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Free SPLK-4001 Learning Cram - VCE SPLK-4001 Exam Simulator

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Splunk SPLK-4001 (Splunk O11y Cloud Certified Metrics User) Certification Exam is a comprehensive certification exam that focuses on validating the skills and knowledge of candidates in using Splunk to collect, analyze, and monitor metrics data in a cloud environment. Splunk O11y Cloud Certified Metrics User certification exam is designed for IT professionals who work with Splunk in a cloud environment and who are responsible for managing and monitoring metrics data to ensure the optimal performance of their organization's IT infrastructure.

Splunk SPLK-4001 Exam is designed to test the knowledge and skills of professionals who want to demonstrate their expertise in using Splunk for cloud-based monitoring and observability. SPLK-4001 exam is part of the Splunk O11y certification program, which focuses on helping individuals and organizations deploy, manage, and optimize their IT infrastructure through the use of Splunk.

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q14-Q19):

NEW QUESTION # 14
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. Tlmeshift
D. Sum transformation

Answer: C

Explanation:
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 # 15
Which of the following are ways to reduce flapping of a detector? (select all that apply)

A. Configure a duration or percent of duration for the alert.
B. Enable the anti-flap setting in the detector options menu.
C. Apply a smoothing transformation (like a rolling mean) to the input data for the detector.
D. Establish a reset threshold for the detector.

Answer: A,C

Explanation:
According to the Splunk Lantern article Resolving flapping detectors in Splunk Infrastructure Monitoring, flapping is a phenomenon where alerts fire and clear repeatedly in a short period of time, due to the signal fluctuating around the threshold value. To reduce flapping, the article suggests the following ways:
Configure a duration or percent of duration for the alert: This means that you require the signal to stay above or below the threshold for a certain amount of time or percentage of time before triggering an alert. This can help filter out noise and focus on more persistent issues.
Apply a smoothing transformation (like a rolling mean) to the input data for the detector: This means that you replace the original signal with the average of its last several values, where you can specify the window length. This can reduce the impact of a single extreme observation and make the signal less fluctuating.

NEW QUESTION # 16
To refine a search for a metric a customer types host: test-*. What does this filter return?

A. Error
B. Every metric except those with a dimension of host and a value equal to test.
C. Only metrics with a value of test- beginning with host.
D. Only metrics with a dimension of host and a value beginning with test-.

Answer: D

Explanation:
Explanation
The correct answer is A. Only metrics with a dimension of host and a value beginning with test-.
This filter returns the metrics that have a host dimension that matches the pattern test-. For example, test-01, test-abc, test-xyz, etc. The asterisk () is a wildcard character that can match any string of characters1 To learn more about how to filter metrics in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/metrics/search.html#Filter-metrics 2:
https://docs.splunk.com/Observability/gdi/metrics/search.html

NEW QUESTION # 17
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:
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 # 18
Which of the following are supported rollup functions in Splunk Observability Cloud?

A. 1min, 5min, 10min, 15min, 30min
B. sigma, epsilon, pi, omega, beta, tau
C. average, latest, lag, min, max, sum, rate
D. std_dev, mean, median, mode, min, max

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 # 19
......

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