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Splunk SPLK-4001 Exam Overview:

Certification Vendor:	Splunk
Exam Name:	Splunk O11y Cloud Certified Metrics User
Exam Number:	SPLK-4001
Exam Duration:	60 minutes
Related Certifications:	Splunk O11y Cloud Certified Metrics User
Available Languages:	English
Real Exam Qty:	54
Sample Questions:	Splunk SPLK-4001 Sample Questions
Pre Condition:	No prerequisite exams for this certification.
Official Syllabus URL:	https://www.splunk.com/en_us/training/certification-track/splunk-o11y-cloud-certified-metrics-user.html

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Splunk SPLK-4001 exam is designed to test the knowledge and skills of professionals who work with Splunk's Observability Cloud platform. SPLK-4001 exam is designed to validate the expertise of individuals who are responsible for monitoring and analyzing metrics and data in the cloud. SPLK-4001 Exam is ideal for professionals who are looking to demonstrate their proficiency in using Splunk's Observability Cloud to collect, monitor, and analyze data.

Splunk O11y Cloud Certified Metrics User Sample Questions (Q40-Q45):

NEW QUESTION # 40
What is the finest resolution that Calendar Window Transformation datapoints can be calculated and displayed?

A. 1 second resolution
B. The native resolution of the input time series
C. 1 hour resolution
D. The coarsest resolution of any signal on the chart

Answer: B

Explanation:
Calendar Window Transformation datapoints are calculated and displayed at the native resolution of the input time series, ensuring that the aggregation respects the original granularity of the metric data.

NEW QUESTION # 41
Which types of rollups are calculated at ingest?

A. sum, count, min, max, latest, lag
B. sum, count, min, 50pct, max, latest, lag
C. sum, count, min, mean, max, latest, lag
D. sum, count, min, max, first, lag

Answer: A

Explanation:
Splunk Observability Cloud calculates ingest rollups such as sum, count, min, max, latest, and lag so metric data can be efficiently summarized and retrieved at different resolutions.

NEW QUESTION # 42
Which of the following is a valid use case for Service Level Objectives (SLOs) in Splunk Observability Cloud?

A. Creating new dashboards automatically
B. Storing raw log data
C. Tracking CPU temperature of a single host
D. Measuring and alerting on whether a service meets a defined reliability target over time

Answer: D

Explanation:
SLOs are used to define, measure, and track whether a service is meeting agreed-upon reliability or performance targets over a rolling time window, and can trigger alerts when error budgets are at risk.

NEW QUESTION # 43
Which of the following is optional, but highly recommended to include in a datapoint?

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

Answer: B

Explanation:
The correct answer is D. Metric type.
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 correctly1 To learn more about how to send metrics to Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/metrics/metrics.html#Metric-types 2: https://docs.splunk.com/Observability/gdi/metrics/metrics.html

NEW QUESTION # 44
Which analytic function can be used to discover peak page visits for a site over the last day?

A. Lag: (24h)
B. Maximum: Aggregation (Id)
C. Count: (Id)
D. Maximum: Transformation (24h)

Answer: D

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 # 45
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