Which of the following metrics are provided by Docker containers?

The choice highlighting CPU, Memory, Traffic, and Throttling as metrics provided by Docker containers is accurate because these metrics are integral to monitoring container performance and resource utilization.

Docker containers are designed to offer an isolated environment for applications, and as such, the effective management of underlying resources is crucial. CPU metrics indicate how much processing power a container is consuming, which is essential for ensuring efficient performance and resource allocation. Memory metrics provide insight into how much RAM is being used, helping to prevent potential memory leaks and ensuring that containers do not exhaust host resources.

Traffic refers to the amount of data being transmitted to and from the container, which is essential for understanding workload patterns and application performance. Throttling, on the other hand, pertains to the regulation of resource usage, particularly CPU, when containers exceed predetermined limits, helping maintain performance stability.

Metrics like Latency and Throughput, Disk Space and Network Usage, or Error Rates and Response Times are typically associated with broader application performance and usage monitoring but are not specifically attributed to the container level metrics directly provided by Docker itself. Instead, these metrics can be derived indirectly through the context of the container's performance but are not primary metrics monitored in the same way. Thus, focusing on CPU, Memory, Traffic