What constitutes a single metrics time series (MTS)?

Question

Options

• AA series of timestamps that all reflect the same metric.
• BA set of data points that all have the same metric name and list of dimensions.
• CA set of data points that use different dimensions but the same metric name.
• DA set of metrics that are ordered in series based on timestamp.

• A
  2% (1)
• B
  88% (44)
• C
  4% (2)
• D
  6% (3)

Explanation

A metric time series (MTS) is a collection of data points that have the same metric and the same set of dimensions. For example, the following sets of data points are in three separate MTS: MTS1: Gauge metric cpu.utilization, dimension "hostname": "host1" MTS2: Gauge metric cpu.utilization, dimension "hostname": "host2" MTS3: Gauge metric memory.usage, dimension "hostname": "host1" A metric is a numerical measurement that varies over time, such as CPU utilization or memory usage. A dimension is a key-value pair that provides additional information about the metric, such as the hostname or the location. A data point is a combination of a metric, a dimension, a value, and a timestamp.

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