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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Cisco AppDynamics Associate Performance Analyst (CAAPA) |
| Exam Number: | 500-420 |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 55-65 |
| Exam Price: | USD 300 |
| Exam Format: | Scenario-based, Drag-and-drop, Multiple-choice |
| Passing Score: | 70-80% |
| Certificate Validity Period: | 3 years |
| Available Languages: | English, Japanese |
| 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, also known as the Cisco AppDynamics Associate Performance Analyst certification exam, is designed to test the skills and knowledge of professionals who want to demonstrate their understanding of application performance management (APM) and analytics using Cisco AppDynamics. 500-420 Exam is designed to assess candidates' ability to leverage the Cisco AppDynamics platform to monitor, troubleshoot, and optimize application performance in complex environments.
NEW QUESTION # 95
When instrumenting and configuring Transaction Detection Rules, when should Scope be used?
Answer: A
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 # 96
Which item supplements business transaction and transaction analytics data with application data?
Answer: D
Explanation:
Data collectors in AppDynamics supplement business transaction and transaction analytics data with application data by capturing additional information during transaction execution. This can include method arguments, return values, and invocation context, which enriches the transaction data with more detailed application-level insights. This capability is crucial for in-depth performance analysis and troubleshooting, providing a more comprehensive view of application behavior.
References:
AppDynamics documentation on Data Collectors: Explains how to configure data collectors to capture and display detailed application data within business transactions.
NEW QUESTION # 97
An AppDynamics deployment has Business Transaction Lock Down turned on. The company has just added an important service to its application and wants to track this service as a unique Business Transaction. What action is needed to achieve this?
Answer: D
Explanation:
When Business Transaction Lock Down is enabled in AppDynamics, no new business transactions will be automatically discovered to avoid uncontrolled growth in the number of business transactions. To track a new service as a unique Business Transaction, one needs to create a Custom Match Rule that specifies the criteria for identifying the business transaction. In this case, the Custom Match Rule should be based on the Web Service Name and Operation Name which are the distinguishing characteristics of the new service. This allows for the precise identification and monitoring of the service within the AppDynamics platform.References:AppDynamics documentation on Business Transaction configuration and Custom Match Rules.
NEW QUESTION # 98
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: B
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 # 99
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: C
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 # 100
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