[Aug-2024] Practice Cisco 500-420 exam. Online Exam Practice Tests with detailed explanations! Pass 500-420 with confidence! [Q15-Q35]

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Practice AppDynamics Certified Associate 500-420 exam. Online Exam Practice Tests with detailed explanations! Pass 500-420 with confidence!

500-420 - Cisco AppDynamics Associate Performance Analyst Practice Tests 2024 | ITPassLeader

NEW QUESTION # 15
A Performance Analyst needs to send a summary report of specific events every two hours. Which feature can enable this automated report summary?

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

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 # 16
A team of developers deploys new Java servlet code that should create new business transactions in AppDynamics. After applying load on the new code function, there are no new Business Transactions on the Business Transaction Dashboard. Whichtwo options should the developers check in AppDynamics to make sure the Business Transactions can be discovered?
[Choose two.)

  • A. The metric browser to see if the new transactions appear under Business Transaction Performance.
  • B. There is a health rule created to check for transaction performance.
  • C. Auto Discovery for servlet is turned on for Java agents.
  • D. Auto discovery for service endpoints is turned on.
  • E. The tier with the new code does not have any rules excluding it.

Answer: C,E

Explanation:
When new business transactions are not appearing on the Business Transaction Dashboard after deploying new code, developers should verify that there are no exclusion rules in place on the tier where the new code was deployed. Additionally, it is crucial to ensure that the Auto Discovery feature for servlets is enabled for Java agents, as this allows AppDynamics to automatically detect and name business transactions based on incoming requests to servlets. Both of these checks are necessary to ensure that new business transactions can be discovered and monitored.References:AppDynamics documentation on Business Transaction detection and Java Agent configuration.


NEW QUESTION # 17
Which item supplements business transaction and transaction analytics data with application data?

  • A. Demarcation collectors
  • B. Endpoint sensors
  • C. Netflow data
  • D. Data collectors

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 # 18
Which values can be used to identify a split exit point?

  • A. dynamic application values
  • B. Tetration application values
  • C. variable 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 # 19
What are two examples of backend calls? (Choose two.)

  • A. a request coming from a browser
  • B. a remote services call
  • C. an asynchronous request
  • D. a tier-to-tier request

Answer: B,D

Explanation:
Backend calls in AppDynamics are the interactions that an application component has with external components or services. These can include calls to databases, remote service calls, and interactions between different tiers of an application.
A tier-to-tier request refers to any internal call that happens between different tiers (or nodes) within the same application. For example, a web tier calling an API service tier within the same application ecosystem.
A remote services call is an external call from an application to a service that resides outside of the application's environment, like a call to an external web service, REST API, or a third-party service provider.
References:
AppDynamics documentation on Backend Detection:
https://docs.appdynamics.com/21.6/en/application-monitoring/identify-backends


NEW QUESTION # 20
Which health rule violation event will be triggered when a Performance Analyst modifies the existing health rule that is already in critical violation?

  • A. Health Rule Violation Ended - Critical
  • B. Health Rule Violation Continues - Critical
  • C. Health Rule Violation Canceled - Critical
  • D. Health Rule Violation Started - Critical

Answer: B

Explanation:
When a Performance Analyst modifies an existing health rule that is already in a state of critical violation, the event that is typically triggered is "Health Rule Violation Continues - Critical." This event indicates that, despite the modification, the health rule is still being violated at a critical level. The system recognizes that the conditions for the health rule violation are still being met and continues to alert accordingly.
References:
AppDynamics documentation on Health Rules and Events: Explains the different types of health rule events and the conditions under which they are triggered.


NEW QUESTION # 21
How does a Performance Analyst identify if automatic remediation has been taken for a health rule violation?

  • A. Review the "Application Dashboard" and review "Actions Executed"
  • B. Right-click on "view details" and click on the "Actions Executed" button.
  • C. Expand on the "Description" field to display "Actions Executed".
  • D. Click on the link inside the Health Rule field and look for the "Affects" tab to display the Executed Actions.

Answer: C

Explanation:
To identify if automatic remediation actions have been taken for a health rule violation in AppDynamics, a Performance Analyst should expand the "Description" field of the health rule violation event. This section will provide details on the actions executed as part of the automatic remediation process. These details help analysts understand the steps taken by the system to mitigate the issue without manual intervention.References:AppDynamics documentation on Health Rule Violations and Automated Actions.


NEW QUESTION # 22
Which built-in scheduled report Includes load, response time, and error graphs?

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

Answer: A

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 # 23
A development team responsible for the front-end shopping application has asked to receive an email every time the Java container thread count exceeds 25. Which alert and response capabilities settings will provide the email?

  • A. Node Health - Thread Pools (> Specific Value) + Notification Action (Custom Action)
  • B. Node Health - JMX Thread Pools (> Baseline) + Notification Action (Send an Email)
  • C. Node Health - Thread Pools (> Specific Value) + Notification Action (Send an Email)
  • D. Node Health - JMX Thread Pools (> Specific Value) + Notification Action (Send an Email)

Answer: C

Explanation:
In AppDynamics, you can create health rules to monitor various metrics and set up actions based on the thresholds defined for these metrics. For monitoring Java container thread counts, you can set a health rule based on Node Health - specifically on thread pools - to trigger when the thread count exceeds a specific value. The Notification Action can then be configured to send an email to the development team whenever this threshold is breached.
References:
AppDynamics documentation on Health Rules:
https://docs.appdynamics.com/21.6/en/infrastructure-visibility/health-rules


NEW QUESTION # 24
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?

  • A. Machine Snapshots
  • B. Top Business Transactions
  • C. Transaction Snapshots
  • D. Transaction Score

Answer: D

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 # 25
Which option, in addition to "minutes since creation", would a Performance Analyst use while configuring Automatic Cleanup of stale Business Transactions?

  • A. Transaction Type
  • B. Number of Calls
  • C. Class/Method Filter
  • D. Regular Expression

Answer: B

Explanation:
When configuring Automatic Cleanup of stale Business Transactions, the "minutes since creation" option is often paired with the "Number of Calls" metric. This setting ensures that business transactions that have not been called within a certain timeframe and have had a negligible number of calls are automatically cleaned up, helping to maintain an organized and relevant set of business transactions in the monitoring system.
References:
AppDynamics documentation on Business Transactions: Discusses best practices for managing business transactions, including the automatic cleanup based on time and call volume thresholds.


NEW QUESTION # 26
A Performance Analyst has noticed a significant decrease in an application's workload (calls/min) and is trying to identify the root cause. Which option will give the Performance Analyst insight into the behavior of the affected Business Transactions?

  • A. In Metric Browser Plot Calls/min for the Application
  • B. Review Top Business Transactions by Load in the Application Dashboard
  • C. Review the Transaction Score for the Application
  • D. Review Business Transactions and enable Show Trends
  • E. Review all elements in the Application Flow Map and identify variations in load

Answer: B

Explanation:
When a Performance Analyst observes a significant decrease in an application's workload (calls/min), reviewing the "Top Business Transactions by Load" in the Application Dashboard can provide valuable insights. This feature allows the analyst to quickly identify which business transactions have experienced the most significant changes in load, potentially pinpointing the root cause of the overall workload decrease. It offers a focused view of the application's performance, highlighting areas that may require further investigation or immediate action.
References:
AppDynamics documentation on Application Dashboard: Describes the features and capabilities of the Application Dashboard, including how to view and analyze the top business transactions by load.
AppDynamics documentation on Business Transactions: Details the importance of monitoring business transactions and how they can be used to understand application performance trends.


NEW QUESTION # 27
Which statement about Service End Points and Business Transactions is true?

  • A. Service End Points and Business Transactions can both be renamed by right clicking and selecting
    'rename'.
  • B. Service End Points and Business Transactions can both be split.
  • 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 # 28
Which three reports can be scheduled for periodic generation and delivery to email recipients? (Choose three.)

  • A. Custom Dashboard
  • B. Error Trends
  • C. Tier List
  • D. Application Health
  • E. Controller Audit
  • F. Ad Hoc Data

Answer: A,B,D

Explanation:
AppDynamics allows for several reports to be scheduled for periodic generation and sent to email recipients.
Among these, Application Health, Error Trends, and CustomDashboards are types of reports that can be automatically generated and delivered, providing regular insights into the application's performance and issues.
References:
AppDynamics documentation on Reports:
https://docs.appdynamics.com/latest/en/application-monitoring/reporting


NEW QUESTION # 29

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

Answer: A

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 # 30
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 # 31
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 # 32
Which three Key Performance Indicators (KPIs) are automatically collected when you create an Information Point without adding custom data? (Choose three.)

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

Answer: C,D,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 # 33
Which two methods are used to plot Host CPU and GC Time Spent in a single view? (Choose two.)

  • A. JMX tab under "Tiers and Nodes"
  • B. Memory tab under Tier and Nodes"
  • C. Metrics Browser
  • D. Server tab under "Tiers and Nodes"

Answer: A,C

Explanation:
To plot Host CPU and GC (Garbage Collection) Time Spent in a single view, the "JMX tab under 'Tiers and Nodes'" and the "Metrics Browser" are the appropriate methods. TheJMX tab provides access to Java Management Extensions (JMX) metrics, including those related to GC time. The Metrics Browser allows for the customization and aggregation of various metrics, including Host CPU usage and GC metrics, enabling a combined view of these critical performance indicators.
References:
AppDynamics documentation on Monitoring Tiers and Nodes: Discusses the JMX metrics available for Java applications, including garbage collection details.
AppDynamics documentation on the Metrics Browser: Describes how to use the Metrics Browser to view and analyze a wide range of performance metrics.


NEW QUESTION # 34
An E-commerce application is built using microservices architecture design with several components. In AppDynamics, how should the Transaction Detection rules be grouped logically?

  • A. Use Backend Detection
  • B. Use Automatic Discovery
  • C. Use Scope
  • D. Use Transaction Group

Answer: D

Explanation:
For an e-commerce application built using a microservices architecture, logically grouping Transaction Detection rules can be effectively achieved through "Use Transaction Group." This approach allows for the organization of business transactions into meaningful groups that reflect the application's structure and the interactionsbetween its microservices. By grouping transactions, it becomes easier to monitor, analyze, and troubleshoot the application as a whole and its individual components, enhancing the visibility and management of the application's performance.
References:
AppDynamics documentation on Business Transactions: Provides insights on how to configure and manage business transactions, including grouping and monitoring strategies.
AppDynamics documentation on Microservices Monitoring: Offers guidance on best practices for monitoring applications designed with microservices architecture, including transaction grouping.


NEW QUESTION # 35
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