Cisco 500-425 Practice Test - Questions Answers, Page 6

The default auto-refresh interval for custom dashboards is 120 seconds. This means that the data displayed on the dashboard will be updated every two minutes. The auto-refresh interval can be configured by the dashboard owner or administrator from the dashboard settings. The auto-refresh interval can be set to any value between 15 and 300 seconds, or disabled altogether. The auto-refresh interval applies to all the widgets on the dashboard, unless a widget has its own refresh interval specified. https://docs.appdynamics.com/appd/23.x/latest/en/appdynamics-essentials/dashboards-and-reports/custom-dashboards/create-and-manage-custom-dashboards-and-templates

According to the Upgrade the Java Agent document1, one of the reasons to upgrade AppDynamics agents is to resolve agent issues, such as bugs, performance problems, or compatibility issues with the Controller or the monitored application. Another reason to upgrade AppDynamics agents is to take advantage of new features, such as enhanced metrics, dashboards, alerts, or integrations, that are introduced in newer agent versions. Therefore, the correct answer is A and D. Database issues and application upgrade are not directly related to the agent upgrade, unless they affect the agent functionality or compatibility.Reference:

Upgrade the Java Agent

Two types of information that can be shared without an AppDynamics login are Flow Map and Custom Dashboards. Flow Map is a graphical representation of the application topology, showing the interactions between the tiers, nodes, backends, and remote services. Custom Dashboards are user-defined views of the application performance data, metrics, and events.You can share these types of information by generating a shareable link from the Controller UI, which can be accessed by anyone who has the link, without requiring a login12Reference:1:Share a Flow Map2:Share a Custom Dashboard

According to the Install the Standalone Machine Agent document1, the machine agent is a standalone Java program that collects performance statistics about your environment. It can be deployed on any machine that hosts application servers, database servers, messaging servers, Web servers, etc. However, the machine agent does not start collecting metrics as soon as it is installed. You need to start the machine agent manually or configure it to run as a service or a daemon. Therefore, the correct answer is D. The machine agent does not require an app agent to collect metrics, nor does it run with the monitored application. These are false statements.Reference:

Install the Standalone Machine Agent

According to the Tiers and Nodes document1, establishing standards for naming applications, tiers, and nodes can help you identify and organize the components of your monitored environment, as well as troubleshoot performance issues and health rule violations. Some of the statements about establishing naming conventions are true:

Application Tier and Node values can be configured in the application agent startup script: This is true for Java agents, as you can pass values to the agent that will be used as the application, tier, and node name for the system.For example, you can use the -Dappdynamics.agent.applicationName, -Dappdynamics.agent.tierName, and -Dappdynamics.agent.nodeName properties to specify the names in the JVM startup script2.

Node names must be unique across the entire business application: This is true, as node names are used to identify the individual instances of the application components that are monitored by AppDynamics. Having duplicate node names can cause confusion and errors in the data collection and reporting.Therefore, you should use a naming convention that ensures uniqueness and clarity for each node1.

Application Tier and Node values can be configured in the controller-info.xml file: This is true for Java agents, as you can also configure the names in the controller-info.xml file, which is located in the /conf directory. The controller-info.xml file contains the properties that define the agent identity and connection to the Controller.You can use the , <tier-name>, and <node-name> elements to specify the names in the file2.

Some of the statements about establishing naming conventions are false:

Nodes that reside on different Tiers and different machines (hosts) can have duplicate Node names: This is false, as node names must be unique across the entire business application, regardless of the tier or the host they belong to. Having duplicate node names can cause confusion and errors in the data collection and reporting.Therefore, you should use a naming convention that ensures uniqueness and clarity for each node1.

Nodes that reside on the same Tier but on different machines (hosts) can have duplicate Node names: This is also false, as node names must be unique across the entire business application, regardless of the tier or the host they belong to. Having duplicate node names can cause confusion and errors in the data collection and reporting.Therefore, you should use a naming convention that ensures uniqueness and clarity for each node1.

Tiers and Nodes

Name Business Applications, Tiers, and Nodes

Server performance data is the information that AppDynamics collects and reports about the health and availability of the servers that host your applications and their components. Server performance data includes metrics such as CPU utilization, memory usage, disk I/O, network traffic, and so on. You can use server performance data to monitor and troubleshoot the performance issues of your servers and applications.

According to theServer Visibility - AppDynamics, the following two reasons are important for the engineer to view and analyze server performance data at this time:

Visualizing application performance during normal operations helps identify when the application performance is abnormal: This means that by comparing the current server performance data with the historical or baseline data, you can detect any anomalies or deviations that may indicate a potential problem or degradation of your application performance. For example, you can use the Server Dashboard to see the current and historical trends of the server metrics, and use the Anomaly Detection feature to identify any outliers or unusual patterns.

Graphs and charts collected at this time are useful for showing application owners the stability of their application: This means that by using the graphical and visual representations of the server performance data, you can communicate and demonstrate the reliability and efficiency of your application to the stakeholders and customers. For example, you can use the Server Health Report to generate a summary of the server health status, availability, and performance over a specified time period, and share it with the application owners.

Therefore,A(Visualizing application performance during normal operations helps identify when the application performance is abnormal) andB(Graphs and charts collected at this time are useful for showing application owners the stability of their application) are two important reasons for the engineer to view and analyze server performance data at this time.Reference:

Server Visibility - AppDynamics

Cisco AppDynamics Associate Administrator Certification

Server Monitoring - AppDynamics

Snapshots are the detailed records of the execution of a business transaction, including the call stack, the exit points, the errors, and the metrics. To locate snapshots showing slow database response, you can use the following methods:

Go to the list of snapshots and apply a filter based on slow database response: You can access the list of snapshots from the Business Transaction Dashboard or the Tier Dashboard. You can then apply a filter to show only the snapshots that have a slow database response time, which is the time spent by the business transaction in calling the database. You can specify the minimum and maximum values for the slow database response time, or use the predefined options such as slower than 1 second, slower than 5 seconds, etc. You can also combine this filter with other filters, such as time range, business transaction name, tier name, node name, etc.to narrow down the results1.

From the flow map, right-click the database icon and select view snapshots: You can access the flow map from the Application Dashboard, the Business Transaction Dashboard, or the Tier Dashboard. The flow map shows the graphical representation of the flow of the business transactions, including the tiers, the nodes, the backends, and the remote services. You can right-click on any database icon on the flow map and select view snapshots to see the list of snapshots that have called that database.You can then sort or filter the snapshots by the database response time column to find the slowest ones2.

The other options are not valid methods to locate snapshots showing slow database response. Going to the dashboard for the database and selecting slowest database calls will show the metrics and the flow map for the database, but not the snapshots. Going to the list of snapshots and selecting analyze for a group of snapshots will show the summary and the comparison of the selected snapshots, but not the database response time.

https://community.appdynamics.com/t5/Share-a-tip/Snapshots-and-identifying-intermittent-issues/td-p/42896

The custom dashboard feature in AppDynamics allows you to display a specific set of metrics and data points on one screen. You can use custom dashboards to present selected metrics for a user who only needs a relatively narrow or focused view of the data. You can also share custom dashboards with other users and stakeholders.

According to the [Custom Dashboards - AppDynamics], some of the advantages of the custom dashboard feature are:

It makes drill down across tiers seamless: You can use the grid layout type to create a flexible layout that is easy to rearrange on the canvas. The grid layout also scales in size when viewed on mobile devices. You can also use the absolute layout type to control width and height and the exact placement of widgets on the canvas.

It monitors metrics of interest: You can add widgets from various categories, such as application, server, database, performance, events, and so on. You can also customize the widget properties panel to configure the widget settings, such as title, description, color scheme, time range, auto-refresh interval, and so on.

It schedules dashboard as a report: You can export your custom dashboard as a PDF or HTML report that you can send by email or save as a file. You can also schedule your custom dashboard to run periodically using cron expressions.

Therefore,A(It makes drill down across tiers seamless),C(It monitors metrics of interest), andE(It schedules dashboard as a report) are three advantages of the custom dashboard feature.Reference:

[Custom Dashboards - AppDynamics]

[Create and Manage Custom Dashboards and Templates - AppDynamics]

Custom Dashboard Permissions - docs.appdynamics.com

An HTTP Data Collector is a type of data collector that captures data from HTTP requests and responses. It can capture three kinds of data: parameter values, headers, and cookies. Parameter values are the values of the query string or form parameters in the HTTP request. Headers are the key-value pairs that are sent or received as part of the HTTP request or response. Cookies are the small pieces of data that are stored by the browser and sent to the server with each request. An HTTP Data Collector can be configured to capture any of these data types by specifying the name of the parameter, header, or cookie in the data collector settings. The captured data can be used for various purposes, such as adding context to business transactions, creating custom metrics, or triggering health rules.

https://community.appdynamics.com/t5/NET-Agent-Installation/HTTP-Data-Collector-How-to-know-the-HTTP-Params-name/td-p/24186