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Cisco 500-420 Certification Exam is an excellent way for professionals to demonstrate their expertise in application performance management. Cisco AppDynamics Associate Performance Analyst certification is recognized by employers around the world and can help professionals advance their careers in this field. In addition to validating their skills and knowledge, the certification can also help professionals improve their job performance by providing them with a deeper understanding of application performance management best practices and strategies.
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Cisco 500-420 exam is an excellent certification for individuals who want to start their career in performance analytics. Cisco AppDynamics Associate Performance Analyst certification provides the candidates with the knowledge and skills required to analyze and troubleshoot performance issues in applications and infrastructure. Cisco AppDynamics Associate Performance Analyst certification is vendor-specific and focuses on the use of Cisco AppDynamics, which is a leading application performance management solution. 500-420 exam covers topics such as performance testing, monitoring, and troubleshooting, and consists of multiple-choice questions and simulations.
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 # 75
Which three Key Performance Indicators (KPIs) are automatically collected when you create an Information Point without adding custom data? (Choose three.)
Answer: A,B,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 # 76
What are two examples of backend calls? (Choose two.)
Answer: A,C
Explanation:
A remote services call and a tier-to-tier request are examples of outbound backend or dependency calls made while processing a Business Transaction.
A remote services call occurs when application code invokes an external HTTP service, web service, messaging destination, or another remote system. AppDynamics detects the associated exit point and reports metrics such as call count, response time, and errors. When the remote destination is not instrumented, it is typically represented as a backend or remote service on the application flow map.
A tier-to-tier request occurs when one monitored application tier calls another instrumented tier.
AppDynamics correlates the outbound exit call with the downstream entry point, producing cross-tier transaction visibility and showing how much downstream processing contributes to total response time.
An asynchronous request represents an execution or thread-handoff pattern and does not inherently constitute a backend call; it may execute entirely within the same tier. A browser request is an inbound entry-point request from an end user, not an outbound dependency invocation.
Relevant CAAPA Study Guide topics include Backend Detection, Exit Calls, Remote Services, Cross-Tier Correlation, Tier-to-Tier Calls, Business Transaction Flow Maps, and Asynchronous Transaction Tracking.
NEW QUESTION # 77
Which dashboard can be used to identify potential Business Transactions contributing to an increase in Error Counts?
Answer: A
Explanation:
The Top Business Transactions - by Errors dashboard is specifically designed to rank Business Transactions according to their error activity. When the application's aggregate Error Count increases, this view quickly identifies which transactions are generating the largest number or proportion of errors during the selected time range. The Performance Analyst can then select a high-error Business Transaction and drill down into its transaction snapshots, exceptions, affected tiers, and backend dependencies.
Transaction Score - Snapshots categorizes transactions by performance condition, such as normal, slow, very slow, stalled, or error, but it is not the most direct ranked view for determining which Business Transactions are driving an overall increase in errors. Transaction Snapshots - All Snapshots provides execution-level diagnostic records and requires more manual filtering. Application Flow - Grid View is primarily used to compare tiers, nodes, and backend dependencies rather than rank Business Transactions by error contribution.
Relevant CAAPA Study Guide topics include Application Dashboard, Top Business Transactions, Error Analysis, Transaction Snapshots, Business Transaction Drill-Down, and Exception Troubleshooting.
NEW QUESTION # 78
Which AppDynamics option will allow a Performance Analyst to compare and filter related servers using custom metadata within your environment?
Answer: D
Explanation:
Server Tagging in AppDynamics allows a Performance Analyst to compare and filter related servers by using custom metadata. This feature enables users to group and organize their servers based on criteria that make sense for their environment, such as role, location, environment type, or any other custom metadata.
References:
AppDynamics documentation on Server Tagging:
https://docs.appdynamics.com/latest/en/infrastructure-visibility/infrastructure-visibility-settings/server-tags
NEW QUESTION # 79 
Refer to the exhibit. Using this heap utilization graph, which method is used to confirm if a memory leak is occurring during a certain time frame?
Answer: D
Explanation:
To confirm if a memory leak is occurring, one should refer to the Tiers and Nodes section of the AppDynamics Controller UI, navigate to the Memory tab, and observe the Heap Utilization over time in relation to the Heap's Current Usage (MB) versus the Maximum (MB) allocated. Consistent growth in heap utilization or an upward trend that does not decrement even after garbage collection indicates a potential memory leak.References:AppDynamics documentation on Memory Leak Detection and Heap Analysis.
NEW QUESTION # 80
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