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The Cisco 500-420 exam questions pdf is properly formatted to give candidates the asthenic and unformatted information they need to succeed in the 500-420 exam. In addition to the comprehensive material, a few basic and important questions are highlighted and discussed in the 500-420 Exam Material file. These questions are repeatedly seen in past Cisco AppDynamics Associate Performance Analyst exam papers. The Cisco AppDynamics Associate Performance Analyst practice questions are easy to access and can be downloaded anytime on your mobile, laptop, or MacBook.
| Section | Weight | Objectives |
|---|---|---|
| Health Rules, Dashboards, and Snapshots | 20% | - Create and interpret dashboards - Create and configure health rules - Locate and analyze snapshots |
| Troubleshooting | 15% | - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations - Identify slow performance and errors from backend systems |
| Collectors, Information Points, and Service Endpoints | 25% | - Analyze service endpoint metrics - Configure information points and service endpoints - Define and configure data collectors |
| Business Transactions | 20% | - Determine transaction scope and rule assignment - Manage discovery and analyze transaction metrics - Create and configure business transaction settings |
| Agents and Application Performance | 20% | - Configure alerts and identify system performance metrics - Verify agent functionality, performance, and connectivity - Determine application performance impact and scheduled reports - Monitor performance trends - Troubleshoot performance problems |
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NEW QUESTION # 39
Which type of Data Collector will capture code data such as method arguments, variables, and return values?
Answer: D
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 # 40
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 # 41
Which statement is correct regarding controller-level and tier/node-level dashboards?
Answer: B
Explanation:
Controller-level and tier/node-level dashboards in AppDynamics are treated as separate entities. They are scoped differently, with controller-level dashboards providing a global view across the entire AppDynamics domain, and tier/node-level dashboards being specific to particular tiers or nodes within an application.
Performance Analysts do not have the ability to cross-reference directly between these two sets of dashboards within the AppDynamics UI.
References:
AppDynamics documentation on Dashboards: https://docs.appdynamics.com/latest/en/application-monitoring
/custom-dashboards
NEW QUESTION # 42
When instrumenting and configuring Transaction Detection Rules, when should Scope be used?
Answer: D
Explanation:
A Scope is used to apply Transaction Detection Rules selectively to one or more tiers that perform the same or a related application function. Scoping allows a Performance Analyst to avoid applying a custom match rule or exclude rule across the entire application when the relevant entry point, framework, class, method, or request pattern exists only within particular tiers.
For example, several web-service tiers may use the same transaction naming convention or custom entry- point logic. The analyst can group those tiers within a scope and associate the transaction detection rule with that scope. This provides consistent detection behavior while preventing the rule from affecting unrelated application tiers.
Scopes are not primarily defined for individual nodes because nodes inherit transaction detection behavior from their tier-level configuration. They are also not used for backends, which are identified through exit- point and backend detection configuration. Transaction Detection Rule scopes remain within the context of a single monitored application and are not used to distribute one rule across multiple applications.
Relevant CAAPA Study Guide topics include Transaction Detection, Rule Scopes, Tier-Level Instrumentation, Custom Match Rules, Exclude Rules, Entry-Point Detection, and Application Agent Configuration.
NEW QUESTION # 43
Which Application Dashboard view categorizes transactions by load, response time, errors, slow transactions, and stalled transactions in a single aggregated value for a specific time range?
Answer: C
Explanation:
The Transaction Score view in the Application Dashboard categorizes transactions by load, response time, errors, slow transactions, and stalled transactions. It provides an aggregated value for a specific time range, giving an at-a-glance indication of the health and performance of business transactions.
References:
AppDynamics documentation on Transaction Score:
https://docs.appdynamics.com/latest/en/application-monitoring/application-dashboard
NEW QUESTION # 44
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