Which method allows customers to send high-resolution metrics to Datadog?

The ability to send high-resolution metrics to Datadog can be accomplished through multiple methods, which makes the selection of "All options are correct" the appropriate choice. Each of the listed methods has its own strengths that contribute to the overall functionality of Datadog in handling high-resolution metrics.

Using StatsD is a traditional approach for sending metric data, where metrics are aggregated before being sent to Datadog. While it may have limitations on high-resolution capabilities compared to other methods, it remains a viable option for certain use cases.

DogStatsD builds upon StatsD by adding support for tagging, which enhances metrics with additional context, thus allowing more granular data tracking. Furthermore, DogStatsD is optimized for high-performance environments and can efficiently manage high-resolution metrics.

Lastly, API calls provide a direct way to send data to Datadog, enabling users to push high-resolution metrics without any intermediary layers, thus allowing for flexibility in how data is integrated into the Datadog platform.

Combining all these methods, users have various ways to send high-resolution metrics, which validates the correctness of stating that all options are valid in achieving that goal.