Which of the following metrics can be used to monitor the status of the Datadog agent?

The choice of datadog.agent.check_status as a metric to monitor the status of the Datadog agent is particularly apt because it specifically provides insights into the functioning and health of the agent itself. This metric allows users to assess whether the agent is running correctly and collecting data as expected.

When using datadog.agent.check_status, it relays information about various checks that the agent performs, such as configuration checks and status checks of integrations. By monitoring this metric, users can quickly identify if there are any issues with the agent, making it crucial for maintaining observability and system reliability.

The other metrics mentioned, while relevant to various aspects of the agent and its performance, do not serve the specific purpose of directly indicating the operational status of the agent in the same way. For example, some of these metrics may pertain to health checks or underlying metrics reporting, but they do not encapsulate the overall check status that is vital for clear diagnostics of the Datadog agent.