represents a meaningful business activity even when that method is not a Business Transaction entry point. Typical examples include tracking order value, number of items processed, cache access frequency, payment amounts, or invocations of a critical internal service.
Information Points can report measurements such as calls per minute, average response time, errors per minute, and configured custom numeric values. These metrics can then be displayed in the Metric Browser, compared against baselines, incorporated into dashboards, and evaluated by health rules.
Information Points are not limited to a particular Business Transaction, making option B too restrictive.
Collecting fields specifically for Analytics queries is generally handled through transaction analytics and data collectors. Memory-leak troubleshooting instead uses memory diagnostics, object-instance tracking, heap analysis, and leak-detection capabilities.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Business Metrics, Custom Metrics, Metric Roll-Ups, Dynamic Baselines, Health Rules, and Application Instrumentation.
NEW QUESTION # 91
What is the Application Agent limit for Service Endpoints with respect to Controller and Agent configurations?
Answer: D
Explanation:
The Application Agent supports a default maximum of 50 Service Endpoints per entry point type. An entry point type represents the technology or execution mechanism through which the monitored request enters the application, such as a servlet, web service, message listener, or asynchronous processing framework.
This limit prevents excessive endpoint registration and metric creation at both the Agent and Controller layers. When Service Endpoint detection rules identify more endpoints than the configured threshold for a particular entry point type, the Agent restricts registration to the permitted maximum. The limit can be governed through the relevant Agent node-property configuration, but the standard tested value is 50.
The asynchronous-worker-thread options are too narrowly scoped and do not describe the general Service Endpoint registration limit. Likewise, 25 endpoints per entry point type is not the standard default Application Agent threshold.
This distinction is important because Service Endpoints generate independent performance metrics while remaining subordinate to the associated Business Transaction. Relevant CAAPA Study Guide topics include Service Endpoint Detection, Agent and Controller Limits, Entry Point Types, Agent Node Properties, Metric Registration, and Business Transaction Visibility.
NEW QUESTION # 92
What are two examples of backend calls? (Choose two.)
Answer: A,B
Explanation:
A remote services call and a tier-to-tier request are examples of outbound backend or dependency calls made while processing a Business Transaction.
A remote services call occurs when application code invokes an external HTTP service, web service, messaging destination, or another remote system. AppDynamics detects the associated exit point and reports metrics such as call count, response time, and errors. When the remote destination is not instrumented, it is typically represented as a backend or remote service on the application flow map.
A tier-to-tier request occurs when one monitored application tier calls another instrumented tier.
AppDynamics correlates the outbound exit call with the downstream entry point, producing cross-tier transaction visibility and showing how much downstream processing contributes to total response time.
An asynchronous request represents an execution or thread-handoff pattern and does not inherently constitute a backend call; it may execute entirely within the same tier. A browser request is an inbound entry-point request from an end user, not an outbound dependency invocation.
Relevant CAAPA Study Guide topics include Backend Detection, Exit Calls, Remote Services, Cross-Tier Correlation, Tier-to-Tier Calls, Business Transaction Flow Maps, and Asynchronous Transaction Tracking.
NEW QUESTION # 93
Which AppDynamics option will allow a Performance Analyst to compare and filter related servers using custom metadata within your environment?
Answer: C
Explanation:
Server Tagging in AppDynamics allows a Performance Analyst to compare and filter related servers by using custom metadata. This feature enables users to group and organize their servers based on criteria that make sense for their environment, such as role, location, environment type, or any other custom metadata.
References:
AppDynamics documentation on Server Tagging:
https://docs.appdynamics.com/latest/en/infrastructure-visibility/infrastructure-visibility-settings/server-tags
NEW QUESTION # 94
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