Exam CISA topic 1 question 2 discussion

Option C. Statistical metrics measuring capacity utilization would be the most useful when analyzing computer performance. These metrics provide valuable information on how resources, such as CPU, memory, and storage, are being used and can help identify bottlenecks or underutilized resources. This information can then be used to optimize resource usage, such as by adding more memory or upgrading hardware, which can improve overall performance. Option A. Tuning of system software to optimize resource usage is also important, but it's not enough to just tune the software if you don't have an understanding of how the resources are being utilized. Option B. Operations report of user dissatisfaction with response time can be useful in identifying specific issues that users are experiencing, but it doesn't provide a comprehensive view of overall performance. Option D. Report of off-peak utilization and response time is important to understand how the system behaves during non-peak hours, but it does not give a complete picture of the system performance.

C. Statistical metrics measuring capacity utilization. Statistical metrics measuring capacity utilization provide quantitative data on how effectively the computer system's resources are being utilized. These metrics can include CPU utilization, memory usage, disk I/O rates, network bandwidth, and other relevant parameters. By analyzing these metrics, you can identify potential bottlenecks, assess resource allocation, and determine if the system is operating at optimal levels. isaca-org.blogspot.com While the other options may also provide valuable insights, statistical metrics measuring capacity utilization are more directly related to analyzing overall system performance and resource efficiency. They provide objective data that allows for informed decision-making and optimization efforts.

Statistical metrics provide a quantifiable measure of capacity utilization which is critical for analyzing computer performance​​.

C. Statistical metrics provide a quantifiable measure of capacity utilization which is critical for analyzing computer performance​​.

The correct answer is C. Statistical metrics measuring capacity utilization. Statistical metrics, such as: - CPU utilization - Memory usage - Disk I/O rates - Network bandwidth usage provide quantitative data to analyze computer performance. These metrics help identify: - Resource bottlenecks - Capacity constraints - Trends in usage patterns - Potential optimization opportunities

C. Statistical metrics measuring capacity utilization. Statistical metrics measuring capacity utilization provide quantitative data on how effectively the computer system's resources are being utilized. These metrics can include CPU utilization, memory usage, disk I/O rates, network bandwidth, and other relevant parameters. By analyzing these metrics, you can identify potential bottlenecks, assess resource allocation, and determine if the system is operating at optimal levels. While the other options may also provide valuable insights, statistical metrics measuring capacity utilization are more directly related to analyzing overall system performance and resource efficiency. They provide objective data that allows for informed decision-making and optimization efforts.

Answer: C

Performance should be of the perspective of user satisfaction

The answer should be B.

C. Statistical metrics

This will be C; Capacity management involve with system resource.

I think this question was also in the CISA Manual.

C is the correct answer B is a subjective answer and therefor not as accurate

Its C.

When analyzing computer performance, the most useful option would likely be C. Statistical metrics measuring capacity utilization. These metrics provide valuable insights into how resources are being utilized and can help identify potential bottlenecks or areas of inefficiency. By monitoring capacity utilization, one can make informed decisions about resource allocation, scalability, and system optimization. Tuning system software (option A) can also be beneficial, but having statistical metrics to guide the tuning process would provide more accurate and objective information. Option B, the operations report of user dissatisfaction, provides subjective feedback but may not necessarily pinpoint the underlying performance issues. Option D, the report of off-peak utilization and response time, is useful for identifying patterns and trends but may not capture the overall performance picture.

C. Statistical metrics measuring capacity utilization would be MOST useful when analyzing computer performance. Capacity utilization metrics help to identify if computer systems are being over or underutilized, which can be a significant factor in performance issues. Tuning of system software to optimize resource usage can also be helpful, but it is a more specific solution rather than a general tool for analysis. Operations reports of user dissatisfaction with response time and reports of off-peak utilization and response time can also provide valuable information, but they are more focused on the user experience rather than analyzing performance.

C. Statistical metrics measuring capacity utilization would be MOST useful when analyzing computer performance. Capacity utilization is a statistical measure that reflects the extent to which the resources of a system, such as memory, processor, or disk space, are being used. It can help identify trends and patterns in the usage of system resources over time and can be used to determine whether the system is being used to its full potential or is overloaded.