Cisco 500-430 Exam Dumps

The most important factor in determining sizing for AppDynamics Controller is the projected metric load per minute on the Controller. This is because the metric load represents the actual workload on the Controller, which depends on the nature of the application, the AppDynamics configuration, and the usage patterns. The number of agents, the type of agents, the number of administrators/end users, and the number of AppDynamics applications are only rough estimates that can vary greatly depending on the specific scenario. Therefore, it is recommended to test the performance of the system in a staging environment and verify the Controller sizing using the metric upload rate before deploying to production.Reference:Controller System Requirements,Performance and Controller sizing guidelines,How to Run AppDynamics in Microsoft Azure,Platform Requirements

The REST query that could be used to verify the availability of an AppDynamics Controller is1:

http://<controller_host>:/controller/rest/ping

This query returns a simple text response of ''pong'' if the Controller is up and running, or an error message if the Controller is down or unreachable1.This query does not require any authentication or parameters, and can be used as a quick and easy way to check the Controller status1.Reference:Ping the Controller

The AppDynamics standalone Machine Agent is a Java program that runs on a host machine and collects hardware and infrastructure metrics, such as CPU, memory, disk, and network usage. The Machine Agent can also perform additional functions, such as:

Acting as a forwarder for analytics events: The Machine Agent can be configured to forward business transaction, log, browser, mobile, and synthetic events from the application agents to the AppDynamics Events Service, which is a distributed, scalable data store for analytics data. The Machine Agent can also forward custom events from the SDK or API to the Events Service.This allows you to use the AppDynamics Analytics features, such as dashboards, queries, funnels, and metrics, to analyze the performance and behavior of your applications and users12.

Starting an HTTP listener for custom metrics: The Machine Agent can be configured to start an HTTP listener that can receive custom metrics from external sources, such as scripts, tools, or other applications. The Machine Agent can then report these custom metrics to the AppDynamics Controller, where you can view them in the Metric Browser or use them in health rules, policies, or dashboards.This allows you to monitor any aspect of your system that is not covered by the default Machine Agent metrics34.

The other statements are false because:

B) The Machine Agent cannot send SNMP alerts. The Machine Agent can only receive SNMP traps from external sources and report them as events to the AppDynamics Controller.The AppDynamics Controller can send SNMP alerts to external systems based on health rule violations or events, but this is not a function of the Machine Agent5.

C) The Machine Agent cannot communicate with multiple AppDynamics Controllers. The Machine Agent can only communicate with one Controller at a time, which is specified in the controller-info.xml file in the agent configuration directory. If you want to monitor the same host machine with multiple Controllers, you need to install multiple Machine Agents on the same machine, each with a different Controller configuration and port number .

D) The Machine Agent cannot restart itself if it goes down. The Machine Agent does not have a built-in mechanism to automatically restart itself in case of a failure or a crash. You need to use an external tool or script to monitor the Machine Agent process and restart it if necessary. Alternatively, you can use the AppDynamics Agent Installer to deploy the Machine Agent as a service, which can be configured to restart automatically on failure .

The Machine Agent REST API allows you to create custom events that can be used for various purposes in AppDynamics.Some of the reasons you would create custom events using this API are12:

To create an event to track application deployment. You can use the API to send a custom event that marks the start and end of an application deployment process. This can help you monitor the impact of the deployment on the application performance and availability, as well as correlate any issues or anomalies with the deployment event.

To create an event to be displayed along with Time Series data in a custom dashboard. You can use the API to send a custom event that contains any relevant information or context that you want to display in a custom dashboard. For example, you can send a custom event that contains the details of a configuration change, a maintenance window, a business transaction, or a user action. You can then use the custom dashboard to visualize the custom event data along with the Time Series data for the metrics you are interested in.

To create an event to be used to trigger a health rule violation. You can use the API to send a custom event that contains a metric value that you want to use as a condition for a health rule. For example, you can send a custom event that contains the CPU utilization of a machine, and then create a health rule that evaluates the CPU utilization metric and triggers a violation if it exceeds a certain threshold. You can then use the health rule violation to generate alerts, notifications, or remediation actions.Reference:Machine Agent HTTP Listener,Create Custom Events

According to the Cisco AppDynamics Professional Implementer (CAPI) documents, the two reasons that would require an administrator to install the Events Service cluster manually are:

Security concerns with passwordless SSH (B): This is a valid reason because the automated installation of the Events Service cluster requires passwordless SSH access to the target hosts. Passwordless SSH allows the Enterprise Console to execute commands on the remote hosts without prompting for a password. However, some organizations may have security policies that prohibit passwordless SSH access, as it may pose a risk of unauthorized access or malicious attacks.In such cases, the administrator can install the Events Service cluster manually, by following the steps described in the Manual Installation of the Events Service Cluster document1.

Security requirements to install using a non-root user account : This is a valid reason because the automated installation of the Events Service cluster requires root privileges on the target hosts. Root privileges allow the Enterprise Console to create directories, change permissions, and install packages on the remote hosts. However, some organizations may have security policies that restrict root access, as it may pose a risk of accidental or intentional damage to the system.In such cases, the administrator can install the Events Service cluster manually, by following the steps described in the Manual Installation of the Events Service Cluster document1. The administrator can use a non-root user account that has sudo privileges to perform the manual installation.

The incorrect options are:

Installation on SUSE Linux (A): This is not a valid reason for manual installation, because the automated installation of the Events Service cluster supports SUSE Linux as one of the compatible operating systems.The Enterprise Console can install the Events Service cluster on SUSE Linux hosts using the automated installation process, as long as the hosts meet the prerequisites described in the Events Service Requirements document2.

Installation on Windows (D): This is not a valid reason for manual installation, because the Events Service cluster does not support Windows as an operating system. The Events Service cluster can only run on Linux hosts, as it is based on Apache Cassandra, which is a Linux-based distributed database.The Events Service cluster cannot be installed on Windows hosts, either manually or automatically2.

1: Manual Installation of the Events Service Cluster - AppDynamics

2: Events Service Requirements - AppDynamics