Free Cisco 500-420 Practice Exam with Questions & Answers | Set: 2

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

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:

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.

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-monitoring

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.

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.

When integrating with a third-party event management system, the Performance Analyst can set up an HTTP Request action within AppDynamics. This allows for the creation of a custom HTTPrequest to the event management system's API, which can be configured to send alerts to Level 1 support or any other designated recipient.

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.

The "Method Invocation Data Collector" is specifically designed to capture code-level data such as method arguments, variables, and return values. This type of data collector enables deep visibility into the execution of methods within transactions, providing valuable insights into the application's behavior and performance. This detailed level of monitoring is essential for diagnosing complex issues and understanding the inner workings of business transactions.

References:

• AppDynamics documentation on Data Collectors: Details the types of data collectors available, including Method Invocation Data Collectors, and how they can be used to capture detailed code-level data.