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Cisco 500-420, also known as the Cisco AppDynamics Associate Performance Analyst certification exam, is designed to test the skills and knowledge of professionals who want to demonstrate their understanding of application performance management (APM) and analytics using Cisco AppDynamics. 500-420 Exam is designed to assess candidates' ability to leverage the Cisco AppDynamics platform to monitor, troubleshoot, and optimize application performance in complex environments.
To be successful in a professional exam like the Cisco 500-420 exam, you must know the criteria to pass it. You should know the type of Cisco AppDynamics Associate Performance Analyst questions, the pattern of the Cisco AppDynamics Associate Performance Analyst exam, and the time limit to complete the 500-420 Exam. All these factors help you pass the Cisco 500-420 exam. Prep4King is your reliable partner in getting your 500-420 certification. The Cisco 500-420 exam dumps help you achieve your professional goals.
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 # 16
What are two options tor sharing snapshot details from the snapshot window? (Choose two.)
Answer: B,E
Explanation:
To share snapshot details from the snapshot window in AppDynamics, the options to " Download PDF " and " Export " are typically used. " Download PDF " allows users to generate a PDF report of the snapshot details, providing a convenient and portable format for sharing and review. The " Export " option enables the extraction of snapshot data in various formats (e.g., CSV, XML), facilitating further analysis or sharing with other tools and stakeholders.
References:
AppDynamics documentation on Snapshots: This section covers how snapshots capture detailed performance data for transactions, including how to share and export this information for collaborative analysis.
NEW QUESTION # 17
A Performance Analyst has an urgent need to gather more data for an ongoing issue. What should the Performance Analyst do?
Answer: D
Explanation:
If a Performance Analyst has an urgent need to gather more data for an ongoing issue, they should enable Development Level Monitoring. This monitoring level increases the amount of detailed diagnostic data collected by the agent, such as snapshots and transaction traces, which can provide deeper insights into the issue at hand.
References:
AppDynamics documentation on Monitoring Levels: Describes the different levels of monitoring available, including Development Level Monitoring and the types of data each level collects.
NEW QUESTION # 18
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 # 19
Which view allows a Performance Analyst to visualize a single aggregated value representing all of a server's CPU, memory, disk, and network I/O utilization?
Answer: D
Explanation:
The Tiers and Nodes - Health tab provides a consolidated health representation for the selected server or node. It summarizes underlying infrastructure-resource behavior into a single health-oriented value or status, incorporating indicators associated with processor utilization, memory consumption, disk activity, and network I/O. This enables the Performance Analyst to identify an unhealthy or resource-constrained node quickly without first examining each hardware metric independently.
The Hardware tab is used for deeper analysis of the individual resource categories. It presents separate CPU, memory, disk, and network measurements, allowing the analyst to determine which specific resource is responsible after the Health view indicates degradation.
The Application Dashboard focuses on overall application behavior, Business Transactions, tiers, backends, and application flow rather than providing one aggregated server-resource value. The Metric Browser offers detailed time-series access to individual infrastructure metrics, but it requires manual navigation and comparison rather than presenting the consolidated server-health visualization.
Relevant CAAPA Study Guide topics include Tiers and Nodes Dashboard, Node Health, Server Resource Monitoring, Hardware Metrics, CPU and Memory Utilization, Disk and Network I/O, and Infrastructure-to- Application Correlation.
NEW QUESTION # 20
Which two Key Performance Indicators (KPIs) accurately provide insight into server-level resource consumption? (Choose two.)
Answer: B,E
Explanation:
Memory Used% and CPU %Busy are the two KPIs that directly measure server-level resource consumption.
Memory Used% represents the proportion of physical memory currently consumed on the monitored server.
A sustained high value can indicate memory pressure, excessive process allocation, insufficient capacity, or conditions that may lead to paging and degraded application performance.
CPU %Busy measures the percentage of processor capacity actively being used. It is a primary indicator of compute-resource utilization and helps identify CPU saturation, processing bottlenecks, or insufficient server capacity. Persistent high CPU utilization may correlate with increased response time, transaction queuing, and reduced throughput.
The remaining options describe availability, application behavior, or transaction performance rather than direct infrastructure-resource consumption. Calls per Minute measures workload volume, Average Response Time measures transaction latency, Availability indicates whether a system or service is reachable, and Application Restarts records lifecycle events.
Relevant CAAPA Study Guide topics include Server Visibility, Infrastructure Monitoring, Hardware Resource Metrics, CPU Utilization, Memory Utilization, and Correlating Server Health with Application Performance.
NEW QUESTION # 21
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