Important Cisco 500-430 CAPI Exam Questions

Answer: A, E

Explanation:

According to the Cisco AppDynamics Professional Implementer (CAPI) documents, the two reasons for the missing correlated server-side snapshots are:

Server has set the HttpOnly flag on all cookies. (A) This is a valid reason because the HttpOnly flag is a security feature that prevents client-side scripts from accessing the cookies. However, the AppDynamics JavaScript Agent relies on the cookies to correlate the browser snapshots with the server-side snapshots. The JavaScript Agent injects a cookie named _appdyn_browser into the browser requests, which contains the correlation information. If the server sets the HttpOnly flag on all cookies, including the _appdyn_browser cookie, the JavaScript Agent cannot read or modify the cookie, and the correlation fails.To enable the correlation, the server should not set the HttpOnly flag on the _appdyn_browser cookie12.

Server-side application is not instrumented with server agent. (E) This is a valid reason because the server-side snapshots are collected by the AppDynamics app agents that instrument the application servers. The app agents monitor the business transactions that are executed by the server-side application, and capture the execution context, call graphs, errors, and metrics. If the server-side application is not instrumented with the app agent, the server-side snapshots are not available, and the correlation fails.To enable the correlation, the server-side application should be instrumented with the app agent that is compatible with the application server and the Controller34.

The incorrect options are:

Correlated server-side snapshots work only for .NET Applications. (B) This is not a valid reason because the correlated server-side snapshots work for any application server that is instrumented with the AppDynamics app agent, not only for .NET applications. The AppDynamics platform supports various application servers, such as Java, .NET, PHP, Node.js, Python, and C/C++.The app agents collect the server-side snapshots for the business transactions that are executed by the application server, regardless of the programming language or framework34.

Correlated snapshots are visible only if the injection mechanism is Automatic. This is not a valid reason because the correlated snapshots are visible regardless of the injection mechanism. The injection mechanism refers to the way the AppDynamics JavaScript Agent is inserted into the web pages. There are two injection mechanisms: Automatic and Manual. The Automatic injection mechanism uses the app agent to inject the JavaScript Agent into the web pages that are served by the application server. The Manual injection mechanism requires the user to manually insert the JavaScript Agent into the web pages. Both injection mechanisms support the correlation of the browser snapshots and the server-side snapshots, as long as the JavaScript Agent and the app agent are configured correctly .

Correlated snapshots are visible only if browser is Chrome. (D) This is not a valid reason because the correlated snapshots are visible regardless of the browser. The AppDynamics JavaScript Agent supports various browsers, such as Chrome, Firefox, Safari, Edge, and Internet Explorer. The JavaScript Agent collects the browser snapshots for the web pages that are loaded by the browser, and correlates them with the server-side snapshots, regardless of the browser type or version .

Correlated server-side snapshots are visible only if Java version is 1.7+. (F) This is not a valid reason because the correlated server-side snapshots are visible regardless of the Java version. The AppDynamics Java Agent supports various Java versions, such as 1.5, 1.6, 1.7, 1.8, and 11. The Java Agent collects the server-side snapshots for the business transactions that are executed by the Java application server, and correlates them with the browser snapshots, regardless of the Java version or vendor .

1: Browser Snapshots - AppDynamics

2: Troubleshoot Browser RUM - AppDynamics

3: Transaction Snapshots - AppDynamics

4: Supported Environments and Versions - AppDynamics

[5]: Browser Real User Monitoring - AppDynamics

[6]: Set Up and Configure Web EUM - AppDynamics

[7]: Browser Support - AppDynamics

[8]: Java Agent - AppDynamics

[9]: Java Supported Environments - AppDynamics

Answer: A

Explanation:

To add a custom extension to a Machine Agent, you need at least three artifacts: a directory, a jar or script file, and a monitor.xml file12. The directory is where you place your extension files under the <machine_agent_home>/monitors directory. The jar or script file is the executable file that collects and reports the custom metrics to the Machine Agent. The monitor.xml file is the configuration file that defines the name, frequency, and parameters of your extension.You can also optionally include other files such as libraries, configuration files, or templates for your extension12.Reference:Build a Monitoring Extension Using Scripts,Extensions and Custom Metrics

Answer: D, E

Explanation:

AppDynamics performance profiles are predefined sets of system requirements and configuration settings that are designed to support different levels of load and scalability for the AppDynamics platform. The performance profiles range from small to extra large, depending on the number of agents, metrics, and events that the platform needs to handle. The large and extra large performance profiles differ from other profile types in the following ways:

They require an enterprise-grade database: The large and extra large performance profiles require an external MySQL database that is enterprise-grade, meaning that it has high availability, scalability, performance, and security features. The database should also have enough disk space, memory, and CPU resources to handle the expected load and growth.The AppDynamics platform uses the database to store configuration data, metric data, event data, and analytics data12.

An alert is generated when disk space falls below 2 GB: The large and extra large performance profiles have a built-in alert mechanism that notifies the administrator when the disk space on the Controller host falls below 2 GB. This is because the Controller needs enough disk space to store temporary files, logs, backups, and snapshots. If the disk space is insufficient, the Controller may experience performance degradation, data loss, or corruption.The administrator should monitor the disk space usage and free up space or add more disk capacity as needed34.

The other statements are false because:

A) They do not need to be installed on a bare metal server. The large and extra large performance profiles can be installed on any supported operating system, such as Linux or Windows, and on any supported platform, such as physical, virtual, or cloud.However, the host machine should have enough CPU, memory, and network resources to meet the performance profile requirements12.

B) They do not need to be run with the High Availability Toolkit. The High Availability Toolkit is an optional tool that can be used to configure and manage a high availability deployment of the AppDynamics platform, where multiple Controllers are clustered together to provide redundancy and failover. The High Availability Toolkit can be used with any performance profile, not just the large and extra large ones. However, the High Availability Toolkit requires a license and additional hardware and software resources .

C) They are supported on Windows. The large and extra large performance profiles can be installed on Windows Server 2012, 2012 R2, 2016, or 2019, as long as the host machine meets the performance profile requirements.However, some features or configurations may not be available or supported on Windows, such as the High Availability Toolkit, the Enterprise Console, or the Events Service12.

Answer: C, E

Explanation:

The AppDynamics .NET Agent can instrument both 32-bit and 64-bit processes, as long as they are running on a supported .NET Framework version and operating system. The agent automatically detects the process architecture and loads the appropriate profiler DLL.You can also specify the process architecture manually in the agent configuration file1. The AppDynamics .NET Agent also supports instrumentation of multiple instances of the same application, such as Windows services or standalone applications. You can configure the agent to assign different tier and node names for each instance, based on the process name, process ID, or command line arguments.This allows you to monitor the performance and health of each instance separately2.

The other statements are false because:

A) AppDynamics .NET Agent does support instrumenting processes running multiple App domains. The agent can monitor multiple App domains within a single process, as long as they are running the same .NET Framework version.The agent can also monitor multiple applications within a single App domain, by using the Standalone Applications element in the agent configuration file3.

B) AppDynamics .NET Agent does not automatically discover all the Windows services to be instrumented. The agent automatically instruments IIS applications only. For Windows services or standalone applications, you need to manually configure the agent by editing the agent configuration file and adding the Windows Services or Standalone Applications element.You also need to provide the executable name, tier name, and node name for each service or application4.

D) AppDynamics .NET Agent does not require that the Windows services are running under the ''App.pool identity user'' account. The agent can instrument Windows services running under any user account, as long as the account has sufficient permissions to load the agent profiler DLL and access the agent configuration and log files.The ''App.pool identity user'' account is only required for IIS applications that run in an application pool5.

Answer: A, E

Explanation:

The AppDynamics REST API for retrieving metrics allows you to get values generated for metrics by specifying the path of the metric and the time frame for the data1.The following statements are true regarding this API12:

Metrics can be retrieved for a fixed time range. You can use the time-range-type parameter to specify a fixed time range such as BEFORE_NOW, AFTER_TIME, or BETWEEN_TIMES. You can also use the duration-in-mins parameter to specify the length of the time range in minutes.

Wildcards can be used in the REST API metric path. You can use the asterisk () character as a wildcard to match any metric name or part of a metric name. For example, you can use the metric path Business Transaction Performance|Business Transactions||*|Average Response Time (ms) to retrieve the average response time for all business transactions in all tiers.Reference:Retrieve Metric Data,Retrieve Metric Hierarchy