Which of the following is NOT a data type for metrics in Datadog?

The choice of "Collection" as the answer is correct because it does not represent a standard data type for metrics in Datadog. In Datadog, metrics are typically classified into specific data types that help users accurately measure and analyze various aspects of their infrastructure and applications.

The data types that are recognized in Datadog include:

• Gauge: This data type represents a single numerical value that can arbitrarily go up and down. It’s commonly used for metrics such as temperature, number of active connections, or memory usage, where the value fluctuates over time.

• Count: A count metric is used to represent a cumulative number of occurrences of an event, such as the number of requests handled or errors logged. Counts continually increase over time and are useful for tracking discrete events or actions.

• Distribution: This type is utilized for measuring the statistical distribution of a set of values, often providing insights like averages or percentiles. It helps in analyzing a range of data points, making it easier to understand trends and variabilities in performance metrics.

In contrast, "Collection" is not a recognized metric type within Datadog's metric system. This term does not align with the operational definitions of the data types used to