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Cisco 500-420 Exam is a vendor-neutral certification that is recognized by IT organizations worldwide. It is designed for IT professionals who want to enhance their skills and knowledge in AppDynamics technology and demonstrate their expertise to employers and clients. Cisco AppDynamics Associate Performance Analyst certification is also suitable for professionals who want to advance their career in the IT industry and increase their earning potential.
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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.
Cisco 500-420 Certification Exam is an excellent way to validate your skills and knowledge in the field of application performance management, and can help you advance your career in this exciting and in-demand field. With the right preparation and dedication, you can successfully pass the exam and become a Cisco AppDynamics Associate Performance Analyst.
NEW QUESTION # 62
A Performance Analyst is reviewing Business Transactions with an Application team. The Application team would like to increase the Application Business Transaction limit because they need to have visibility into all the different transactions. What should the Performance Analyst do?
Answer: B
Explanation:
When an application team requests an increase in the Application Business Transaction limit for visibility purposes, it's crucial for the Performance Analyst to focus on the transactions that are currently exceeding the limit and understand why. This approach helps in identifying whether the limit is being reached due to genuinely essential transactions or if there are redundant, irrelevant, or improperly defined transactions contributing to the limit breach. By analyzing and rationalizing the transactions, the analyst can ensure that only valuable transactions are monitored, optimizing resource usage and maintaining effective observability without necessarily increasing the limit.
References:
AppDynamics documentation on Business Transaction Limits: Discusses the implications of business transaction limits and strategies for managing and optimizing these limits within AppDynamics.
AppDynamics Best Practices Guide: Offers recommendations for configuring and managing business transactions, including handling limits and ensuring meaningful transaction monitoring.
NEW QUESTION # 63
How does a Performance Analyst identify if automatic remediation has been taken for a health rule violation?
Answer: C
Explanation:
To identify if automatic remediation actions have been taken for a health rule violation in AppDynamics, a Performance Analyst should expand the "Description" field of the health rule violation event. This section will provide details on the actions executed as part of the automatic remediation process. These details help analysts understand the steps taken by the system to mitigate the issue without manual intervention.References:AppDynamics documentation on Health Rule Violations and Automated Actions.
NEW QUESTION # 64
A Performance Analyst needs to define a special database Key Performance Indicator (KPI). Which menu options should be used?
Answer: C
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 # 65
Which two Key Performance Indicators (KPIs) accurately provide insight into server level resource consumption? (Choose two.)
Answer: A,C
Explanation:
Key Performance Indicators (KPIs) such as "CPU %Busy" and "Memory Used%" are critical for providing insights into server-level resource consumption. "CPU %Busy" indicates the percentage of time the CPU is actively working on processes, reflecting the server's processing workload. "Memory Used%" shows the proportion of memory utilized, indicating how much of the server's RAM is being consumed by applications and processes. These KPIs are essential for understanding and managing server performance and resource allocation.
References:
AppDynamics documentation on Server Monitoring: Includes information on monitoring server-level metrics, including CPU and memory utilization, to assess resource consumption.
NEW QUESTION # 66 
Refer to the exhibit. The transaction score in the graphic displays an interesting performance pattern outside of business hours on 6/16/18. Which additional performance anomaly should be of most interest to a Performance Analyst?
Answer: C
Explanation:
The performance pattern outside of business hours on 6/16/18 that would be of most interest to a Performance Analyst is the elevated response time, as indicated on 6/19/18. This is because it shows a significant spike in response time, which could indicate a performance issue that needs to be addressed. Anomalies in response time can often be more indicative of underlying problems than changes in call volume, especially when they occur outside of expected peak periods.
References:
AppDynamics documentation on Transaction Score:
https://docs.appdynamics.com/latest/en/application-monitoring/application-dashboard/transaction-score
NEW QUESTION # 67
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