Pass Exam With Full Sureness – 500-420 Dumps with 125 Questions [Q37-Q54]

500-420 Cisco

admin • August 31, 2026

Pass Exam With Full Sureness – 500-420 Dumps with 125 Questions [Q37-Q54]

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Pass Exam With Full Sureness – 500-420 Dumps with 125 Questions

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Cisco 500-420 exam is a comprehensive test that covers a wide range of topics related to AppDynamics technology. It tests the candidate’s understanding of the AppDynamics architecture, the various components of the AppDynamics platform, and how to configure and manage them. It also tests the candidate’s knowledge of AppDynamics best practices, troubleshooting techniques, and performance optimization techniques.

Cisco 500-420 exam is designed for individuals who are looking to begin their career in performance analytics. 500-420 exam is also known as the Cisco AppDynamics Associate Performance Analyst certification exam. Cisco AppDynamics Associate Performance Analyst certification is ideal for those who want to learn about monitoring, testing, and analytics. 500-420 exam is intended for professionals who are involved in performance analysis and monitoring, including application developers, support engineers, technical consultants, and IT managers.

NEW QUESTION 37
A Performance Analyst has an urgent need to gather more data for an ongoing issue. What should the Performance Analyst do?

Enable Development Level Monitoring

Browse the Metric Browser for errors

Review the various transaction snapshots to identify anomalies

Carefully monitor the snapshots for errors

If a Performance Analyst has an urgent need to gather more data for an ongoing issue, they should enable Development Level Monitoring. This monitoring level increases the amount of detailed diagnostic data collected by the agent, such as snapshots and transaction traces, which can provide deeper insights into the issue at hand.
References:
AppDynamics documentation on Monitoring Levels: Describes the different levels of monitoring available, including Development Level Monitoring and the types of data each level collects.

NEW QUESTION 38
What AppDynamics Alert Action does a Performance Analyst need to select to post an AppDynamics event to a third-party collaboration tool?

Make an HTTP Request

Create or Update a JIRA Ticket

Take a thread dump

Run a script or executable on problematic nodes

The correct action is Make an HTTP Request. AppDynamics uses HTTP Request actions to send event information to external systems that expose a REST API, webhook, or other HTTP-based integration endpoint. A Performance Analyst can configure the destination URL, HTTP method, headers, authentication, and request body, then include AppDynamics event variables in the payload.
This allows a health rule violation, policy trigger, or other supported event to be posted directly into a third- party collaboration platform. The external tool can then display the alert in a channel, notify an operations team, or initiate its own workflow.
Create or Update a JIRA Ticket is intended specifically for issue-tracking integration rather than general collaboration-platform messaging. Take a thread dump is a diagnostic action used to capture application thread activity. Run a script or executable on problematic nodes is a remediation action and does not directly post an event to an external collaboration service.
Relevant CAAPA Study Guide topics include Policies, Alert Actions, HTTP Request Actions, Webhook Integrations, Event Templates, Health Rule Violations, and Third-Party Notification Workflows.

NEW QUESTION 39

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

Set the time range and drill down into the snapshots in the Error tab.

Set the time range and examine the Slow Response Times tab.

Set the time range and examine the dashboard for errors.

Set the time range and drill down into the snapshots in the Events tab.

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 40

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?

Elevated Response Time at 6/19/18

Elevated Response Time at 6/25/18

Lower than usual volume at 6/17/18

Low volume at 6/15/18

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 41
What is the Node limit of the maximum Service Endpoints per node?

100

250

1000

AppDynamics imposes a limit on the number of Service Endpoints that can be registered per node to ensure manageable performance and overhead. The limit per node is set to 100 Service Endpoints, which is a balance between providing detailed monitoring and maintaining application performance.
References:
AppDynamics documentation on Service Endpoints: https://docs.appdynamics.com/latest/en/application- monitoring/monitor-service-endpoints

NEW QUESTION 42
Which view presents a calculated percentage of the slow, very slow, and stalled Business Transactions?

Transaction Score

Slow Responses under Troubleshoot

Business Transactions

Metric Browser

The Transaction Score view presents the calculated percentage of Business Transaction executions classified by performance category, including normal, slow, very slow, stalled, and error transactions. AppDynamics determines these classifications by comparing each transaction’s response time with the configured slow and very slow thresholds, which may be based on dynamic baselines or static threshold values.
The resulting Transaction Score provides a concise, application-level indication of user-impacting performance. A rising percentage of slow, very slow, or stalled transactions quickly shows that a greater portion of the workload is experiencing degradation, even when overall average response time appears acceptable.
The Slow Responses troubleshooting view is used to investigate individual slow transaction instances and snapshots rather than calculate the overall percentage distribution. The Business Transactions view lists transaction-level metrics and trends but does not provide the same summarized scoring visualization. The Metric Browser displays raw and aggregated metrics but requires manual selection and interpretation.
Relevant CAAPA Study Guide topics include Transaction Score, Business Transaction Performance Classification, Slow and Very Slow Thresholds, Stalled Transactions, Dynamic Baselines, Transaction Snapshots, and Application Health Analysis.

NEW QUESTION 43
How does a Performance Analyst identify if automatic remediation has been taken for a health rule violation?

Review the ” Application Dashboard ” and review ” Actions Executed “

Click on the link inside the Health Rule field and look for the ” Affects ” tab to display the Executed Actions.

Expand on the ” Description ” field to display ” Actions Executed ” .

Right-click on ” view details ” and click on the ” Actions Executed ” button.

NEW QUESTION 44
Which tool should be used to analyze all the External Call details, including database and remote service calls, for a specific Business Transaction?

Business Transaction List

Application Dashboard

Transaction Snapshot

Metric Browser

The Transaction Snapshot is the correct tool for analyzing detailed external calls associated with a specific Business Transaction. A snapshot captures one execution instance and provides drill-down visibility into the complete transaction path, including database calls, remote service calls, exit calls, call graphs, errors, and timing information.
Within the snapshot, the DB and Remote Services Calls view identifies each downstream dependency invoked during the transaction. The Performance Analyst can examine call duration, number of calls, SQL or database activity where available, remote service destinations, backend response time, and the contribution of each external call to total transaction latency. This makes snapshots particularly effective for determining whether a slow database query or remote service is responsible for degraded Business Transaction performance.
The Business Transaction List provides aggregated transaction metrics but not execution-level external call detail. The Application Dashboard summarizes overall application behavior and dependencies, while the Metric Browser displays time-series metrics without the complete per-transaction call context.
Relevant CAAPA Study Guide topics include Transaction Snapshots, DB and Remote Services Calls, Exit Calls, Call Graphs, Backend Analysis, and Business Transaction Troubleshooting.

NEW QUESTION 45
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?

Review Business Transactions and enable Show Trends

In Metric Browser Plot Calls/min for the Application

Review Top Business Transactions by Load in the Application Dashboard

Review the Transaction Score for the Application

Review all elements in the Application Flow Map and identify variations in load

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 46
With what frequency are widgets updated during a war room scenario?

Near real-time

Every 5 minutes

Every 10 minutes

Every 60 minutes

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 47
The performance impact on the_______would lead a Performance Analyst to limit the duration and frequency of automatic diagnostic sessions.

Application

Controller

Network

Operating System

The primary concern for a Performance Analyst when considering the impact of automatic diagnostic sessions is the application itself. Intensive diagnostic sessions can be resource-heavy, potentially affecting the application ‘ s performance. Therefore, it is often necessary to limit the duration and frequency of these sessions to ensure they do not negatively impact the application’s end-user experience.
References:
AppDynamics documentation on Diagnostic Sessions: https://docs.appdynamics.com/latest/en/troubleshoot
/diagnostic-sessions

NEW QUESTION 48
Which permission allows snapshot archiving?

“Can view data from all applications”

“Configure Business Transactions”

“Agent Advanced Operation”

“Application level – Can create applications”

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 49
Which values can be used to identify a split exit point?

Tetration application values

dynamic application values

static application values

variable application values

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 50
A Performance Analyst needs to send a summary report of specific events every two hours. Which feature can enable this automated report summary?

Email Templates

HTTP Request Templates

Email Digests

Email / SMS Configuration

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 51
When should URI Segments be used in Transaction Detection rules?

When identifying business transactions using particular parts of the SMTP request

When the application uses message-oriented technologies

When the application is a Web-Oriented Technology

When the agent names the business transaction for the Web service name plus the operation name

URI Segments should be used in Transaction Detection rules when the application is web-oriented. Web- oriented applications often have meaningful information in the URI that 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 52

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?

Elevated Response Time at 6/19/18

Elevated Response Time at 6/25/18

Lower than usual volume at 6/17/18

Low volume at 6/15/18

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 53
Refer to the exhibit.

The application flow map shows several downstream applications in yellow, while the flow lines are blue and activity within the current application appears normal. Because the tier depends on these downstream applications, how could a Performance Analyst quickly evaluate the map against previous performance?

Use the function Compare Against Baseline

Use Correlation Analysis

Open and review the Health Rule Violations

View the Metric Browser Baselines

The Performance Analyst should use Compare Against Baseline. This flow-map function provides an immediate comparison between current application behavior and the established historical baseline for the selected time range. It helps identify whether response time, load, call volume, or dependency behavior has deviated from what AppDynamics considers normal.
In the exhibit, the yellow downstream applications indicate a warning state, even though the blue flow lines suggest that the current calls themselves are not showing an obvious critical condition. Comparing the current flow map against baseline allows the analyst to determine whether those downstream dependencies are performing worse than their customary levels and whether the tier’s dependency pattern has changed.
Correlation Analysis is intended to identify statistical relationships among metrics rather than provide a direct historical flow-map comparison. Health Rule Violations show triggered conditions but do not provide the fastest visual comparison with prior performance. Metric Browser Baselines can expose baseline values for individual metrics, but require more manual investigation.
Relevant CAAPA topics include Application Flow Maps, Dynamic Baselines, Compare Against Baseline, Dependency Analysis, and Health-State Interpretation.

NEW QUESTION 54
When a manual diagnostic session is triggered, what snapshots are captured?

Snapshots for all nodes that contributed to slow, very slow, or error business transactions

Snapshots for all nodes through which a business transaction passes

Snapshots for all slow, very slow, or error business transactions regardless of node

Snapshots on the triggering nodes at the start of the business transaction

A manual diagnostic session causes AppDynamics to collect detailed transaction snapshots for the selected Business Transaction during the active diagnostic period. When an instance of that Business Transaction crosses multiple instrumented tiers or nodes, the snapshot collection context is propagated with the transaction. Consequently, AppDynamics captures the participating transaction segments from all nodes through which the Business Transaction passes, producing an end-to-end distributed snapshot.
The capture is not restricted to transactions classified as slow, very slow, or errors. Those classifications are commonly used by automatic diagnostic-session and snapshot-triggering mechanisms, whereas a manual session is deliberately initiated to gather deeper diagnostic evidence, including transactions that might otherwise be considered normal.
Option D is incomplete because the triggering node initiates snapshot collection, but the resulting distributed snapshot can include downstream nodes that participate in the transaction. Options A and C incorrectly limit collection to performance-policy violations and error conditions.
Relevant CAAPA Study Guide topics include Transaction Snapshots, Manual Diagnostic Sessions, Distributed Transaction Correlation, Call Graph Collection, Business Transaction Health, and Cross-Tier Transaction Tracing.

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