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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.
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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.
NEW QUESTION # 89
A Performance Analyst needs to define a special database Key Performance Indicator (KPI). Which menu options should be used?
Answer: D
Explanation:
A database-specific KPI is created through Databases > Configuration > Custom Metrics. This area allows the Performance Analyst to define additional database measurements that are not included among the standard metrics collected by Database Visibility. A custom metric is typically based on a database query that returns a numeric value, such as queue depth, replication lag, application-specific record counts, storage utilization, or another operational indicator important to the organization.
After configuration, the Database Agent executes the metric query according to the defined collection interval and reports the resulting value to the Controller. The KPI can then be reviewed with other database metrics and incorporated into dashboards, health rules, baselines, and alerting policies.
The Metric Browser is used to inspect and analyze metrics already being collected; it is not the primary location for defining a new database custom metric. Application Instrumentation configures Application Agent transaction detection and code-level monitoring, while Slow Transaction Thresholds controls Business Transaction performance classification rather than database KPI creation.
Relevant CAAPA Study Guide topics include Database Visibility, Database Agent Configuration, Custom Database Metrics, Metric Queries, KPI Monitoring, Health Rules, and Metric Browser Analysis.
NEW QUESTION # 90
Which two roll-up types can be configured for an Information Point? (Choose two.)
Answer: A,D
Explanation:
An Information Point custom metric can be configured with the roll-up types Average and Sum. The selected roll-up determines how values reported by repeated executions of the monitored class and method are aggregated during each metric reporting interval.
Average calculates the mean of all collected values within the interval. This is appropriate for measurements such as average item-processing time, average order value, or another numeric value where typical behavior is the primary concern.
Sum adds all collected values reported during the interval. It is appropriate for cumulative business or operational measurements, such as the total number of items processed, total transaction value, or total quantity handled by the instrumented method.
Max is not one of the configurable Information Point roll-up choices in this context. Although maximum values can appear in other AppDynamics metric-analysis scenarios, they are not selected as an Information Point custom-metric roll-up type. Count is represented separately through invocation-frequency metrics such as Calls per Minute rather than as the configured roll-up method for the collected numeric value.
Relevant CAAPA Study Guide topics include Information Points, Custom Metrics, Metric Aggregation, Average Roll-Up, Sum Roll-Up, Method Invocation Monitoring, and Calls per Minute.
NEW QUESTION # 91
A Performance Analyst has noticed a significant decrease in an application's workload (calls/min) and is trying to identify the root cause. Which option will give the Performance Analyst insight into the behavior of the affected Business Transactions?
Answer: B
Explanation:
When a Performance Analyst observes a significant decrease in an application's workload (calls/min), reviewing the "Top Business Transactions by Load" in the Application Dashboard can provide valuable insights. This feature allows the analyst to quickly identify which business transactions have experienced the most significant changes in load, potentially pinpointing the root cause of the overall workload decrease. It offers a focused view of the application's performance, highlighting areas that may require further investigation or immediate action.
References:
AppDynamics documentation on Application Dashboard: Describes the features and capabilities of the Application Dashboard, including how to view and analyze the top business transactions by load.
AppDynamics documentation on Business Transactions: Details the importance of monitoring business transactions and how they can be used to understand application performance trends.
NEW QUESTION # 92 
Refer to the exhibit. Using this heap utilization graph, which method is used to confirm if a memory leak is occurring during a certain time frame?
Answer: D
Explanation:
To confirm if a memory leak is occurring, one should refer to the Tiers and Nodes section of the AppDynamics Controller UI, navigate to the Memory tab, and observe the Heap Utilization over time in relation to the Heap's Current Usage (MB) versus the Maximum (MB) allocated. Consistent growth in heap utilization or an upward trend that does not decrement even after garbage collection indicates a potential memory leak.References:AppDynamics documentation on Memory Leak Detection and Heap Analysis.
NEW QUESTION # 93 
Refer to the exhibit. Using this heap utilization graph, which method is used to confirm if a memory leak is occurring during a certain time frame?
Answer: D
Explanation:
To confirm if a memory leak is occurring, one should refer to the Tiers and Nodes section of the AppDynamics Controller UI, navigate to the Memory tab, and observe the Heap Utilization over time in relation to the Heap ' s Current Usage (MB) versus the Maximum (MB) allocated. Consistent growth in heap utilization or an upward trend that does not decrement even after garbage collection indicates a potential memory leak.
References: AppDynamics documentation on Memory Leak Detection and Heap Analysis.
NEW QUESTION # 94
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