CompTIA Exam CV0-003 Topic 3 Question 106 Discussion

The best answer is D. Metrics and time-series data measuring key performance indicators.

Metrics and time-series data are numerical values that represent the state and behavior of a system over time. They can measure key performance indicators (KPIs) such as availability, latency, throughput, error rate, and resource utilization. Metrics and time-series data can help a cloud administrator to monitor, analyze, and troubleshoot the performance characteristics of an application .

Metrics and time-series data are most likely to be used in a reporting dashboard, because they can provide a clear and concise overview of the application's performance. A reporting dashboard is a graphical user interface that displays the most important information about a system or a process in a single view. A reporting dashboard can help a cloud administrator to:

Visualize the trends and patterns of the metrics and time-series data using charts, graphs, tables, or gauges .

Compare the actual performance of the application with the expected or desired performance based on the defined service level objectives (SLOs) or service level agreements (SLAs) .

Identify and diagnose any performance issues or anomalies that may affect the reliability of the application .

Communicate and report the performance status and results to the stakeholders or customers.

The other options are not as likely to be used in a reporting dashboard, because they are either too detailed, too outdated, or too irrelevant for measuring the performance characteristics of the application. For example:

Data from files containing error messages from the application (A) may help to identify and debug some specific errors or exceptions that occur in the application. However, they are not sufficient to measure the overall performance or reliability of the application. They are also too verbose and unstructured to be displayed in a reporting dashboard.

Results from the last performance and workload testing (B) may help to evaluate and optimize the performance of the application under different scenarios and conditions. However, they are not representative of the current or real-time performance of the application in production. They are also too static and outdated to be displayed in a reporting dashboard.

Detail log data from syslog files of the application may help to record and track the events and activities that happen in the application. However, they are not designed to measure the key performance indicators or metrics of the application. They are also too complex and voluminous to be displayed in a reporting dashboard.