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Cisco 500-420 certification exam is an essential certification for IT professionals who want to demonstrate their expertise in AppDynamics technology. 500-420 exam covers a wide range of topics related to AppDynamics technology and is recognized by IT organizations worldwide. By passing 500-420 Exam, candidates can enhance their skills and knowledge in AppDynamics technology, advance their career in the IT industry, and increase their earning potential.
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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.
Cisco 500-420 Certification Exam is designed to test the knowledge and skills of individuals who want to become Cisco AppDynamics Associate Performance Analysts. 500-420 exam is one of the most popular certification exams in the IT industry and is highly sought after by professionals who want to demonstrate their expertise in AppDynamics technology.
NEW QUESTION # 87
Which data type can be collected as custom data by an Information Point?
Answer: B
Explanation:
An AppDynamics Information Point can collect String values as custom data. Information Points instrument selected application methods so that analysts can monitor method-level performance and capture business context without defining the method as a complete Business Transaction.
Custom data is typically extracted from a method argument, return value, object field, or getter chain. The resulting String value can provide contextual information such as an order category, customer type, transaction status, product identifier, or processing state. This data is associated with the monitored method execution and can support detailed troubleshooting and business-level analysis.
Numeric values such as integers or floating-point numbers are generally treated as candidates for custom metrics, where AppDynamics can aggregate and report values over time. Boolean values are not the designated custom-data type for this Information Point configuration. The distinction is therefore between textual custom data, represented as a String, and numerical measurements intended for metric aggregation.
Relevant CAAPA Study Guide topics include Information Points, Method-Level Monitoring, Getter Chains, Custom Data Collection, Custom Metrics, Method Arguments, Return Values, and Business Context Capture.
NEW QUESTION # 88
When should URI Segments be used in Transaction Detection rules?
Answer: B
Explanation:
URI Segments should be used in Transaction Detection rules when the application is web-oriented.
Web-oriented applications often have meaningful information in the URIthat can identify different business transactions. URI Segments can help in defining patterns that match specific parts of the URI to distinguish different transactions.
References:
AppDynamics documentation on Transaction Detection:
https://docs.appdynamics.com/latest/en/application-monitoring/business-transactions
NEW QUESTION # 89
A team of developers deploys new Java servlet code that should create new business transactions in AppDynamics. After applying load on the new code function, there are no new Business Transactions on the Business Transaction Dashboard. Which two options should the developers check in AppDynamics to make sure the Business Transactions can be discovered?
[Choose two.)
Answer: A,E
Explanation:
When new business transactions are not appearing on the Business Transaction Dashboard after deploying new code, developers should verify that there are no exclusion rules in place on the tier where the new code was deployed. Additionally, it is crucial to ensure that the Auto Discovery feature for servlets is enabled for Java agents, as this allows AppDynamics to automatically detect and name business transactions based on incoming requests to servlets. Both of these checks are necessary to ensure that new business transactions can be discovered and monitored.
References: AppDynamics documentation on Business Transaction detection and Java Agent configuration.
NEW QUESTION # 90
Which two roll-up types can be configured for an Information Point? (Choose two.)
Answer: B,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
Which view allows a Performance Analyst to visualize a single aggregated value representing all of a server's CPU, memory, disk, and network I/O utilization?
Answer: C
Explanation:
The Tiers and Nodes - Health tab provides a consolidated health representation for the selected server or node. It summarizes underlying infrastructure-resource behavior into a single health-oriented value or status, incorporating indicators associated with processor utilization, memory consumption, disk activity, and network I/O. This enables the Performance Analyst to identify an unhealthy or resource-constrained node quickly without first examining each hardware metric independently.
The Hardware tab is used for deeper analysis of the individual resource categories. It presents separate CPU, memory, disk, and network measurements, allowing the analyst to determine which specific resource is responsible after the Health view indicates degradation.
The Application Dashboard focuses on overall application behavior, Business Transactions, tiers, backends, and application flow rather than providing one aggregated server-resource value. The Metric Browser offers detailed time-series access to individual infrastructure metrics, but it requires manual navigation and comparison rather than presenting the consolidated server-health visualization.
Relevant CAAPA Study Guide topics include Tiers and Nodes Dashboard, Node Health, Server Resource Monitoring, Hardware Metrics, CPU and Memory Utilization, Disk and Network I/O, and Infrastructure-to- Application Correlation.
NEW QUESTION # 92
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