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SPLK-4001 Valid Test Book - SPLK-4001 Latest Test Online

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SPLK-4001 Valid Test Book - SPLK-4001 Latest Test Online

Posted at yesterday 15:58      View：5 | Replies：0        Print      Only Author   [Copy Link] 1#
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Splunk O11y Cloud Certified Metrics User Sample Questions (Q56-Q61):NEW QUESTION # 56
Which of the following are accurate reasons to clone a detector? (select all that apply)
  • A. To reduce the amount of billed TAPM for the detector.
  • B. To add an additional recipient to the detector's alerts.
  • C. To explore how a detector was created without risk of changing it.
  • D. To modify the rules without affecting the existing detector.
Answer: C,D
Explanation:
The correct answers are A and D.
According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the alerting concepts that is covered in the exam is detectors and alerts. Detectors are the objects that define the conditions for generating alerts, and alerts are the notifications that are sent when those conditions are met.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Alerting with Detectors, which covers how to create, modify, and manage detectors and alerts.
In the Alerting with Detectors course, there is a section on Cloning Detectors, which explains that cloning a detector creates a copy of the detector with all its settings, rules, and alert recipients. The document also provides some reasons why you might want to clone a detector, such as:
To modify the rules without affecting the existing detector. This can be useful if you want to test different thresholds or conditions before applying them to the original detector.
To explore how a detector was created without risk of changing it. This can be helpful if you want to learn from an existing detector or use it as a template for creating a new one.
Therefore, based on these documents, we can conclude that A and D are accurate reasons to clone a detector. B and C are not valid reasons because:
Cloning a detector does not reduce the amount of billed TAPM for the detector. TAPM stands for Tracked Active Problem Metric, which is a metric that has been alerted on by a detector. Cloning a detector does not change the number of TAPM that are generated by the original detector or the clone.
Cloning a detector does not add an additional recipient to the detector's alerts. Cloning a detector copies the alert recipients from the original detector, but it does not add any new ones. To add an additional recipient to a detector's alerts, you need to edit the alert settings of the detector.

NEW QUESTION # 57
A customer has a large population of servers. They want to identify the servers where utilization has increased the most since last week. Which analytics function is needed to achieve this?
  • A. Rate
  • B. Standard deviation
  • C. Tlmeshift
  • D. Sum transformation
Answer: C
Explanation:
The correct answer is C. Timeshift.
According to the Splunk Observability Cloud documentation1, timeshift is an analytic function that allows you to compare the current value of a metric with its value at a previous time interval, such as an hour ago or a week ago. You can use the timeshift function to measure the change in a metric over time and identify trends, anomalies, or patterns. For example, to identify the servers where utilization has increased the most since last week, you can use the following SignalFlow code:
timeshift(1w, counters("server.utilization"))
This will return the value of the server.utilization counter metric for each server one week ago. You can then subtract this value from the current value of the same metric to get the difference in utilization. You can also use a chart to visualize the results and sort them by the highest difference in utilization.

NEW QUESTION # 58
Which of the following rollups will display the time delta between a datapoint being sent and a datapoint being received?
  • A. Delay
  • B. Jitter
  • C. Lag
  • D. Latency
Answer: C
Explanation:
According to the Splunk Observability Cloud documentation1, lag is a rollup function that returns the difference between the most recent and the previous data point values seen in the metric time series reporting interval. This can be used to measure the time delta between a data point being sent and a data point being received, as long as the data points have timestamps that reflect their send and receive times. For example, if a data point is sent at 10:00:00 and received at 10:00:05, the lag value for that data point is 5 seconds.

NEW QUESTION # 59
Changes to which type of metadata result in a new metric time series?
  • A. Properties
  • B. Dimensions
  • C. Sources
  • D. Tags
Answer: B
Explanation:
Explanation
The correct answer is A. Dimensions.
Dimensions are metadata in the form of key-value pairs that are sent along with the metrics at the time of ingest. They provide additional information about the metric, such as the name of the host that sent the metric, or the location of the server. Along with the metric name, they uniquely identify a metric time series (MTS)1 Changes to dimensions result in a new MTS, because they create a different combination of metric name and dimensions. For example, if you change the hostname dimension from host1 to host2, you will create a new MTS for the same metric name1 Properties, sources, and tags are other types of metadata that can be applied to existing MTSes after ingest.
They do not contribute to uniquely identify an MTS, and they do not create a new MTS when changed2 To learn more about how to use metadata in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observab ... ics.html#Dimensions 2:
https://docs.splunk.com/Observab ... dimensions-mts.html

NEW QUESTION # 60
Which of the following are supported rollup functions in Splunk Observability Cloud?
  • A. std_dev, mean, median, mode, min, max
  • B. sigma, epsilon, pi, omega, beta, tau
  • C. average, latest, lag, min, max, sum, rate
  • D. 1min, 5min, 10min, 15min, 30min
Answer: C
Explanation:
According to the Splunk O11y Cloud Certified Metrics User Track document1, Observability Cloud has the following rollup functions: Sum: (default for counter metrics): Returns the sum of all data points in the MTS reporting interval. Average (default for gauge metrics): Returns the average value of all data points in the MTS reporting interval. Min: Returns the minimum data point value seen in the MTS reporting interval. Max: Returns the maximum data point value seen in the MTS reporting interval. Latest: Returns the most recent data point value seen in the MTS reporting interval. Lag: Returns the difference between the most recent and the previous data point values seen in the MTS reporting interval. Rate: Returns the rate of change of data points in the MTS reporting interval. Therefore, option A is correct.

NEW QUESTION # 61
......
The third format is desktop SPLK-4001 practice exam software that can be accessed easily after installing it on your Windows PC or Laptop. These formats are there so that the students can use them as per their unique needs and prepare successfully for SPLK-4001 the on first try. The SPLK-4001 mock tests are specially built for you to evaluate what you have studied. These Splunk O11y Cloud Certified Metrics User (SPLK-4001) practice exams (desktop and web-based) are customizable, which means that you can change the time and questions according to your needs. Our SPLK-4001 practice tests teach you time management so you can pass the Splunk O11y Cloud Certified Metrics User (SPLK-4001) certification exam.
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