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PDF Splunk SPLK-4001 Cram Exam | SPLK-4001 Reliable Test Test

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The SPLK-4001 exam covers the essential concepts, tools, and techniques required to collect, analyze, and visualize metrics data using Splunk. SPLK-4001 exam measures the individual's proficiency in areas such as configuring and managing metrics data sources, working with metrics data in Splunk, creating and configuring visualizations, and troubleshooting issues related to metrics data. Splunk is a leading observability platform, and the SPLK-4001 certification is a valuable asset for professionals who work with cloud environments.

Splunk SPLK-4001 exam is designed to validate and certify the proficiency of IT professionals in leveraging Splunk's cloud-based metric platform to deliver top-level observability to their organizations. As the trend shifts towards cloud-based infrastructure for organizations' computing needs, there is a growing demand for professionals who can help businesses achieve proper observability utilizing cloud services. The SPLK-4001 Exam is thus essential for tech professionals looking to bolster their careers and stay competitive in the dynamic technology landscape.

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q12-Q17):

NEW QUESTION # 12
A customer wants to share a collection of charts with their entire SRE organization. What feature of Splunk Observability Cloud makes this possible?

A. Dashboard groups
B. Shared charts
C. Public dashboards
D. Chart exporter

Answer: A

Explanation:
According to the web search results, dashboard groups are a feature of Splunk Observability Cloud that allows you to organize and share dashboards with other users in your organization1. You can create dashboard groups based on different criteria, such as service, team, role, or topic. You can also set permissions for each dashboard group, such as who can view, edit, or manage the dashboards in the group. Dashboard groups make it possible to share a collection of charts with your entire SRE organization, or any other group of users that you want to collaborate with.

NEW QUESTION # 13
How is it possible to create a dashboard group that no one else can edit?

A. Ask the admin to lock the dashboard group.
B. Restrict the write access on the dashboard group.
C. Link the dashboard group to the team.
D. Hide the edit menu on the dashboard group.

Answer: B

Explanation:
Explanation
According to the web search results, dashboard groups are a feature of Splunk Observability Cloud that allows you to organize and share dashboards with other users in your organization1. You can set permissions for each dashboard group, such as who can view, edit, or manage the dashboards in the group1. To create a dashboard group that no one else can edit, you need to do the following steps:
Create a dashboard group as usual, by selecting Dashboard Group from the Create menu on the navigation bar, entering a name and description, and adding dashboards to the group1.
Select Alert settings from the Dashboard actions menu () on the top right corner of the dashboard group. This will open a dialog box where you can configure the permissions for the dashboard group1.
Under Write access, select Only me. This will restrict the write access to the dashboard group to yourself only. No one else will be able to edit or delete the dashboards in the group1.
Click Save. This will create a dashboard group that no one else can edit.

NEW QUESTION # 14
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 chart.
B. The new signals will be reflected in the original detector.
C. You can only monitor one of the new signals.
D. The new signals will not be added to the original detector.

Answer: D

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 # 15
When installing OpenTelemetry Collector, which error message is indicative that there is a misconfigured realm or access token?

A. 503 (SERVICE UNREACHABLE)
B. 403 (NOT ALLOWED)
C. 404 (NOT FOUND)
D. 401 (UNAUTHORIZED)

Answer: D

Explanation:
The correct answer is C. 401 (UNAUTHORIZED).
According to the web search results, a 401 (UNAUTHORIZED) error message is indicative that there is a misconfigured realm or access token when installing OpenTelemetry Collector1. A 401 (UNAUTHORIZED) error message means that the request was not authorized by the server due to invalid credentials. A realm is a parameter that specifies the scope of protection for a resource, such as a Splunk Observability Cloud endpoint. An access token is a credential that grants access to a resource, such as a Splunk Observability Cloud API. If the realm or the access token is misconfigured, the request to install OpenTelemetry Collector will be rejected by the server with a 401 (UNAUTHORIZED) error message.
Option A is incorrect because a 403 (NOT ALLOWED) error message is not indicative that there is a misconfigured realm or access token when installing OpenTelemetry Collector. A 403 (NOT ALLOWED) error message means that the request was authorized by the server but not allowed due to insufficient permissions. Option B is incorrect because a 404 (NOT FOUND) error message is not indicative that there is a misconfigured realm or access token when installing OpenTelemetry Collector. A 404 (NOT FOUND) error message means that the request was not found by the server due to an invalid URL or resource. Option D is incorrect because a 503 (SERVICE UNREACHABLE) error message is not indicative that there is a misconfigured realm or access token when installing OpenTelemetry Collector. A 503 (SERVICE UNREACHABLE) error message means that the server was unable to handle the request due to temporary overload or maintenance.

NEW QUESTION # 16
When writing a detector with a large number of MTS, such as memory. free in a deployment with 30,000 hosts, it is possible to exceed the cap of MTS that can be contained in a single plot. Which of the choices below would most likely reduce the number of MTS below the plot cap?

A. Add a restricted scope adjustment to the plot.
B. When creating the plot, add a discriminator.
C. Add a filter to narrow the scope of the measurement.
D. Select the Sharded option when creating the plot.

Answer: C

Explanation:
The correct answer is B. Add a filter to narrow the scope of the measurement.
A filter is a way to reduce the number of metric time series (MTS) that are displayed on a chart or used in a detector. A filter specifies one or more dimensions and values that the MTS must have in order to be included. For example, if you want to monitor the memory.free metric only for hosts that belong to a certain cluster, you can add a filter like cluster:my-cluster to the plot or detector. This will exclude any MTS that do not have the cluster dimension or have a different value for it1 Adding a filter can help you avoid exceeding the plot cap, which is the maximum number of MTS that can be contained in a single plot. The plot cap is 100,000 by default, but it can be changed by contacting Splunk Support2 To learn more about how to use filters in Splunk Observability Cloud, you can refer to this documentation3.
1: https://docs.splunk.com/Observability/gdi/metrics/search.html#Filter-metrics 2: https://docs.splunk.com/Observability/gdi/metrics/detectors.html#Plot-cap 3: https://docs.splunk.com/Observability/gdi/metrics/search.html

NEW QUESTION # 17
......

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