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Splunk SPLK-4001 exam is an excellent certification for individuals who want to demonstrate their knowledge and skills in the areas of cloud-based metrics and monitoring. It is an excellent way to demonstrate your expertise in this field and to increase your career prospects in the IT industry.

Achieving the SPLK-4001 certification demonstrates that an individual has a thorough understanding of Splunk's Observability Cloud and is capable of using it to monitor and analyze data effectively. Splunk O11y Cloud Certified Metrics User certification is recognized by employers and can help professionals advance their careers. Additionally, SPLK-4001 Certification holders are eligible to join the Splunk Trust, a community of top-performing Splunk professionals.

To take the SPLK-4001 exam, candidates must have a solid understanding of Splunk’s observability suite, as well as experience in monitoring cloud applications and infrastructure. SPLK-4001 exam consists of 60 multiple-choice questions, and candidates have 90 minutes to complete it. The passing score for the exam is 70%, and candidates who pass the exam will receive the Splunk O11y Cloud Certified Metrics User certification.

Splunk O11y Cloud Certified Metrics User Sample Questions (Q35-Q40):

NEW QUESTION # 35
Which of the following statements about adding properties to MTS are true? (select all that apply)

A. Properties are applied to dimension key:value pairs and propagated to all MTS with that dimension
B. Properties can be set in the UI under Metric Metadata.
C. Properties can be set via the API.
D. Properties are sent in with datapoints.

Answer: B,C

Explanation:
According to the web search results, properties are key-value pairs that you can assign to dimensions of existing metric time series (MTS) in Splunk Observability Cloud1. Properties provide additional context and information about the metrics, such as the environment, role, or owner of the dimension. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host that is sending the data is used for QA.
To add properties to MTS, you can use either the API or the UI. The API allows you to programmatically create, update, delete, and list properties for dimensions using HTTP requests2. The UI allows you to interactively create, edit, and delete properties for dimensions using the Metric Metadata page under Settings3. Therefore, option A and D are correct.

NEW QUESTION # 36
For which types of charts can individual plot visualization be set?

A. Line, Bar, Column
B. Line, Area, Column
C. Bar, Area, Column
D. Histogram, Line, Column

Answer: B

Explanation:
The correct answer is C. Line, Area, Column.
For line, area, and column charts, you can set the individual plot visualization to change the appearance of each plot in the chart. For example, you can change the color, shape, size, or style of the lines, areas, or columns. You can also change the rollup function, data resolution, or y-axis scale for each plot1 To set the individual plot visualization for line, area, and column charts, you need to select the chart from the Metric Finder, then click on Plot Chart Options and choose Individual Plot Visualization from the list of options. You can then customize each plot according to your preferences2 To learn more about how to use individual plot visualization in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Individual-plot-visualization 2: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Set-individual-plot-visualization

NEW QUESTION # 37
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 average hourly rate of API calls.
B. Each data marker represents the 10 second delta between counter values.
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 sum of API calls in the hour leading up to the data marker.

Answer: D

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/Observability/gdi/metrics/metrics.html#Metric-types 2: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Data-resolution-and-rollups-in-charts 3: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Rollup-functions-for-metric-types

NEW QUESTION # 38
Which of the following rollups will display the time delta between a datapoint being sent and a datapoint being received?

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

Answer: D

Explanation:
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 # 39
What information is needed to create a detector?

A. Alert Status, Alert Criteria, Alert Settings, Alert Message, Alert Recipients
B. Alert Signal, Alert Criteria, Alert Settings, Alert Message, Alert Recipients
C. Alert Status, Alert Condition, Alert Settings, Alert Meaning, Alert Recipients
D. Alert Signal, Alert Condition, Alert Settings, Alert Message, Alert Recipients

Answer: D

Explanation:
According to the Splunk Observability Cloud documentation1, to create a detector, you need the following information:
Alert Signal: This is the metric or dimension that you want to monitor and alert on. You can select a signal from a chart or a dashboard, or enter a SignalFlow query to define the signal.
Alert Condition: This is the criteria that determines when an alert is triggered or cleared. You can choose from various built-in alert conditions, such as static threshold, dynamic threshold, outlier, missing data, and so on. You can also specify the severity level and the trigger sensitivity for each alert condition.
Alert Settings: This is the configuration that determines how the detector behaves and interacts with other detectors. You can set the detector name, description, resolution, run lag, max delay, and detector rules. You can also enable or disable the detector, and mute or unmute the alerts.
Alert Message: This is the text that appears in the alert notification and event feed. You can customize the alert message with variables, such as signal name, value, condition, severity, and so on. You can also use markdown formatting to enhance the message appearance.
Alert Recipients: This is the list of destinations where you want to send the alert notifications. You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on. You can also specify the notification frequency and suppression settings.

NEW QUESTION # 40
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