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Cisco 500-420 exam is intended for individuals who have a basic understanding of application performance management, including application monitoring, troubleshooting, and tuning. 500-420 exam validates your ability to install, configure, and manage Cisco AppDynamics, and provides a foundation for implementing more advanced APM practices.
NEW QUESTION # 25
What are two options tor sharing snapshot details from the snapshot window? (Choose two.)
- A. Custom Dashboard
- B. Copy to Clipboard
- C. Download PDF
- D. Export
- E. Custom Report
Answer: C,D
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 # 26
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 # 27
A client needs to reference a metric from different applications on an AppDynamics dashboard. Which of the following is true?
- A. Metrics from different applications can be cross referenced but cannot be combined in a single dashboard
- B. Metrics from different applications can be cross referenced on an AppDynamics dashboard
- C. Metrics from different applications cannot be cross referenced on an AppDynamics dashboard
- D. Metrics from different applications cannot be cross referenced or combined on an AppDynamics dashboard
Answer: B
Explanation:
In AppDynamics, metrics from different applications can indeed be cross-referenced on a single dashboard.
This allows for a more holistic view of an organization's application ecosystem, facilitating the comparison and correlation of performance metrics across different applications within the same AppDynamics controller.
References:
AppDynamics documentation on Custom Dashboards: Details how to create custom dashboards that can include metrics from multiple applications, enabling cross-referencing and comprehensive performance monitoring.
NEW QUESTION # 28
A Performance Analyst needs to define a set of Key Performance Indicators (KPIs) from a group of select metrics. The required performance information resides within the Transaction Analytics data set. Which method will accomplish this task?
- A. Search Queries
- B. Metric Explorer
- C. Experience Level Management
- D. Business Outcome Milestones
Answer: B
Explanation:
The Metric Explorer in AppDynamics allows Performance Analysts to define and visualize Key Performance Indicators (KPIs) from a selection of metrics. By accessing the Transaction Analytics data set, analysts can create custom dashboards that focus on the metrics they've determined to be critical KPIs for their application's performance.
References:
AppDynamics documentation on Metric Explorer:
NEW QUESTION # 29
Which AppDynamics option will allow a Performance Analyst to compare and filter related servers using custom metadata within your environment?
- A. Dynamic Monitoring Mode
- B. Server Visibility
- C. Server Tagging
- D. Standalone Machine Agent
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 # 30
With what frequency are widgets updated during a war room scenario?
- A. Every 5 minutes
- B. Every 10 minutes
- C. Every 60 minutes
- D. Near real-time
Answer: D
Explanation:
During a war room scenario, which is a real-time troubleshooting session, widgets in AppDynamics dashboards update in near real-time. This allows teams to observe the immediate impact of changes and identify issues as they occur.
References:
AppDynamics documentation on War Rooms:
NEW QUESTION # 31
A Performance Analyst is experiencing difficulty with the transaction response time on a node. The Performance Analyst attempts to create a health rule monitoring the business transactions' performance on that node. Which set of data should the Performance Analyst select when creating the health rule?
- A. Error Rates
- B. Service endpoints
- C. Node health
- D. Transaction performance
Answer: D
Explanation:
When a Performance Analyst is faced with issues related to transaction response times on a specific node, focusing on the "Transaction performance" data is most relevant. This is because transaction performance metrics provide direct insights into the business transactions' speed, response times, and execution times, which are critical for identifying and troubleshooting performance issues. By selecting "Transaction performance" when creating a health rule, the analyst can monitor specific metrics such as average response time, slow transaction count, and very slow transaction count, which are directly related to the performance of business transactions on the node in question.
References:
AppDynamics documentation on Health Rules: This section explains how to create and configure health rules to monitor application performance metrics, including transaction performance.
AppDynamics documentation on Business Transactions: Provides details on how AppDynamics identifies and monitors business transactions, which are key to understanding application performance.
NEW QUESTION # 32
Within the configuration setting for Slow Transactions, under the "Configure Diagnostic Session Duration and Collection Rate" option, what is the default value pair for the setting "Collect up to ____snapshots per minute for _____ minutes"?
- A. 4,4
- B. 5,5
- C. 10, 10
- D. 2,2
Answer: C
Explanation:
The default value pair for the setting "Collect up to ____ snapshots per minute for _____ minutes" in the configuration for Slow Transactions is 10, 10. This means that by default, the system is set to collect up to 10 snapshots per minute for a duration of 10 minutes during a diagnostic session.
References:
AppDynamics documentation on Transaction Snapshots: Outlines the default settings for diagnostic session duration and collection rates, including the collection of snapshots.
NEW QUESTION # 33
Which statement is correct regarding controller-level and tier/node-level dashboards?
- A. Controller-level and tier/node-level dashboards are two separate sets. The Performance Analyst cannot cross-reference between these dashboards.
- B. The Performance Analyst can associate a controller-level dashboard with a tier or node through the My Dashboards tab
- C. Controller-level and tier/node-level dashboards are not scoped to be separate entities.
- D. From the controller-level dashboards list the Performance Analyst can access any tier/node-level dashboards outside the application in which they were created.
Answer: A
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 # 34
Which tab within the Application Dashboard displays performance trends for each of Snapshots, Average Response Time, and Events within one central view?
- A. Application Flow Map
- B. Network Dashboard
- C. Dashboard
- D. Events
- E. Transaction Score
Answer: E
Explanation:
The Transaction Score tab within the Application Dashboard is designed to display performance trends across various metrics including Snapshots, Average Response Time, and Events. It gives a comprehensive view of the transaction performance, providing a score that reflects the health and reliability of transactions over time.
References:
AppDynamics documentation on Application Dashboard:
NEW QUESTION # 35
What are two examples of backend calls? (Choose two.)
- A. a tier-to-tier request
- B. an asynchronous request
- C. a request coming from a browser
- D. a remote services call
Answer: A,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 # 36
How does a Performance Analyst identify if automatic remediation has been taken for a health rule violation?
- A. Expand on the "Description" field to display "Actions Executed".
- B. Click on the link inside the Health Rule field and look for the "Affects" tab to display the Executed Actions.
- C. Right-click on "view details" and click on the "Actions Executed" button.
- D. Review the "Application Dashboard" and review "Actions Executed"
Answer: A
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 # 37
Which three data points can be located by drilling down into a JDBC exit call for an Oracle backend? (Choose three.)
- A. Statement type
- B. Originating node
- C. Query Id
- D. Query type
- E. Weight %
- F. %Time
Answer: A,B,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 # 38
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 1000 calls per minute limit is exceeded, and Maximum heap utilization percentage goes above 95%
- B. A maximum of 2000 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 1500 calls per minute limit is exceeded, and Maximum heap utilization percentage goes above 90%
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 # 39
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. Pages & Ajax Requests
- B. Sessions
- C. Overview
- D. Usage Stats
Answer: D
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 # 40
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