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Valid Braindumps SPLK-4001 Ebook, New SPLK-4001 Exam Topics

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Valid Braindumps SPLK-4001 Ebook, New SPLK-4001 Exam Topics

Posted at yesterday 11:59      View：8 | Replies：0        Print      Only Author   [Copy Link] 1#
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Our company has always been keeping pace with the times, so we are pushing renovation about SPLK-4001 test engine all the time to meet the different requirements of diversified production market. However it is obvious that different people have different preferences on SPLK-4001 preparation materials, thus we have three kinds of versions. If you are used to study with paper-based materials you can choose the PDF version. If you would like to get the mock test before the Real SPLK-4001 Exam you can choose the software version, if you want to study in anywhere at any time then our online APP version should be your best choice.
The SPLK-4001 certification exam is suitable for IT professionals, DevOps engineers, and data analysts who work with cloud-based metrics data. Splunk O11y Cloud Certified Metrics User certification demonstrates an individual's ability to work with Splunk's Observability Cloud and validates their knowledge and skills in this area. Additionally, the certification can help professionals advance in their career by demonstrating their expertise in cloud-based metrics analysis.
Splunk SPLK-4001 Exam is a certification exam designed for individuals who want to prove their expertise in working with Splunk's Observability Cloud platform. SPLK-4001 exam is targeted towards professionals who are responsible for monitoring and analyzing metrics data within their organizations. Splunk O11y Cloud Certified Metrics User certification is an excellent way for individuals to demonstrate their skills and knowledge in using Splunk to monitor and troubleshoot complex systems.
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Splunk O11y Cloud Certified Metrics User Sample Questions (Q12-Q17):NEW QUESTION # 12
Which of the following chart visualization types are unaffected by changing the time picker on a dashboard? (select all that apply)
  • A. Heatmap
  • B. Single Value
  • C. List
  • D. Line
Answer: B,C
Explanation:
The chart visualization types that are unaffected by changing the time picker on a dashboard are:
Single Value: A single value chart shows the current value of a metric or an expression. It does not depend on the time range of the dashboard, but only on the data resolution and rollup function of the chart1 List: A list chart shows the values of a metric or an expression for each dimension value in a table format. It does not depend on the time range of the dashboard, but only on the data resolution and rollup function of the chart2 Therefore, the correct answer is A and D.
To learn more about how to use different chart visualization types in Splunk Observability Cloud, you can refer to this documentation3.
1: https://docs.splunk.com/Observab ... s.html#Single-value 2: https://docs.splunk.com/Observab ... cs/charts.html#List 3: https://docs.splunk.com/Observability/gdi/metrics/charts.html

NEW QUESTION # 13
Which analytic function can be used to discover peak page visits for a site over the last day?
  • A. Count: (Id)
  • B. Maximum: Aggregation (Id)
  • C. Maximum: Transformation (24h)
  • D. Lag: (24h)
Answer: C
Explanation:
According to the Splunk Observability Cloud documentation1, the maximum function is an analytic function that returns the highest value of a metric or a dimension over a specified time interval. The maximum function can be used as a transformation or an aggregation. A transformation applies the function to each metric time series (MTS) individually, while an aggregation applies the function to all MTS and returns a single value. For example, to discover the peak page visits for a site over the last day, you can use the following SignalFlow code:
maximum(24h, counters("page.visits"))
This will return the highest value of the page.visits counter metric for each MTS over the last 24 hours. You can then use a chart to visualize the results and identify the peak page visits for each MTS.

NEW QUESTION # 14
Which of the following are correct ports for the specified components in the OpenTelemetry Collector?
  • A. gRPC (4317), SignalFx (9080), Fluentd (8006)
  • B. gRPC (6831), SignalFx (4317), Fluentd (9080)
  • C. gRPC (4000), SignalFx (9943), Fluentd (6060)
  • D. gRPC (4459), SignalFx (9166), Fluentd (8956)
Answer: A
Explanation:
Explanation
The correct answer is D. gRPC (4317), SignalFx (9080), Fluentd (8006).
According to the web search results, these are the default ports for the corresponding components in the OpenTelemetry Collector. You can verify this by looking at the table of exposed ports and endpoints in the first result1. You can also see the agent and gateway configuration files in the same result for more details.
1: https://docs.splunk.com/observab ... osed-endpoints.html

NEW QUESTION # 15
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. Standard deviation
  • B. Rate
  • C. Sum transformation
  • D. Tlmeshift
Answer: D
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 # 16
Which of the following are supported rollup functions in Splunk Observability Cloud?
  • A. average, latest, lag, min, max, sum, rate
  • B. std_dev, mean, median, mode, min, max
  • C. sigma, epsilon, pi, omega, beta, tau
  • D. 1min, 5min, 10min, 15min, 30min
Answer: A
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 # 17
......
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