500-425 Exam Dumps - Cisco AppDynamics Associate Administrator (CAAA)

According to the Diagnostic Sessions document1, a diagnostic session is a timed session in which AppDynamics captures transaction snapshots for a business transaction at a more frequent interval that you set. In the session, AppDynamics captures full call graphs for the transactions. A diagnostic session can be triggered manually or automatically based on a health rule violation or a threshold of slow or error transactions. A diagnostic session is always associated with a specific business transaction, not all business transactions configured. Therefore, the correct answer is B. References:

• Diagnostic Sessions

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. References:

• Install the Standalone Machine Agent

To determine and configure the exit call to the database, you need to go to Configuration > Instrumentation > Backend Detection > Java. An exit call is a call from an application component to an external service or system, such as a database, a web service, a message queue, or a cache. A backend is a logical representation of an external service or system that receives exit calls from an application component. AppDynamics automatically detects and identifies common types of backends, such as JDBC, HTTP, JMS, and so on.

According to the Exit Point Detection Rules - AppDynamics, the following steps are required to determine and configure the exit call to the database:

• Go to Configuration > Instrumentation > Backend Detection > Java.
• Select the application and the tier that contains the exit call to the database.
• Click the Add button to create a new exit point detection rule.
• Enter a name and description for the rule.
• Select the type of exit call from the drop-down list, such as JDBC, HTTP, JMS, and so on.
• Specify the class and method that make the exit call to the database.
• Specify the match criteria for the exit call, such as the URL, the query, the host, the port, and so on.
• Click Save.

Therefore, C (Configuration > Instrumentation > Backend Detection > Java) is the correct answer. References:

• Exit Point Detection Rules - AppDynamics
• Cisco AppDynamics Associate Administrator Certification
• Backends - AppDynamics

To manage Controller security settings, you would need to grant the Security Administrator role to an existing user. The Security Administrator role is a built-in role that allows the user to access and modify the security settings of the Controller, such as encryption, certificates, authentication, authorization, and audit1. The Security Administrator role also inherits the permissions of the Credentials Administrator role, which allows the user to manage the credentials for the Controller and the agents2. The other roles listed do not have the permission to manage Controller security settings. The Administrator role can perform most administrative tasks, but not security-related ones2. The Analytics Administrator role can manage the analytics platform and data, but not theController security3. The Account Owner role can manage the account settings and licenses, but not the Controller security4

https://docs.appdynamics.com/appd/21.x/21.1/en/application-monitoring/install-app-server-agents/agent-to-controller-connections

The UniqueHostID agent property is recommended to be used when the machine agent is with multiple app agents on the same machine or when the machine agent is with an app agent on the same machine. This property allows you to specify a unique identifier for the host machine that overrides the default hostname resolution. This helps to avoid conflicts or confusion when multiple agents are running on the same host or when the hostname is not consistent across different agents1 References: 1: How are you able to associate the machine agent with application

Infrastructure monitoring is the feature in AppDynamics that allows you to monitor and troubleshoot the health and availability of the servers that host your applications and their components. Infrastructure monitoring includes metrics such as CPU utilization, memory usage, disk I/O, network traffic, and so on. You can use infrastructure monitoring to detect and resolve the problems that affect the performance and reliability of your servers and applications.

According to the Server Visibility - AppDynamics, the following kind of problem is detected with infrastructure monitoring:

• Process level problems: These are the problems that occur at the process level of the server, such as high CPU consumption, memory leaks, excessive disk I/O, or network congestion. You can use infrastructure monitoring to identify the processes that are consuming the most resources, and drill down to the details of each process, such as the command line, the environment variables, the open files, the threads, and the sockets. You can also use infrastructure monitoring to correlate the process level problems with the application performance problems, such as slow response time, high error rate, or low throughput.

Therefore, E (process level problems) is the correct answer. References:

• Server Visibility - AppDynamics
• Cisco AppDynamics Associate Administrator Certification
• Server Monitoring - AppDynamics

Capacity planning is the process of estimating and allocating the resources needed to meet the current and future demands of an application. For a regionally partitioned application, where different users and organizations are assigned to different databases based on their location, capacity planning requires that the administrator monitors the number of users and orgs mapped to each database and ensures that they do not exceed the available resources.

According to the AppDynamics Analytics - AppDynamics, one way to meet this requirement is to schedule an analytics query to check and report on the result periodically. An analytics query is a SQL-like query that allows you to analyze and visualize the data collected by AppDynamics, such as business transactions, logs, metrics, events, and custom data. You can use analytics queries to create dashboards, widgets, reports, and alerts that provide insights into the performance and behavior of your applications and their components.

To schedule an analytics query to check and report on the number of users and orgs mapped to a database, the administrator can follow these steps:

• Go to Analytics > Search.
• Select the data source that contains the user and org information, such as Business Transactions, Logs, or Custom Data.
• Enter the query that counts the number of users and orgs for each database, such as SELECT database, COUNT(DISTINCT user), COUNT(DISTINCT org) FROM data_source GROUP BY database.
• Click the Save button and enter a name and description for the query.
• Click the Schedule button and select the frequency, time range, and recipients for the query execution and report delivery.
• Click Save.

Therefore, A (Schedule an analytics query to check and report on the result periodically) is the correct answer. References:

• AppDynamics Analytics - AppDynamics
• Cisco AppDynamics Associate Administrator Certification
• Analytics Queries - AppDynamics

Business Transaction metrics are the key performance indicators that measure the health and performance of your applications. They include metrics such as average response time, calls per minute, errors per minute, and so on. You can use various types of performance degradation analysis to identify and troubleshoot the root causes of performance issues using Business Transaction metrics.

According to the Troubleshoot Business Transactions - AppDynamics, the following types of performance degradation analysis are used with Business Transaction metrics:

• Correlation Analysis: This type of analysis helps you to find the correlation between different metrics and events that may affect the performance of your Business Transactions. For example, you can use the correlation analysis to see how the response time of a Business Transaction is related to the CPU utilization of a node, or how the error rate of a Business Transaction is related to the number of slow database calls.
• Remote Services Analysis: This type of analysis helps you to understand how the performance of your Business Transactions is impacted by the calls to remote services, such as databases, web services, message queues, and so on. For example, you can use the remote services analysis to see the response time, call count, error count, and wait time of each remote service call, and drill down to the details of each call.
• Compare Releases: This type of analysis helps you to compare the performance of your Business Transactions across different releases of your application. For example, you can use the compare releases analysis to see how the response time, error rate, and throughput of your Business Transactions have changed after a new deployment, and identify any performance regressions or improvements.

Therefore, A (Correlation Analysis), B (Remote Services Analysis), and E (Compare Releases) are three types of performance degradation analysis that are used with Business Transaction metrics. References:

• Troubleshoot Business Transactions - AppDynamics
• Business Transaction - AppDynamics
• Cisco AppDynamics Associate Performance Analyst Certification