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NEW QUESTION # 24
Which of the following are required in the configuration of a data point? (select all that apply)
Answer: A,B,D
Explanation:
The required components in the configuration of a data point are:
Metric Name: A metric name is a string that identifies the type of measurement that the data point represents, such as cpu.utilization, memory.usage, or response.time. A metric name is mandatory for every data point, and it must be unique within a Splunk Observability Cloud organization.
Timestamp: A timestamp is a numerical value that indicates the time at which the data point was collected or generated. A timestamp is mandatory for every data point, and it must be in epoch time format, which is the number of seconds since January 1, 1970 UTC1 Value: A value is a numerical value that indicates the magnitude or quantity of the measurement that the data point represents. A value is mandatory for every data point, and it must be compatible with the metric type of the data point.
NEW QUESTION # 25
A customer has created a chart that tracks cpu.utilization of a set of production servers. The customer wants to show which of their servers are under 5% utilization to track underutilization of resources. What is the best analytic function to achieve this?
Answer: B
Explanation:
The Bottom analytic function identifies the metrics with the lowest values, allowing the customer to highlight servers with CPU utilization under 5% and track underutilized resources effectively.
NEW QUESTION # 26
Which of the following is a valid use case for Service Level Objectives (SLOs) in Splunk Observability Cloud?
Answer: A
NEW QUESTION # 27
What happens when the limit of allowed dimensions is exceeded for an MTS?
Answer: C
Explanation:
According to the web search results, dimensions are metadata in the form of key-value pairs that monitoring software sends in along with the metrics. The set of metric time series (MTS) dimensions sent during ingest is used, along with the metric name, to uniquely identify an MTS1. Splunk Observability Cloud has a limit of 36 unique dimensions per MTS2. If the limit of allowed dimensions is exceeded for an MTS, the additional dimensions are dropped and not stored or indexed by Observability Cloud2. This means that the data point is still ingested, but without the extra dimensions. Therefore, option A is correct.
NEW QUESTION # 28
What constitutes a single metrics time series (MTS)?
Answer: A
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
NEW QUESTION # 29
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