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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 # 52
When a team of developers refactored their code, resulting in class-name changes, Business iQ users reported that metrics had disappeared. Where should a Performance Analyst look to troubleshoot this problem?
Answer: B
Explanation:
The Performance Analyst should review Configuration > Instrumentation > Data Collectors. Business iQ commonly depends on transaction data collected from application code, including values obtained through method invocation data collectors. These collectors can be configured against specific class names, method names, method arguments, return values, object properties, or getter chains.
When developers refactor code and rename or relocate classes, an existing data collector may no longer match the instrumented method. As a result, the expected business data is not captured, and the related Business iQ fields, measures, or metrics can disappear from analytics views even though the application continues processing transactions.
The analyst should verify the configured class and method signatures, confirm that the new classes are instrumented, update any affected getter chains, and validate collection through new transaction snapshots or Analytics data.
The Errors page focuses on application exceptions, while Slow Transaction Thresholds controls performance classifications. Database collectors configure Database Visibility connections and are unrelated to application- code refactoring.
Relevant CAAPA Study Guide topics include Business iQ, Analytics Data Collection, Method Invocation Data Collectors, Class and Method Matching, Getter Chains, Instrumentation Configuration, and Transaction Snapshot Validation.
NEW QUESTION # 53
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
Answer: B
Explanation:
The "Method Invocation Data Collector" is specifically designed to capture code-level data such as method arguments, variables, and return values. This type of data collector enables deep visibility into the execution of methods within transactions, providing valuable insights into the application's behavior and performance. This detailed level of monitoring is essential for diagnosing complex issues and understanding the inner workings of business transactions.
References:
AppDynamics documentation on Data Collectors: Details the types of data collectors available, including Method Invocation Data Collectors, and how they can be used to capture detailed code-level data.
NEW QUESTION # 54
Which values can be used to identify a split exit point?
Answer: B
Explanation:
A split exit point in AppDynamics is identified using static application values. Static values provide a consistent and predictable way to categorize exit points, making it easier to aggregate and analyze similar types of interactions with external services or components.
References:
AppDynamics documentation on Exit Points: Provides insights into how exit points are defined and identified within AppDynamics, including the use of static values for split exit points.
NEW QUESTION # 55
A Performance Analyst has opened a database collector view. Which tab should be clicked on next to find slow queries?
Answer: B
Explanation:
When analyzing database performance in AppDynamics, the "Queries" tab within the database collector view is where a Performance Analyst should navigate to find slow queries. This tab presents a list of database queries executed by the application, highlighting those with long execution times, which are potential bottlenecks impacting application performance.
References:
AppDynamics documentation on Database Monitoring: Details the database collector feature, including how to use the Queries tab to identify and analyze slow database queries.
NEW QUESTION # 56
What is the purpose of a transaction snapshot?
Answer: B
Explanation:
A transaction snapshot in AppDynamics is a detailed report of a single execution of a business transaction. Its primary purpose is to analyze issues with a specific business transaction by providing a comprehensive view of the transaction's execution path, including timing, call graphs, and database queries. This allows performance analystsand developers to drill down into individual transactions to diagnose performance bottlenecks, errors, or anomalies.
References:
AppDynamics documentation on Transaction Snapshots: Offers detailed guidance on how to capture and analyze transaction snapshots to troubleshoot and optimize application performance.
NEW QUESTION # 57
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