Authentic Cisco Certification Exam 500-430 Questions Answers

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. References: Retrieve Metric Data, Retrieve Metric Hierarchy

According to the Cisco AppDynamics Professional Implementer (CAPI) documents, the minimum recommended number of nodes for a redundant Events Service is three ©. The Events Service is a distributed database that stores and processes the analytics data collected by the AppDynamics platform. The Events Service cluster consists of multiple nodes that share the data load and provide fault tolerance and high availability. The minimum number of nodes for a functional Events Service cluster is one, but this is not recommended for production environments, as it does not provide any redundancy or resilience. The minimum number of nodes for a redundant Events Service cluster is three, as this allows the cluster to tolerate the failure of one node without losing any data or availability. The recommended number of nodes for a redundant Events Service cluster is five or more, as this provides better performance and scalability12.

The incorrect options are:

• 1 (A): This is not a valid option because a single-node Events Service cluster does not provide any redundancy or resilience. If the node fails, the cluster becomes unavailable and the data is lost. A single-node Events Service cluster is only suitable for testing or development purposes, not for production environments12.
• 2 (B): This is not a valid option because a two-node Events Service cluster does not provide sufficient redundancy or resilience. If one node fails, the cluster becomes unstable and may lose data or availability. A two-node Events Service cluster is not recommended for production environments12.
• 4 (D): This is not a valid option because a four-node Events Service cluster is not optimal for redundancy or resilience. A four-node Events Service cluster has an even number of nodes, which may cause a split-brain scenario, where the cluster is divided into two equal partitions that cannot communicate with each other. This may result in data inconsistency or unavailability. A four-node Events Service cluster can be improved by adding a fifth node to avoid the split-brain scenario12.

References:

• 1: Events Service Deployment - AppDynamics
• 2: Events Service Requirements - AppDynamics

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 isbecause 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.

References: Platform Requirements, Controller System Requirements, Controller Disk Space Requirements, Controller Disk Space Alert, [High Availability], [High Availability Toolkit]