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Cisco 500-420 exam covers topics such as the basic concepts of application performance management, the use of Cisco AppDynamics for monitoring and analysis, performance testing, and troubleshooting. 500-420 exam is also designed to test the candidate's knowledge of the AppDynamics Controller, which is the main component of the AppDynamics solution. 500-420 Exam consists of multiple-choice questions and simulations, which are designed to test the candidate's ability to troubleshoot real-world performance issues.
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Cisco 500-420 certification exam covers a wide range of topics related to application performance management. Some of the key topics covered in the exam include application performance monitoring, troubleshooting performance issues, configuring and deploying AppDynamics solutions, and analyzing data to optimize application performance. 500-420 Exam is designed to test the candidate's ability to apply these concepts in real-world scenarios and to demonstrate their proficiency in using AppDynamics solutions to manage application performance.
NEW QUESTION # 72
Refer to the exhibit.
The application flow map shows several downstream applications in yellow, while the flow lines are blue and activity within the current application appears normal. Because the tier depends on these downstream applications, how could a Performance Analyst quickly evaluate the map against previous performance?
Answer: A
Explanation:
The Performance Analyst should use Compare Against Baseline. This flow-map function provides an immediate comparison between current application behavior and the established historical baseline for the selected time range. It helps identify whether response time, load, call volume, or dependency behavior has deviated from what AppDynamics considers normal.
In the exhibit, the yellow downstream applications indicate a warning state, even though the blue flow lines suggest that the current calls themselves are not showing an obvious critical condition. Comparing the current flow map against baseline allows the analyst to determine whether those downstream dependencies are performing worse than their customary levels and whether the tier's dependency pattern has changed.
Correlation Analysis is intended to identify statistical relationships among metrics rather than provide a direct historical flow-map comparison. Health Rule Violations show triggered conditions but do not provide the fastest visual comparison with prior performance. Metric Browser Baselines can expose baseline values for individual metrics, but require more manual investigation.
Relevant CAAPA topics include Application Flow Maps, Dynamic Baselines, Compare Against Baseline, Dependency Analysis, and Health-State Interpretation.
NEW QUESTION # 73
Refer to the exhibit.
Using this heap-utilization graph, which method is used to confirm whether a memory leak is occurring during a specific timeframe?
Answer: D
Explanation:
The Tiers and Nodes > Memory tab provides the appropriate JVM-level view for confirming suspected heap growth over a selected timeframe. The analyst should compare Heap Utilization (%) with Heap Current Usage (MB) versus Max (MB) and observe the effect of major garbage-collection events.
A potential memory leak is indicated when heap usage rises progressively and fails to return to a stable lower level after garbage collection. The important pattern is not simply high memory utilization, but an increasing post-garbage-collection baseline over time. The exhibit shows current heap usage gradually increasing relative to the maximum heap allocation, which warrants further memory diagnostics.
Hardware-resource memory metrics represent operating-system memory and do not isolate JVM heap behavior. Swap usage can indicate host memory pressure but cannot confirm an application heap leak. JMX metrics may expose heap values, but the dedicated Memory tab provides the quickest correlated visualization for heap utilization, maximum heap, current usage, and garbage collection.
Relevant CAAPA topics include JVM Memory Monitoring, Heap Utilization, Garbage Collection, Tiers and Nodes Memory View, Memory Leak Detection, and Object Instance Tracking.
NEW QUESTION # 74
When using the REST interlace where would a Performance Analyst go to see all of the capturedendpointsby service?
Answer: D
Explanation:
To view all captured endpoints by service using the REST interface in AppDynamics, a Performance Analyst would navigate to the Metric Browser and proceed to the "Consumed Endpoints" section. From there, drilling down on specific endpoints within the Metric Browser allows the analyst to explore the services associated with each endpoint. This method enables detailed analysis of endpoint metrics, facilitating the monitoring and optimization of service performance.
References:
AppDynamics documentation on Metric Browser: Guides on navigating the Metric Browser to access and analyze various application metrics, including those related to endpoints and services.
AppDynamics documentation on REST API: Provides information on how to utilize the REST API for retrieving metrics, including endpoint data.
NEW QUESTION # 75
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 # 76
Which two match conditions can be added when you configure an Information Point? (Choose two.)
Answer: A,B
Explanation:
When configuring an Information Point in AppDynamics, you can add match conditions to refine what gets measured. Match conditions based on a regex applied to the method allow you to specify which methods to include based on a regular expression pattern. Matching based on the invoked object allows you to specify which objects' methods are included, filtering the data according to the object type or instance. These conditions help in pinpointing specific methods or objects for which you want to collect runtime information.References:AppDynamics documentation on Information Points and Match Conditions.
NEW QUESTION # 77
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