SPLK-4001 Test Score Report | Exam SPLK-4001 Actual Tests

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The Splunk SPLK-4001 Exam covers a range of topics related to metrics monitoring, including data ingestion, visualization, analysis, and troubleshooting. It also includes questions on best practices for configuring and optimizing Splunk for cloud-based environments. To pass the exam, candidates must demonstrate a deep understanding of these topics and be able to apply their knowledge to real-world scenarios.

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q80-Q85):

NEW QUESTION # 80
Which of the following is optional, but highly recommended to include in a datapoint?

A. Metric type
B. Timestamp
C. Value
D. Metric name

Answer: A

Explanation:
A metric type is an optional, but highly recommended field that specifies the kind of measurement that a datapoint represents. For example, a metric type can be gauge, counter, cumulative counter, or histogram. A metric type helps Splunk Observability Cloud to interpret and display the data correctly.

NEW QUESTION # 81
To refine a search for a metric a customer types host: test-*. What does this filter return?

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

Answer: C

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 # 82
Which of the following rollups will display the time delta between a datapoint being sent and a datapoint being received?

A. Lag
B. Jitter
C. Delay
D. Latency

Answer: A

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 # 83
What approach can be used to effectively monitor cyclic metrics with unpredictable periods?

A. Adjust the detector's threshold dynamically based on cyclic fluctuations
B. Apply moving averages with different window sizes
C. Implement custom anomaly detection algorithms to handle cyclic variations
D. Use LAG and LEAD analytic functions to identify cyclic patterns

Answer: C

NEW QUESTION # 84
What is the purpose of muting rules in Splunk Observability Cloud?

A. To temporarily suppress alert notifications for a detector, such as during planned maintenance
B. To permanently delete a detector
C. To archive old dashboards
D. To change the resolution of a metric

Answer: A

Explanation:
Muting rules allow users to temporarily suppress notifications from a detector, which is useful during planned maintenance windows or known issues, without disabling or deleting the detector itself.

NEW QUESTION # 85
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