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Preparing for the Cisco 500-420 exam requires a solid understanding of Cisco AppDynamics, as well as experience working with APM tools and practices. There are a variety of resources available to help you prepare for the exam, including online training courses, study guides, and practice exams.
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.
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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.
NEW QUESTION # 97
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 # 98
A Performance Analyst is experiencing difficulty with the transaction response time on a node. The Performance Analyst attempts to create a health rule monitoring the business transactions' performance on that node. Which set of data should the Performance Analyst select when creating the health rule?
Answer: A
Explanation:
When a Performance Analyst is faced with issues related to transaction response times on a specific node, focusing on the "Transaction performance" data is most relevant. This is because transaction performance metrics provide direct insights into the business transactions' speed, response times, and execution times, which are critical for identifying and troubleshooting performance issues. By selecting "Transaction performance" when creating a health rule, the analyst can monitor specific metrics such as average response time, slow transaction count, and very slow transaction count, which are directly related to the performance of business transactions on the node in question.
References:
AppDynamics documentation on Health Rules: This section explains how to create and configure health rules to monitor application performance metrics, including transaction performance.
AppDynamics documentation on Business Transactions: Provides details on how AppDynamics identifies and monitors business transactions, which are key to understanding application performance.
NEW QUESTION # 99
A Performance Analyst needs to define a set of Key Performance Indicators (KPIs) from a group of select metrics. The required performance information resides within the Transaction Analytics data set. Which method will accomplish this task?
Answer: B
Explanation:
The Metric Explorer in AppDynamics allows Performance Analysts to define and visualize Key Performance Indicators (KPIs) from a selection of metrics. By accessing the Transaction Analytics data set, analysts can create custom dashboards that focus on the metrics they've determined to be critical KPIs for their application's performance.
References:
AppDynamics documentation on Metric Explorer:
NEW QUESTION # 100
Which option should a Performance Analyst use in an environment where virtual machines are routinely created and destroyed?
Answer: B
Explanation:
In environments where virtual machines are frequently created and destroyed, using the agent configuration properties-Dappdynamics.agent.reuse.nodeNameand-Dappdynamics.agent.reuse.nodeName.prefixcan be beneficial. These settings allow AppDynamics agents to reuse node names for newly created instances, facilitating consistent monitoring and tracking across dynamic environments. This approach helps maintain clarity in application topology and ensures that performance data remains coherent even as the underlying infrastructure changes.
References:
AppDynamics documentation on Agent Configuration: Discusses advanced agent configuration options, including node name reuse, to accommodate dynamic environments such as those with frequently changing virtual machines.
AppDynamics documentation on Infrastructure Monitoring: Offers insights into best practices for monitoring in dynamic and virtualized environments.
NEW QUESTION # 101
What must a Performance Analyst first configure in order to monitor end-to-end latency performance metrics in AppDynamics?
Answer: C
Explanation:
To monitor end-to-end latency performance metrics, a Performance Analyst must first define the end-to-end latency transaction. This involves configuring the business transactions to include the necessary entry and exit points that capture the complete flow of the transaction, thereby enabling the measurement of the total latency.
References:
AppDynamics documentation on Business Transactions:
https://docs.appdynamics.com/latest/en/application-monitoring/business-transactions
NEW QUESTION # 102
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