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Splunk SPLK-4001 certification exam is a challenging exam that requires a thorough understanding of Splunk O11y Cloud. SPLK-4001 exam consists of multiple-choice questions that test the candidate's knowledge of Splunk O11y Cloud. Candidates are required to pass the examination by achieving a minimum passing score.

Passing the SPLK-4001 certification exam is a significant achievement for professionals looking to advance their careers in cloud infrastructure management. Certifications can help differentiate candidates in a crowded job market and demonstrate to employers that they possess the skills and knowledge needed to succeed in a particular role.

The SPLK-4001 Exam covers a range of topics, including data collection, metric creation, metric querying, alerting, and visualization. Candidates are also tested on their ability to use various tools and technologies, such as Splunk's Observability Cloud, to monitor and analyze data. SPLK-4001 exam consists of 50 multiple-choice questions and has a time limit of 90 minutes.

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q38-Q43):

NEW QUESTION # 38
Which of the following are supported rollup functions in Splunk Observability Cloud?

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

Answer: C

Explanation:
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 # 39
An SRE came across an existing detector that is a good starting point for a detector they want to create. They clone the detector, update the metric, and add multiple new signals. As a result of the cloned detector, which of the following is true?

A. The new signals will be reflected in the original detector.
B. The new signals will not be added to the original detector.
C. The new signals will be reflected in the original chart.
D. You can only monitor one of the new signals.

Answer: B

Explanation:
Explanation
According to the Splunk O11y Cloud Certified Metrics User Track document1, cloning a detector creates a copy of the detector that you can modify without affecting the original detector. You can change the metric, filter, and signal settings of the cloned detector. However, the new signals that you add to the cloned detector will not be reflected in the original detector, nor in the original chart that the detector was based on. Therefore, option D is correct.
Option A is incorrect because the new signals will not be reflected in the original detector. Option B is incorrect because the new signals will not be reflected in the original chart. Option C is incorrect because you can monitor all of the new signals that you add to the cloned detector.

NEW QUESTION # 40
Which of the following can be configured when subscribing to a built-in detector?

A. Alerts on a dashboard.
B. Alerts on team landing page.
C. Links to a chart.
D. Outbound notifications.

Answer: D

Explanation:
According to the web search results1, subscribing to a built-in detector is a way to receive alerts and notifications from Splunk Observability Cloud when certain criteria are met. A built-in detector is a detector that is automatically created and configured by Splunk Observability Cloud based on the data from your integrations, such as AWS, Kubernetes, or OpenTelemetry1. To subscribe to a built-in detector, you need to do the following steps:
Find the built-in detector that you want to subscribe to. You can use the metric finder or the dashboard groups to locate the built-in detectors that are relevant to your data sources1.
Hover over the built-in detector and click the Subscribe button. This will open a dialog box where you can configure your subscription settings1.
Choose an outbound notification channel from the drop-down menu. This is where you can specify how you want to receive the alert notifications from the built-in detector. You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on2. You can also create a new notification channel by clicking the + icon2.
Enter the notification details for the selected channel. This may include your email address, Slack channel name, PagerDuty service key, webhook URL, and so on2. You can also customize the notification message with variables and markdown formatting2.
Click Save. This will subscribe you to the built-in detector and send you alert notifications through the chosen channel when the detector triggers or clears an alert.
Therefore, option C is correct.

NEW QUESTION # 41
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. Only metrics with a dimension of host and a value beginning with test-.
C. Only metrics with a value of test- beginning with host.
D. Error

Answer: B

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 # 42
Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

A. gRPC (4000), SignalFx (9943), Fluentd (6060)
B. gRPC (6831), SignalFx (4317), Fluentd (9080)
C. gRPC (4459), SignalFx (9166), Fluentd (8956)
D. gRPC (4317), SignalFx (9080), Fluentd (8006)

Answer: D

Explanation:
The correct answer is D. gRPC (4317), SignalFx (9080), Fluentd (8006).
According to the web search results, these are the default ports for the corresponding components in the OpenTelemetry Collector. You can verify this by looking at the table of exposed ports and endpoints in the first result1. You can also see the agent and gateway configuration files in the same result for more details.
1: https://docs.splunk.com/observability/gdi/opentelemetry/exposed-endpoints.html

NEW QUESTION # 43
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