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Cisco 500-420 certification exam is designed to test the knowledge and skills of individuals who want to become Cisco AppDynamics Associate Performance Analysts. 500-420 exam is one of the most popular certification exams in the IT industry and is highly sought after by professionals who want to demonstrate their expertise in AppDynamics technology.

 

NEW QUESTION # 12
Which statement about Service End Points and Business Transactions is true?

  • A. Service End Points and Business Transactions can both be split.
  • B. Service End Points and Business Transactions can both be renamed by right clicking and selecting
    'rename'.
  • C. Service End Points and Business Transactions can both configure data collectors.
  • D. Service End Points and Business Transactions both provide percentile metrics.

Answer: C

Explanation:
Both Service Endpoints and Business Transactions in AppDynamics have the capability to configure data collectors. Data collectors are used to gather detailed information about transactions or endpoints, such as method parameters, return values, and SQL statements.
References:
AppDynamics documentation on Data Collectors:
https://docs.appdynamics.com/latest/en/application-monitoring/configure-data-collection


NEW QUESTION # 13
What is the purpose of a transaction snapshot?

  • A. To analyze issues only with a transaction flagged as stalled
  • B. To analyze issues with a specific business transaction
  • C. To analyze issues only with a transaction flagged as slow
  • D. To analyze issues with a specific instances of a transaction

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 # 14
What does the Live Preview option in a Business Transaction Discovery Session allow a user to do?

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

Answer: D

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 # 15

Refer to the exhibit. When looking at the Transaction Score for a specific transaction, how are errors in the transaction identified?

  • A. Set the time range and examine the dashboard for errors.
  • B. Set the time range and drill down into the snapshots in the Error tab.
  • C. Set the time range and examine the Slow Response Times tab.
  • D. Set the time range and drill down into the snapshots in the Events tab.

Answer: B

Explanation:
Errors in a transaction are identified by examining the snapshots that capture the problematic transactions. By setting the appropriate time range, a Performance Analyst can drill down into the snapshots within the Error tab to identify and analyze errors. These snapshots provide detailed diagnostic information, such as stack traces, slow SQL queries, and error logs, which are vital for pinpointing the root cause of transaction errors.
References:
AppDynamics documentation on Transaction Snapshots:


NEW QUESTION # 16
Which option should a Performance Analyst use in an environment where virtual machines are routinely created and destroyed?

  • A. Dappdynamics.agent.reuse.nodeName and - Dappdynamics.agent.reuse.nodeName.prefix
  • B. Dappdynamics.agent.node.metainfo and -Dappdynamics.agent.nodeName
  • C. Dappdynamics.agent.auto.node.prefix and -Dappdynamics.cron.vm
  • D. Dappdynamics.http.proxyHost and -Dappdynamcs.http. proxy User

Answer: A

Explanation:
In environments where virtual machines are frequently created and destroyed, using the agent configuration properties-Dappdynamics.agent.reuse.nodeNameand-Dappdynamics.agent.reuse.nodeName.prefixcan be beneficial. These settings allow AppDynamics agents to reuse node names for newly created instances, facilitating consistent monitoring and tracking across dynamic environments. This approach helps maintain clarity in application topology and ensures that performance data remains coherent even as the underlying infrastructure changes.
References:
AppDynamics documentation on Agent Configuration: Discusses advanced agent configuration options, including node name reuse, to accommodate dynamic environments such as those with frequently changing virtual machines.
AppDynamics documentation on Infrastructure Monitoring: Offers insights into best practices for monitoring in dynamic and virtualized environments.


NEW QUESTION # 17
A Performance Analyst has opened a database collector view. Which tab should be clicked on next to find slow queries?

  • A. Object Browser
  • B. Schemas
  • C. Live View
  • D. Queries

Answer: D

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 # 18
Which type of Data Collector will capture code data such as method arguments, variables, and return values?

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

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 # 19

Refer to the exhibit. The transaction score in the graphic displays an interesting performance pattern outside of business hours on 6/16/18. Which additional performance anomaly should be of most interest to a Performance Analyst?

  • A. Elevated Response Time at 6/25/18
  • B. Low volume at 6/15/18
  • C. Elevated Response Time at 6/19/18
  • D. Lower than usual volume at 6/17/18

Answer: C

Explanation:
The performance pattern outside of business hours on 6/16/18 that would be of most interest to a Performance Analyst is the elevated response time, as indicated on 6/19/18. This is because it shows a significant spike in response time, which could indicate a performance issue that needs to be addressed. Anomalies in response time can often be more indicative of underlying problems than changes in call volume, especially when they occur outside of expected peak periods.
References:
AppDynamics documentation on Transaction Score:
https://docs.appdynamics.com/latest/en/application-monitoring/application-dashboard/transaction-score


NEW QUESTION # 20
Which statement is correct regarding controller-level and tier/node-level dashboards?

  • A. The Performance Analyst can associate a controller-level dashboard with a tier or node through the My Dashboards tab
  • B. From the controller-level dashboards list the Performance Analyst can access any tier/node-level dashboards outside the application in which they were created.
  • C. Controller-level and tier/node-level dashboards are not scoped to be separate entities.
  • D. Controller-level and tier/node-level dashboards are two separate sets. The Performance Analyst cannot cross-reference between these dashboards.

Answer: D

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 # 21
Which three data points can be located by drilling down into a JDBC exit call for an Oracle backend? (Choose three.)

  • A. Weight %
  • B. Originating node
  • C. Query type
  • D. Statement type
  • E. %Time
  • F. Query Id

Answer: B,C,D

Explanation:
When drilling down into a JDBC exit call for an Oracle backend, AppDynamics provides detailed information about the call. The data points include:
Query type, which can indicate whether it's a SELECT, INSERT, UPDATE, or DELETE statement.
Statement type, which describes the nature of the SQL statement being executed.
Originating node, which identifies the node from which the JDBC call originated.
These data points help in understanding the nature and source of database operations, which can be critical for performance analysis and troubleshooting.
References:
AppDynamics documentation on Database Monitoring:


NEW QUESTION # 22
A Performance Analyst needs to send a summary report of specific events every two hours. Which feature can enable this automated report summary?

  • A. HTTP Request Templates
  • B. Email Digests
  • C. Email / SMS Configuration
  • D. Email Templates

Answer: B

Explanation:
To send a summary report of specific events every two hours, a Performance Analyst can use the "Email Digests" feature in AppDynamics. This feature allows for the automated aggregation and delivery of pertinent event information at predefined intervals, ensuring stakeholders remain informed about the application's performance and significant events without the need for constant manual monitoring.
References:
AppDynamics documentation on Alerting and Notifications: Details the configuration of email notifications and digests for events and alerts, including scheduling and content customization options.
AppDynamics documentation on Reports: Provides information on various reporting features, including the setup of automated email digests.


NEW QUESTION # 23
Which values can be used to identify a split exit point?

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

Answer: D

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 # 24
What are two differences between creating a Transaction Group using the 'Create Group' action and defining a Transaction Detection rule? (Choose two.)

  • A. Transaction Groups create Transaction Detection Rules in a faster easier way.
  • B. A Transaction Detection Rule changes the name of the incoming request and reduces the number of overall Business transactions.
  • C. Create Transaction Group changes the name of the incoming request and reduces the number of overall Business transactions.
  • D. A Transaction Group aggregates the data of multiple transactions.

Answer: A,D

Explanation:
Creating a Transaction Group using the 'Create Group' action in AppDynamics allows for the aggregation of data from multiple transactions under a single group, facilitating a consolidated view of similar transactions.
This differs from defining a Transaction Detection Rule, which typically focuses on identifying and categorizing individual transactions based on specific criteria. Transaction Groups do not change the names of incoming requests nor reduce the number of overall business transactions; instead, they provide a method for organizing and analyzing related transactions collectively, offering a streamlined approach compared to individually configuring Transaction Detection Rules for each transaction.
References:
AppDynamics documentation on Business Transactions: Covers the concept of Transaction Groups and their role in organizing and analyzing transaction data, as well as the process for creating and managing Transaction Detection Rules.


NEW QUESTION # 25
Which built-in scheduled report Includes load, response time, and error graphs?

  • A. Dashboard Report
  • B. Application Health Report
  • C. All Application Summary
  • D. User Experience: Browser Apps

Answer: B

Explanation:
The "Application Health Report" is a built-in scheduled report in AppDynamics that includes vital metrics such as load, response time, and error graphs. This report provides a comprehensive overview of the application's health and performance, making it an essential tool for Performance Analysts to regularly review and share with stakeholders to ensure the application meets performance standards and user expectations.
References:
AppDynamics documentation on Reporting: Covers the types of reports available within AppDynamics, including the Application Health Report, detailing its contents and how to schedule and customize it.
AppDynamics documentation on Application Performance Management: Provides an overview of key performance indicators and metrics critical for assessing application health, many of which are included in the Application Health Report.


NEW QUESTION # 26
Which three Key Performance Indicators (KPIs) are automatically collected when you create an Information Point without adding custom data? (Choose three.)

  • A. Minimum Response Time
  • B. Maximum Response Time
  • C. Calls per Minute
  • D. CPU Time
  • E. Errors per Minute
  • F. Response Time

Answer: C,E,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 # 27
Which two things should a Performance Analyst check if an agent has failed to register with the Controller after several minutes? (Choose two.)

  • A. free license count
  • B. network/firewall rules
  • C. total free RAM
  • D. current CPU load average

Answer: A,B

Explanation:
If an agent fails to register with the Controller, a Performance Analyst should check the network/firewall rules to ensure that the agent can communicate with the Controller over the network. Additionally, it is crucial to verify the free license count to confirm thatthere are available licenses for the agent to register. Insufficient licenses or network communication barriers can prevent successful agent registration.
References:
AppDynamics documentation on Agent Registration: Describes the prerequisites and troubleshooting steps for agent registration with the Controller.
AppDynamics documentation on Licensing: Provides details on how the licensing model works, including how to check for available licenses.


NEW QUESTION # 28
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Cisco 500-420 certification exam is an essential certification for IT professionals who want to demonstrate their expertise in AppDynamics technology. 500-420 exam covers a wide range of topics related to AppDynamics technology and is recognized by IT organizations worldwide. By passing 500-420 exam, candidates can enhance their skills and knowledge in AppDynamics technology, advance their career in the IT industry, and increase their earning potential.

 

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