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Pass AppDynamics Certified Associate 500-420 Exam With 66 Questions
Cisco 500-420 exam is an excellent certification for individuals who want to start their career in performance analytics. Cisco AppDynamics Associate Performance Analyst certification provides the candidates with the knowledge and skills required to analyze and troubleshoot performance issues in applications and infrastructure. Cisco AppDynamics Associate Performance Analyst certification is vendor-specific and focuses on the use of Cisco AppDynamics, which is a leading application performance management solution. 500-420 exam covers topics such as performance testing, monitoring, and troubleshooting, and consists of multiple-choice questions and simulations.
Cisco 500-420 exam covers topics such as the basic concepts of application performance management, the use of Cisco AppDynamics for monitoring and analysis, performance testing, and troubleshooting. 500-420 exam is also designed to test the candidate's knowledge of the AppDynamics Controller, which is the main component of the AppDynamics solution. 500-420 exam consists of multiple-choice questions and simulations, which are designed to test the candidate's ability to troubleshoot real-world performance issues.
NEW QUESTION # 25
When should URI Segments be used in Transaction Detection rules?
- A. When the application is a Web-Oriented Technology
- B. When the application uses message-oriented technologies
- C. When identifying business transactions using particular parts of the SMTP request
- D. When the agent names the business transaction for the Web service name plus the operation name
Answer: A
Explanation:
URI Segments should be used in Transaction Detection rules when the application is web-oriented.
Web-oriented applications often have meaningful information in the URIthat can identify different business transactions. URI Segments can help in defining patterns that match specific parts of the URI to distinguish different transactions.
References:
AppDynamics documentation on Transaction Detection:
https://docs.appdynamics.com/latest/en/application-monitoring/business-transactions
NEW QUESTION # 26
Which two functions does the Business Transaction Discovery Feature allow a user to perform? (Choose two.)
- A. Identify potential Business Transactions and preview them
- B. Identify servers on which to install an AppDynamics application agent
- C. Identify new Business transactions in the Business Transaction Dashboard
- D. Identify PHP Business Transactions and preview them
- E. Identify entry points from uninstrumented code
Answer: A,C
Explanation:
The Business Transaction Discovery feature in AppDynamics allows users to identify new and potential business transactions directly within the Business Transaction Dashboard. This feature aids in the continuous monitoring and adaptation of the application's transaction tracking to changing business needs, ensuring comprehensive visibility. Users can also preview these identified transactions, assessing their relevance and impact on the application's performance before deciding to monitor them as official business transactions.
References:
AppDynamics documentation on Business Transaction Monitoring: Discusses how to manage and monitor business transactions, including the discovery and preview of new or potential transactions.
AppDynamics documentation on Business Transaction Dashboard: Explains the functionalities and features of the Business Transaction Dashboard, including transaction discovery.
NEW QUESTION # 27 
Refer to the exhibit. On which tab will the configured transaction threshold be found?
- A. Call Graph
- B. Slow Calls & Error
- C. Overview
- D. DB and Remote Services Calls
- E. More
Answer: C
Explanation:
In Cisco AppDynamics, the transaction threshold configurations are typically found under the "Overview" tab.
This is where you can view the health rule violations and performance baselines that are associated with transaction snapshots, which can include the configured transaction thresholds. These thresholds set the acceptable performance limits for transactions, and when these limits are exceeded, it may trigger health rule violations that are visible on the Overview tab.
References:
AppDynamics Documentation on Transaction Snapshots
AppDynamics Documentation on Health Rule Violations
NEW QUESTION # 28
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. Top Business Transactions
- B. Machine Snapshots
- 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 # 29
What are two types of Data CollectorsinAppDynamics APM? (Choose two.)
- A. SQL data collectors
- B. HTTP data collectors
- C. Method invocation data collectors
- D. Remote Service invocation data collectors
Answer: A,C
Explanation:
In AppDynamics Application Performance Management (APM), two types of Data Collectors are SQL data collectors and Method invocation data collectors. SQL data collectors capture and record detailed information about SQL queries executed by the application, helping identify slow or inefficient database operations.
Method invocation data collectors capture information about specific method calls within the application code, including execution times and parameters, providing deep insights into code-level performance.
References:
AppDynamics documentation on Data Collectors: Provides detailed information on configuring SQL and Method invocation data collectors for in-depth application monitoring.
NEW QUESTION # 30
Which two Key Performance Indicators (KPIs) accurately provide insight into server level resource consumption? (Choose two.)
- A. Average Response Time
- B. Calls per Minute
- C. Availability
- D. Application Restarts
- E. Memory Used%
- F. CPU %Busy
Answer: E,F
Explanation:
Key Performance Indicators (KPIs) such as "CPU %Busy" and "Memory Used%" are critical for providing insights into server-level resource consumption. "CPU %Busy" indicates the percentage of time the CPU is actively working on processes, reflecting the server's processing workload. "Memory Used%" shows the proportion of memory utilized, indicating how much of the server's RAM is being consumed by applications and processes. These KPIs are essential for understanding and managing server performance and resource allocation.
References:
AppDynamics documentation on Server Monitoring: Includes information on monitoring server-level metrics, including CPU and memory utilization, to assess resource consumption.
NEW QUESTION # 31
What is the purpose of a transaction snapshot?
- A. To analyze issues with a specific instances of a transaction
- B. To analyze issues only with a transaction flagged as stalled
- C. To analyze issues only with a transaction flagged as slow
- D. To analyze issues with a specific business transaction
Answer: D
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 # 32
Which two methods are used to plot Host CPU and GC Time Spent in a single view? (Choose two.)
- A. Memory tab under Tier and Nodes"
- B. Server tab under "Tiers and Nodes"
- C. Metrics Browser
- D. JMX tab under "Tiers and Nodes"
Answer: C,D
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 # 33
Which built-in scheduled report Includes load, response time, and error graphs?
- A. User Experience: Browser Apps
- B. All Application Summary
- C. Application Health Report
- D. Dashboard Report
Answer: C
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 # 34
A Performance Analyst has opened a database collector view. Which tab should be clicked on next to find slow queries?
- A. Schemas
- B. Object Browser
- 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 # 35 
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 6/19/18
- B. Lower than usual volume at 6/17/18
- C. Elevated Response Time at 6/25/18
- D. Low volume at 6/15/18
Answer: A
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 # 36
What are two differences between creating a Transaction Group using the 'Create Group' action and defining a Transaction Detection rule? (Choose two.)
- A. A Transaction Group aggregates the data of multiple transactions.
- B. Transaction Groups create Transaction Detection Rules in a faster easier way.
- C. Create Transaction Group changes the name of the incoming request and reduces the number of overall Business transactions.
- D. A Transaction Detection Rule changes the name of the incoming request and reduces the number of overall Business transactions.
Answer: A,B
NEW QUESTION # 37
Which two statements are correct about creating Information Points? (Choose two.)
- A. A wildcard can be used to select multiple methods for an Information Point.
- B. A wildcard can be used to select multiple classes for an Information Point.
- C. An Information Point can be created on the same class and method as a Custom Exit Point.
- D. An Information Point can be created on a class and method that is executed before the Business Transaction entry point.
Answer: A,B
Explanation:
When creating Information Points in AppDynamics, wildcards can be utilized to select multiple methods or classes, thereby broadening the scope of data collection. This feature is particularly useful for monitoring similar operations across different components of an application, enabling a more efficient and scalable approach to gathering custom metrics.
References:
AppDynamics documentation on Information Points: Elaborates on the process of setting up Information Points, including the use of wildcards to capture metrics from multiple methods or classes.
NEW QUESTION # 38
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 # 39
In which two features of AppDynamics can Information Points metric data be used? (Choose two.)
- A. Flow Maps
- B. Analytics
- C. Custom Dashboards
- D. Alerting
Answer: C,D
Explanation:
Information Points in AppDynamics are custom metrics that track specific data within your applications, such as method invocations or the value of method arguments. These metrics can be utilized in various features of AppDynamics, most notably in "Alerting" and "Custom Dashboards." Alerting allows you to set up notifications based on the thresholds set for Information Points, ensuring that teams are promptly informed about significant changes or anomalies. Custom Dashboards enable the visualization of Information Points metrics alongside other key performance indicators, providing a comprehensive view of application health and performance tailored to specific needs.
References:
AppDynamics documentation on Information Points: Explains how to create and use Information Points to monitor specific business-relevant metrics.
AppDynamics documentation on Alerting: Details the process of setting up health rules and alerts based on various metrics, including those from Information Points.
AppDynamics documentation on Custom Dashboards: Guides on how to create dashboards that incorporate a wide range of metrics, including Information Points, for customized monitoring.
NEW QUESTION # 40
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. Click on the link inside the Health Rule field and look for the "Affects" tab to display the Executed Actions.
- C. Expand on the "Description" field to display "Actions Executed".
- D. Right-click on "view details" and click on the "Actions Executed" button.
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 # 41
What are two options tor sharing snapshot details from the snapshot window? (Choose two.)
- A. Export
- B. Copy to Clipboard
- C. Download PDF
- D. Custom Report
- E. Custom Dashboard
Answer: A,C
Explanation:
To share snapshot details from the snapshot window in AppDynamics, the options to "Download PDF" and
"Export" are typically used. "Download PDF" allows users to generate a PDF report of the snapshot details, providing a convenient and portable format for sharing and review. The "Export" option enables the extraction of snapshot data in various formats (e.g., CSV, XML), facilitating further analysis or sharing with other tools and stakeholders.
References:
AppDynamics documentation on Snapshots: This section covers how snapshots capture detailed performance data for transactions, including how to share and export this information for collaborative analysis.
NEW QUESTION # 42 
Refer to the exhibit. Using this heap utilization graph, which method is used to confirm if a memory leak is occurring during a certain time frame?
- A. In metric browser go through Application Infrastructure > Hardware Resources > Memory Total (MB) and Swap Used (MB)
- B. Refer to the Tiers and Nodes section and into the Memory tab and visualize Heap Utilization (%) and Heap Current Usage (MB) Vs Max (MB)
- C. In metric browser go through Application Infrastructure > Hardware Resources and select Memory Total (MB) and Used (MB)
- D. Refer to the Tiers and Nodes section and into the JMX tab and select JVM > Memory > Heap > Max Available (MB) and Current usage (MB)
Answer: B
Explanation:
To confirm if a memory leak is occurring, one should refer to the Tiers and Nodes section of the AppDynamics Controller UI, navigate to the Memory tab, and observe the Heap Utilization over time in relation to the Heap's Current Usage (MB) versus the Maximum (MB) allocated. Consistent growth in heap utilization or an upward trend that does not decrement even after garbage collection indicates a potential memory leak.References:AppDynamics documentation on Memory Leak Detection and Heap Analysis.
NEW QUESTION # 43
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