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[Hardware] Test SPLK-4001 Questions | SPLK-4001 Valid Test Bootcamp

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【Hardware】 Test SPLK-4001 Questions | SPLK-4001 Valid Test Bootcamp

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To prepare for the SPLK-4001 exam, candidates can take advantage of a range of resources provided by Splunk. These include online courses, study guides, and practice exams. Splunk also offers instructor-led training for individuals who prefer a more structured approach to learning. By using these resources, candidates can gain the knowledge and skills they need to pass the exam and become certified as a Splunk O11y Cloud Certified Metrics User.
Splunk SPLK-4001: Splunk O11y Cloud Certified Metrics User exam is a certification exam that assesses the knowledge and skills of individuals in working with metrics data in the Splunk platform. SPLK-4001 exam is designed to validate the skills of individuals who are responsible for monitoring and analyzing metrics data in Splunk Cloud environments. Splunk O11y Cloud Certified Metrics User certification is ideal for individuals who want to demonstrate their expertise in using the Splunk platform for monitoring and analyzing metrics data.
Splunk SPLK-4001 Exam is designed to test the proficiency of individuals in the use of Splunk O11y Cloud metrics for monitoring and analyzing data. SPLK-4001 exam is intended for professionals who work with Splunk's cloud-based platform for monitoring, troubleshooting, and analyzing system performance. The SPLK-4001 exam is designed to assess the knowledge and skills of individuals in metrics, monitoring and analysis, and troubleshooting.
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Splunk O11y Cloud Certified Metrics User Sample Questions (Q18-Q23):NEW QUESTION # 18
An SRE creates an event feed chart in a dashboard that shows a list of events that meet criteria they specify. Which of the following should they include? (select all that apply)
  • A. Events created when a detector triggers an alert.
  • B. Custom events that have been sent in from an external source.
  • C. Random alerts from active detectors.
  • D. Events created when a detector clears an alert.
Answer: A,B,D
Explanation:
According to the web search results1, an event feed chart is a type of chart that shows a list of events that meet criteria you specify. An event feed chart can display one or more event types depending on how you specify the criteria. The event types that you can include in an event feed chart are:
Custom events that have been sent in from an external source: These are events that you have created or received from a third-party service or tool, such as AWS CloudWatch, GitHub, Jenkins, or PagerDuty. You can send custom events to Splunk Observability Cloud using the API or the Event Ingest Service.
Events created when a detector triggers or clears an alert: These are events that are automatically generated by Splunk Observability Cloud when a detector evaluates a metric or dimension and finds that it meets the alert condition or returns to normal. You can create detectors to monitor and alert on various metrics and dimensions using the UI or the API.
Therefore, option A, B, and D are correct.

NEW QUESTION # 19
A Software Engineer is troubleshooting an issue with memory utilization in their application. They released a new canary version to production and now want to determine if the average memory usage is lower for requests with the 'canary' version dimension. They've already opened the graph of memory utilization for their service.
How does the engineer see if the new release lowered average memory utilization?
  • A. On the chart for plot A, select Add Analytics, then select MeanrTransformation. In the window that appears, select 'version' from the Group By field.
  • B. On the chart for plot A, scroll to the end and click Enter Function, then enter 'A/B-l'.
  • C. On the chart for plot A, select Add Analytics, then select Mean:Aggregation. In the window that appears, select 'version' from the Group By field.
  • D. On the chart for plot A, click the Compare Means button. In the window that appears, type 'version1.
Answer: C
Explanation:
Explanation
The correct answer is C. On the chart for plot A, select Add Analytics, then select Mean:Aggregation. In the window that appears, select 'version' from the Group By field.
This will create a new plot B that shows the average memory utilization for each version of the application.
The engineer can then compare the values of plot B for the 'canary' and 'stable' versions to see if there is a significant difference.
To learn more about how to use analytics functions in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/Observability/gdi/metrics/analytics.html

NEW QUESTION # 20
Which analytic function can be used to discover peak page visits for a site over the last day?
  • A. Maximum: Transformation (24h)
  • B. Maximum: Aggregation (Id)
  • C. Lag: (24h)
  • D. Count: (Id)
Answer: A
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 # 21
Given that the metric demo. trans. count is being sent at a 10 second native resolution, which of the following is an accurate description of the data markers displayed in the chart below?

  • A. Each data marker represents the sum of API calls in the hour leading up to the data marker.
  • B. Each data marker represents the average hourly rate of API calls.
  • C. Each data marker represents the average of the sum of datapoints over the last minute, averaged over the hour.
  • D. Each data marker represents the 10 second delta between counter values.
Answer: A
Explanation:
The correct answer is D. Each data marker represents the sum of API calls in the hour leading up to the data marker.
The metric demo.trans.count is a cumulative counter metric, which means that it represents the total number of API calls since the start of the measurement. A cumulative counter metric can be used to measure the rate of change or the sum of events over a time period1 The chart below shows the metric demo.trans.count with a one-hour rollup and a line chart type. A rollup is a way to aggregate data points over a specified time interval, such as one hour, to reduce the number of data points displayed on a chart. A line chart type connects the data points with a line to show the trend of the metric over time2 Each data marker on the chart represents the sum of API calls in the hour leading up to the data marker. This is because the rollup function for cumulative counter metrics is sum by default, which means that it adds up all the data points in each time interval. For example, the data marker at 10:00 AM shows the sum of API calls from 9:00 AM to 10:00 AM3 To learn more about how to use metrics and charts in Splunk Observability Cloud, you can refer to these documentations123.
1: https://docs.splunk.com/Observab ... s.html#Metric-types 2: https://docs.splunk.com/Observab ... d-rollups-in-charts 3: https://docs.splunk.com/Observab ... ns-for-metric-types

NEW QUESTION # 22
Which of the following aggregate analytic functions will allow a user to see the highest or lowest n values of a metric?
  • A. Top / Bottom
  • B. Exclude / Include
  • C. Best/Worst
  • D. Maximum / Minimum
Answer: A
Explanation:
The correct answer is D. Top / Bottom.
Top and bottom are aggregate analytic functions that allow a user to see the highest or lowest n values of a metric. They can be used to select a subset of the time series in the plot by count or by percent. For example, top (5) will show the five time series with the highest values in each time period, while bottom (10%) will show the 10% of time series with the lowest values in each time period1 To learn more about how to use top and bottom functions in Splunk Observability Cloud, you can refer to this documentation1.

NEW QUESTION # 23
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