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Question 31 - SPLK-4001 discussion

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What constitutes a single metrics time series (MTS)?

A.
A series of timestamps that all reflect the same metric.
Answers
A.
A series of timestamps that all reflect the same metric.
B.
A set of data points that all have the same metric name and list of dimensions.
Answers
B.
A set of data points that all have the same metric name and list of dimensions.
C.
A set of data points that use different dimensions but the same metric name.
Answers
C.
A set of data points that use different dimensions but the same metric name.
D.
A set of metrics that are ordered in series based on timestamp.
Answers
D.
A set of metrics that are ordered in series based on timestamp.
Suggested answer: B

Explanation:

The correct answer is B. A set of data points that all have the same metric name and list of dimensions.

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 timestamp1

asked 23/09/2024
Willem Alves
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