Recommended Monitoring Threshold for Memory

A.

As a language model, I don't have access to specific recommendations or guidelines from Cloud Center platform for monitoring memory thresholds. However, I can provide some general guidance on monitoring memory in cloud-based systems.

Monitoring memory usage is important to ensure that the system has enough resources to operate efficiently and effectively. If memory usage becomes too high, it can lead to performance issues, crashes, or even system failures. As such, monitoring memory usage and setting thresholds for alerts is a common practice in many cloud-based systems.

The recommended monitoring threshold for memory usage will depend on various factors, such as the specific application and workload, available resources, and performance requirements. Generally, it is recommended to set the threshold at a level that allows the system to operate efficiently without running out of memory. A common approach is to set the threshold at a level where there is enough free memory to accommodate sudden spikes in usage, but not too much that it is wasted.

Based on the answer choices provided, it is possible that the Cloud Center platform recommends setting the monitoring threshold for free memory at less than 10%, 5%, 15%, 25%, or 20%. Without more context or information about the platform, it is difficult to determine which answer is correct.

However, it is important to note that there is no one-size-fits-all answer to this question as the optimal threshold will depend on the specific requirements and characteristics of the system being monitored. It is best to consult the documentation or guidelines provided by the Cloud Center platform or seek advice from experts in the field to determine the most appropriate threshold for monitoring memory usage in a specific cloud-based system.