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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Cisco AppDynamics Associate Performance Analyst (CAAPA) |
| Exam Number: | 500-420 |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 55-65 |
| Exam Duration: | 90 minutes |
| Exam Format: | Scenario-based, Drag-and-drop, Multiple-choice |
| Passing Score: | 70-80% |
| Exam Price: | USD 300 |
| Available Languages: | Japanese, English |
| Recommended Training: | Cisco AppDynamics Associate Training AppDynamics Official Learning Resources |
| Exam Registration: | Cisco Exam Registration Pearson VUE |
| Sample Questions: | Cisco 500-420 Sample Questions |
| Exam Way: | Online proctored or onsite at authorized testing centers |
| Pre Condition: | No formal prerequisites; recommended 3-6 months of hands-on experience with AppDynamics |
| Official Syllabus URL: | https://www.cisco.com/site/us/en/learn/training-certifications/exams/caapa.html |
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Cisco 500-420 exam consists of multiple-choice questions and simulations, and covers a range of topics related to Cisco AppDynamics, including installation and configuration, application monitoring, troubleshooting, and analytics. 500-420 Exam is designed to validate your knowledge and skills in these areas, and can help you demonstrate your expertise to potential employers or clients.
NEW QUESTION # 116
In which two features of AppDynamics can Information Points metric data be used? (Choose two.)
Answer: A,B
Explanation:
Information Points in AppDynamics are custom metrics that track specific data within your applications, such as method invocations or the value of method arguments. These metrics can be utilized in various features of AppDynamics, most notably in "Alerting" and "Custom Dashboards." Alerting allows you to set up notifications based on the thresholds set for Information Points, ensuring that teams are promptly informed about significant changes or anomalies. Custom Dashboards enable the visualization of Information Points metrics alongside other key performance indicators, providing a comprehensive view of application health and performance tailored to specific needs.
References:
AppDynamics documentation on Information Points: Explains how to create and use Information Points to monitor specific business-relevant metrics.
AppDynamics documentation on Alerting: Details the process of setting up health rules and alerts based on various metrics, including those from Information Points.
AppDynamics documentation on Custom Dashboards: Guides on how to create dashboards that incorporate a wide range of metrics, including Information Points, for customized monitoring.
NEW QUESTION # 117
Which option, in addition to "minutes since creation", would a Performance Analyst use while configuring Automatic Cleanup of stale Business Transactions?
Answer: A
Explanation:
When configuring Automatic Cleanup of stale Business Transactions, the "minutes since creation" option is often paired with the "Number of Calls" metric. This setting ensures that business transactions that have not been called within a certain timeframe and have had a negligible number of calls are automatically cleaned up, helping to maintain an organized and relevant set of business transactions in the monitoring system.
References:
AppDynamics documentation on Business Transactions: Discusses best practices for managing business transactions, including the automatic cleanup based on time and call volume thresholds.
NEW QUESTION # 118
Using the Business Transaction Discovery Sessions tools, which two items can a Performance Analyst browse? (Choose two.)
Answer: C,D
Explanation:
Business Transaction Discovery Sessions allow a Performance Analyst to browse the application's classes and methods while identifying suitable entry points for custom Business Transaction detection. The discovery process observes application execution and exposes loaded or invoked code structures, enabling the analyst to locate the class and method that represent the beginning of a meaningful transaction.
Browsing classes helps narrow the search to the relevant package or application component. After selecting a class, the analyst can inspect its methods and choose the appropriate method as the transaction entry point.
This is particularly useful when automatic discovery does not recognize a proprietary framework, background process, scheduled task, or other nonstandard execution path.
Database Calls are analyzed as exit calls or backend activity rather than browsed as transaction entry-point code. JMX MBeans are accessed through JMX monitoring and metric configuration tools. Memory Objects are examined through memory diagnostics, object instance tracking, or leak-detection functions, not Business Transaction Discovery Sessions.
Relevant CAAPA Study Guide topics include Business Transaction Discovery Sessions, Class and Method Browsing, Custom Match Rules, Entry-Point Configuration, Automatic Discovery, and Application Agent Instrumentation.
NEW QUESTION # 119
A Performance Analyst has enabled Development Level Monitoring for an application. For a default configuration, in which scenario will Development Level Monitoring get automatically disabled?
Answer: C
Explanation:
Development Level Monitoring in AppDynamics is designed for use in a lower volume, non-production environment. For a default configuration, Development Level Monitoring will get automatically disabled if the monitored environment exceeds a threshold, typically a maximum of 1000 calls per minute, and the Maximum heap utilization percentage goes above 95%. These thresholds are in place to prevent excessive overhead in a production environment where such detailed monitoring could impact performance.
References:
AppDynamics documentation on Agent Configuration: Provides information on configuration settings for monitoring levels, including when Development Level Monitoring is automatically disabled due to exceeding thresholds.
NEW QUESTION # 120
Which three Key Performance Indicators (KPIs) are automatically collected when you create an Information Point without adding custom data? (Choose three.)
Answer: A,D,F
Explanation:
When an Information Point is created in AppDynamics without adding custom data, it automatically collects three key performance indicators (KPIs): Response Time, Errors per Minute, and Calls per Minute. Response Time measures the time taken to complete a transaction or operation, providing insights into application performance. Errors per Minute tracks the number of errors occurring within the scope of the Information Point, helping identify problematic areas. Calls per Minute counts the number of times the specified operation or transaction is invoked, indicating its usage frequency and potential impact on application performance.
References:
AppDynamics documentation on Information Points: Discusses the creation and configuration of Information Points, including the default metrics collected.
NEW QUESTION # 121
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