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Cisco 500-420 exam is a certification test designed for individuals who want to become Cisco AppDynamics Associate Performance Analysts. 500-420 exam is designed to test the knowledge and skills of candidates in the areas of application performance management, monitoring, and analysis. Passing the exam will validate the candidate's ability to effectively use AppDynamics to identify and troubleshoot performance issues in complex application environments.
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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.
NEW QUESTION # 86
A Performance Analyst received an alert that the Average Response Time is increasing after a new marketing offer was released. Which metric would quickly help the Performance Analyst determine that users may not be critically impacted?
Answer: A
Explanation:
If the Average Response Time is increasing after the release of a new marketing offer, seeing an increase in Calls per Minute could quickly help the Performance Analyst determine that users may not be critically impacted. This increase may indicate that despite the higher average response time, more users are engaging with the application, possibly due to interest generated by the marketing offer. It suggests that the system is handling more load, which could be a factor in the increased response time.
References:
AppDynamics documentation on Performance Metrics: Discusses the implications of various key performance indicators, including how an increase in Calls per Minute can be interpreted in the context of application performance.
NEW QUESTION # 87
Which two views can a Controller-level custom dashboard provide? (Choose two.)
Answer: A,D
Explanation:
Controller-level custom dashboards in AppDynamics have the flexibility to provide views that aggregate and compare data from different applications on the same Controller, as well as offer a customized view of applications, servers, and database performance data. This capability enables a holistic view of the IT environment, facilitating cross-application insights and the ability to correlate performance across different layers of the technology stack. Such dashboards are invaluable for understanding overarching trends, pinpointing systemic issues, and driving informed decision-making across multiple applications and infrastructure components.
References:
AppDynamics documentation on Custom Dashboards: Provides detailed instructions on creating and customizing dashboards at the Controller level, including the aggregation and comparison of data from various sources.
AppDynamics documentation on Controller UI: Explains the functionalities available within the Controller UI, including the creation of comprehensive dashboards that encompass application, server, and database metrics.
NEW QUESTION # 88
Which two Key Performance Indicators (KPIs) accurately provide insight into server-level resource consumption? (Choose two.)
Answer: B,D
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 # 89
When instrumenting and configuring Transaction Detection Rules, when should Scope be used?
Answer: B
Explanation:
A Scope is used to apply Transaction Detection Rules selectively to one or more tiers that perform the same or a related application function. Scoping allows a Performance Analyst to avoid applying a custom match rule or exclude rule across the entire application when the relevant entry point, framework, class, method, or request pattern exists only within particular tiers.
For example, several web-service tiers may use the same transaction naming convention or custom entry- point logic. The analyst can group those tiers within a scope and associate the transaction detection rule with that scope. This provides consistent detection behavior while preventing the rule from affecting unrelated application tiers.
Scopes are not primarily defined for individual nodes because nodes inherit transaction detection behavior from their tier-level configuration. They are also not used for backends, which are identified through exit- point and backend detection configuration. Transaction Detection Rule scopes remain within the context of a single monitored application and are not used to distribute one rule across multiple applications.
Relevant CAAPA Study Guide topics include Transaction Detection, Rule Scopes, Tier-Level Instrumentation, Custom Match Rules, Exclude Rules, Entry-Point Detection, and Application Agent Configuration.
NEW QUESTION # 90
Which built-in scheduled report Includes load, response time, and error graphs?
Answer: A
Explanation:
The "Application Health Report" is a built-in scheduled report in AppDynamics that includes vital metrics such as load, response time, and error graphs. This report provides a comprehensive overview of the application's health and performance, making it an essential tool for Performance Analysts to regularly review and share with stakeholders to ensure the application meets performance standards and user expectations.
References:
AppDynamics documentation on Reporting: Covers the types of reports available within AppDynamics, including the Application Health Report, detailing its contents and how to schedule and customize it.
AppDynamics documentation on Application Performance Management: Provides an overview of key performance indicators and metrics critical for assessing application health, many of which are included in the Application Health Report.
NEW QUESTION # 91
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