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Cisco 500-420 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Troubleshooting and Performance Analysis	15%	- Analyzing call graphs and snapshots - Remediation and optimization steps - Identifying bottlenecks and root causes
Topic 2: Flow Maps and Application Architecture	20%	- Environment and topology overview - Interpreting flow maps - Component dependency visualization
Topic 3: Health Rules, Alerts, and Dashboards	20%	- Alert configuration and actions - Creating and managing health rules - Custom dashboards and reporting
Topic 4: Information Points, Collectors, and Service Endpoints	20%	- Database and custom collectors - Configuring information points - Service endpoint monitoring
Topic 5: Business Transactions	25%	- Metrics analysis and baselining - Slow, error, and stalled transaction identification - Transaction detection and configuration

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Cisco AppDynamics Associate Performance Analyst Sample Questions (Q104-Q109):

NEW QUESTION # 104
Which type of Data Collector will capture code data such as method arguments, variables, and return values?

A. URI Data Collector
B. Transaction Data Collector
C. Servlet Container Collector
D. Method Invocation Data Collector

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 # 105
Which values can be used to identify a split exit point?

A. static application values
B. dynamic application values
C. Tetration application values
D. variable application values

Answer: A

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 # 106
Which two match conditions can be added when you configure an Information Point? (Choose two.)

A. Match based on the invoked object
B. Match based on the return value
C. Match based on a regex applied to the method
D. Match based on the Business Transaction

Answer: A,C

Explanation:
When configuring an Information Point in AppDynamics, you can add match conditions to refine what gets measured. Match conditions based on a regex applied to the method allow you to specify which methods to include based on a regular expression pattern. Matching based on the invoked object allows you to specify which objects ' methods are included, filtering the data according to the object type or instance. These conditions help in pinpointing specific methods or objects for which you want to collect runtime information.
References: AppDynamics documentation on Information Points and Match Conditions.

NEW QUESTION # 107
A Performance Analyst is reviewing Business Transactions with an Application team. The Application team would like to increase the Application Business Transaction limit because they need to have visibility into all the different transactions. What should the Performance Analyst do?

A. Increase the limit to the requested value
B. Focus on the Business Transactions exceeding the limit and why
C. Do nothing since the limit is not important during configuration
D. Increase the limit half way between the current level and the requested value

Answer: B

Explanation:
When an application team requests an increase in the Application Business Transaction limit for visibility purposes, it's crucial for the Performance Analyst to focus on the transactions that are currently exceeding the limit and understand why. This approach helps in identifying whether the limit is being reached due to genuinely essential transactions or if there are redundant, irrelevant, or improperly defined transactions contributing to the limit breach. By analyzing and rationalizing the transactions, the analyst can ensure that only valuable transactions are monitored, optimizing resource usage and maintaining effective observability without necessarily increasing the limit.
References:
AppDynamics documentation on Business Transaction Limits: Discusses the implications of business transaction limits and strategies for managing and optimizing these limits within AppDynamics.
AppDynamics Best Practices Guide: Offers recommendations for configuring and managing business transactions, including handling limits and ensuring meaningful transaction monitoring.

NEW QUESTION # 108
What does the Live Preview option in a Business Transaction Discovery Session allow a user to do?

A. Stream entry points in your application
B. See if new Transaction Discovery Rules work
C. Provide streaming logs from the application agent
D. Search classes and methods currently running on the system

Answer: B

Explanation:
The Live Preview option in a Business Transaction Discovery Session in AppDynamics allows a user to verify the effectiveness of newly configured Transaction Discovery Rules. This feature provides real-time feedback on how these rules identify and categorize business transactions, enabling users to adjust and fine-tune the rules to ensure accurate and meaningful transaction monitoring.
References:
AppDynamics documentation on Business Transaction Management: Includes information on Business Transaction Discovery Sessions and the use of Live Preview to validate Transaction Discovery Rules.

NEW QUESTION # 109
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