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Cisco AppDynamics Associate Performance Analyst certification is a valuable credential for professionals who want to demonstrate their expertise in APM and analytics using Cisco AppDynamics. Certified professionals are recognized for their ability to use Cisco AppDynamics to monitor, troubleshoot, and optimize application performance in complex environments, which can lead to career advancement opportunities and higher salaries.
Cisco AppDynamics Associate Performance Analyst certification exam is intended for professionals who are responsible for APM and analytics, including application developers, IT operations professionals, and system administrators. 500-420 exam covers a wide range of topics, including application architecture and infrastructure, performance metrics and analysis, transaction tracing and diagnostics, and business transaction monitoring.
Cisco 500-420 certification exam is an excellent way to validate your skills and knowledge in the field of application performance management, and can help you advance your career in this exciting and in-demand field. With the right preparation and dedication, you can successfully pass the exam and become a Cisco AppDynamics Associate Performance Analyst.
NEW QUESTION # 32
Which option, in addition to "minutes since creation", would a Performance Analyst use while configuring Automatic Cleanup of stale Business Transactions?
- A. Class/Method Filter
- B. Number of Calls
- C. Transaction Type
- 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 # 33
What are two examples of backend calls? (Choose two.)
- A. a request coming from a browser
- B. a tier-to-tier request
- C. an asynchronous request
- D. a remote services call
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 # 34
Which AppDynamics option will allow a Performance Analyst to compare and filter related servers using custom metadata within your environment?
- A. Server Visibility
- B. Standalone Machine Agent
- C. Server Tagging
- D. Dynamic Monitoring Mode
Answer: C
Explanation:
Server Tagging in AppDynamics allows a Performance Analyst to compare and filter related servers by using custom metadata. This feature enables users to group and organize their servers based on criteria that make sense for their environment, such as role, location, environment type, or any other custom metadata.
References:
AppDynamics documentation on Server Tagging:
https://docs.appdynamics.com/latest/en/infrastructure-visibility/infrastructure-visibility-settings/server-tags
NEW QUESTION # 35
A Performance Analyst has enabled Development Level Monitoring for an application. For a default configuration, in which scenario will Development Level Monitoring get automatically disabled?
- A. A maximum of 1500 calls per minute limit is exceeded, and Maximum heap utilization percentage goes above 90%
- B. A maximum of 1000 calls per minute limit is exceeded, and Maximum heap utilization percentage goes above 95%
- C. A maximum of 500 calls per minute limit is exceeded, and Maximum heap utilization percentage goes above 90%
- D. A maximum of 2000 calls per minute limit is exceeded, and Maximum heap utilization percentage goes above 95%
Answer: C
Explanation:
Development Level Monitoring in AppDynamics is designed for use in a lower volume, non-production environment. For a default configuration, Development Level Monitoring will get automatically disabled if the monitored environment exceeds a threshold, typically a maximum of 1000 calls per minute, and the Maximum heap utilization percentage goes above 95%. These thresholds are in place to prevent excessive overhead in a production environment where such detailed monitoring could impact performance.
References:
AppDynamics documentation on Agent Configuration: Provides information on configuration settings for monitoring levels, including when Development Level Monitoring is automatically disabled due to exceeding thresholds.
NEW QUESTION # 36
Which two functions does the Business Transaction Discovery Feature allow a user to perform? (Choose two.)
- A. Identify servers on which to install an AppDynamics application agent
- B. Identify potential Business Transactions and preview them
- C. Identify new Business transactions in the Business Transaction Dashboard
- D. Identify entry points from uninstrumented code
- E. Identify PHP Business Transactions and preview them
Answer: B,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 # 37
What must a Performance Analyst first configure in order to monitor end-to-end latency performance metrics in AppDynamics?
- A. endpoints for asynchronous transactions
- B. slow end-point identity markers
- C. define the end-to-end latency transaction
- D. additional demarcator methods
Answer: C
Explanation:
To monitor end-to-end latency performance metrics, a Performance Analyst must first define the end-to-end latency transaction. This involves configuring the business transactions to include the necessary entry and exit points that capture the complete flow of the transaction, thereby enabling the measurement of the total latency.
References:
AppDynamics documentation on Business Transactions:
https://docs.appdynamics.com/latest/en/application-monitoring/business-transactions
NEW QUESTION # 38
Which two methods are used to plot Host CPU and GC Time Spent in a single view? (Choose two.)
- A. Metrics Browser
- B. JMX tab under "Tiers and Nodes"
- C. Server tab under "Tiers and Nodes"
- D. Memory tab under Tier and Nodes"
Answer: A,B
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 # 39
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 Business Transactions and enable Show Trends
- D. Review the Transaction Score for the Application
- 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 # 40
What are two differences between creating a Transaction Group using the 'Create Group' action and defining a Transaction Detection rule? (Choose two.)
- A. Create Transaction Group changes the name of the incoming request and reduces the number of overall Business transactions.
- B. Transaction Groups create Transaction Detection Rules in a faster easier way.
- C. A Transaction Group aggregates the data of multiple transactions.
- D. A Transaction Detection Rule changes the name of the incoming request and reduces the number of overall Business transactions.
Answer: B,C
NEW QUESTION # 41
Which values can be used to identify a split exit point?
- A. dynamic application values
- B. static application values
- C. Tetration application values
- D. variable application values
Answer: B
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 # 42
Which permission allows snapshot archiving?
- A. "Agent Advanced Operation"
- B. "Configure Business Transactions"
- C. "Application level - Can create applications"
- D. "Can view data from all applications"
Answer: A
Explanation:
The permission to enable snapshot archiving in AppDynamics typically falls under advanced operational capabilities, such as those categorized under "Agent Advanced Operation." This permission allows users to archive transaction snapshots for long-term storage and analysis, which is essential for historical performance analysis and auditing purposes.
References:
AppDynamics documentation on Role-Based Access Control: Explains the different permissions and roles within AppDynamics, including those related to advanced agent operations and snapshot archiving.
NEW QUESTION # 43 
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. Lower than usual volume at 6/17/18
- B. Elevated Response Time at 6/19/18
- C. Low volume at 6/15/18
- D. Elevated Response Time at 6/25/18
Answer: B
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 # 44
Which feature can be used to determine if a given Java class is visible in AppDynamics?
- A. Preview Business transactions in Business Transaction Discovery Session
- B. Use the object instance tracking feature in memory
- C. Use the thread dump feature on the node agent
- D. Tools in Business Transaction Discovery Session
Answer: A
Explanation:
To determine if a given Java class is visible in AppDynamics, the "Preview Business transactions" feature in a Business Transaction Discovery Session can be used. This feature allows users to validate and preview the detection of business transactions, which includes ensuring that specific Java classes and methods are being correctly identified and monitored by AppDynamics.
References:
AppDynamics documentation on Business Transaction Detection: Explains how to conduct a Business Transaction Discovery Session and use the preview feature to validate the visibility and detection of business transactions, including specific Java classes.
NEW QUESTION # 45
A Performance Analyst notices an increase in Business Transaction error rate that is much higher than normal alerts. The Performance Analyst can see these are related to the Health Rules defined for the Shopping Service that is monitored with AppDynamics Browser RUM. While troubleshooting the Performance Analyst wants details on which Browsers and Devices are affected. Which section of the Browser App Dashboard will provide this detail for a given time period?
- A. Sessions
- B. Usage Stats
- C. Overview
- D. Pages & Ajax Requests
Answer: B
Explanation:
In the Browser Real User Monitoring (RUM) Dashboard, the Usage Stats section provides insights into user demographics, including the types of browsers and devices they are using. This section would help the Performance Analyst understand which browsers and devices are affected during a specific time period when there has been an increase in the Business Transaction error rate.
References:
AppDynamics documentation on Browser RUM:
https://docs.appdynamics.com/21.6/en/end-user-monitoring/browser-monitoring/browser-real-user-monito
NEW QUESTION # 46
Which option should a Performance Analyst use in an environment where virtual machines are routinely created and destroyed?
- A. Dappdynamics.http.proxyHost and -Dappdynamcs.http. proxy User
- B. Dappdynamics.agent.reuse.nodeName and - Dappdynamics.agent.reuse.nodeName.prefix
- C. Dappdynamics.agent.auto.node.prefix and -Dappdynamics.cron.vm
- D. Dappdynamics.agent.node.metainfo and -Dappdynamics.agent.nodeName
Answer: B
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 # 47
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?
- A. Create a Custom Transaction Match Rule based on the Web Service Name and Operation Name
- B. Use the Business Transaction Dashboard for the tier-specific All Other Traffic to register the Business Transaction
- C. Use live preview to identify the Business Transaction and Register it from there
- D. Modify the Automatic Transaction Discovery rule to include the Web Service Name and Operation Name
Answer: A
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 # 48
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 Automatic Discovery
- B. Use Backend Detection
- 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 # 49
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