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Splunk SPLK-4001 Exam is a certification exam designed for individuals who want to prove their expertise in working with Splunk's Observability Cloud platform. SPLK-4001 exam is targeted towards professionals who are responsible for monitoring and analyzing metrics data within their organizations. Splunk O11y Cloud Certified Metrics User certification is an excellent way for individuals to demonstrate their skills and knowledge in using Splunk to monitor and troubleshoot complex systems.

Splunk SPLK-4001 certification exam covers a wide range of topics, including the basics of metrics data, the use of Splunk to collect and analyze metrics data, and the use of advanced features and tools to monitor and troubleshoot metrics data. Candidates who successfully pass this certification exam will be able to demonstrate their ability to use Splunk to monitor and analyze metrics data in a cloud environment, and will be recognized as experts in their field. Splunk O11y Cloud Certified Metrics User certification is highly sought after by employers in the IT industry, and is a valuable asset for IT professionals looking to advance their careers.

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q44-Q49):

NEW QUESTION # 44
Which of the following are accurate reasons to clone a detector? (select all that apply)

A. To add an additional recipient to the detector's alerts.
B. To explore how a detector was created without risk of changing it.
C. To reduce the amount of billed TAPM for the detector.
D. To modify the rules without affecting the existing detector.

Answer: B,D

Explanation:
The correct answers are A and D.
According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the alerting concepts that is covered in the exam is detectors and alerts. Detectors are the objects that define the conditions for generating alerts, and alerts are the notifications that are sent when those conditions are met.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Alerting with Detectors, which covers how to create, modify, and manage detectors and alerts.
In the Alerting with Detectors course, there is a section on Cloning Detectors, which explains that cloning a detector creates a copy of the detector with all its settings, rules, and alert recipients. The document also provides some reasons why you might want to clone a detector, such as:
To modify the rules without affecting the existing detector. This can be useful if you want to test different thresholds or conditions before applying them to the original detector.
To explore how a detector was created without risk of changing it. This can be helpful if you want to learn from an existing detector or use it as a template for creating a new one.
Therefore, based on these documents, we can conclude that A and D are accurate reasons to clone a detector. B and C are not valid reasons because:
Cloning a detector does not reduce the amount of billed TAPM for the detector. TAPM stands for Tracked Active Problem Metric, which is a metric that has been alerted on by a detector. Cloning a detector does not change the number of TAPM that are generated by the original detector or the clone.
Cloning a detector does not add an additional recipient to the detector's alerts. Cloning a detector copies the alert recipients from the original detector, but it does not add any new ones. To add an additional recipient to a detector's alerts, you need to edit the alert settings of the detector.

NEW QUESTION # 45
Which of the following aggregate analytic functions will allow a user to see the highest or lowest n values of a metric?

A. Best/Worst
B. Exclude / Include
C. Maximum / Minimum
D. Top / Bottom

Answer: D

Explanation:
The correct answer is D. Top / Bottom.
Top and bottom are aggregate analytic functions that allow a user to see the highest or lowest n values of a metric. They can be used to select a subset of the time series in the plot by count or by percent. For example, top (5) will show the five time series with the highest values in each time period, while bottom (10%) will show the 10% of time series with the lowest values in each time period1 To learn more about how to use top and bottom functions in Splunk Observability Cloud, you can refer to this documentation1.

NEW QUESTION # 46
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:
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 # 47
A user wants to add a link to an existing dashboard from an alert. When they click the dimension value in the alert message, they are taken to the dashboard keeping the context. How can this be accomplished? (select all that apply)

A. Add a link to the field.
B. Add a link to the Runbook URL.
C. Build a global data link.
D. Add the link to the alert message body.

Answer: A,C

Explanation:
Explanation
The possible ways to add a link to an existing dashboard from an alert are:
Build a global data link. A global data link is a feature that allows you to create a link from any dimension value in any chart or table to a dashboard of your choice. You can specify the source and target dashboards, the dimension name and value, and the query parameters to pass along. When you click on the dimension value in the alert message, you will be taken to the dashboard with the context preserved1 Add a link to the field. A field link is a feature that allows you to create a link from any field value in any search result or alert message to a dashboard of your choice. You can specify the field name and value, the dashboard name and ID, and the query parameters to pass along. When you click on the field value in the alert message, you will be taken to the dashboard with the context preserved2 Therefore, the correct answer is A and C.
To learn more about how to use global data links and field links in Splunk Observability Cloud, you can refer to these documentations12.
1: https://docs.splunk.com/Observability/gdi/metrics/charts.html#Global-data-links 2:
https://docs.splunk.com/Observability/gdi/metrics/search.html#Field-links

NEW QUESTION # 48
The built-in Kubernetes Navigator includes which of the following?

A. Map, Nodes, Workloads, Node Detail, Workload Detail, Group Detail, Container Detail
B. Map, Nodes, Workloads, Node Detail, Workload Detail, Pod Detail, Container Detail
C. Map, Nodes, Processors, Node Detail, Workload Detail, Pod Detail, Container Detail
D. Map, Clusters, Workloads, Node Detail, Workload Detail, Pod Detail, Container Detail

Answer: B

Explanation:
The correct answer is D. Map, Nodes, Workloads, Node Detail, Workload Detail, Pod Detail, Container Detail.
The built-in Kubernetes Navigator is a feature of Splunk Observability Cloud that provides a comprehensive and intuitive way to monitor the performance and health of Kubernetes environments. It includes the following views:
Map: A graphical representation of the Kubernetes cluster topology, showing the relationships and dependencies among nodes, pods, containers, and services. You can use the map to quickly identify and troubleshoot issues in your cluster1 Nodes: A tabular view of all the nodes in your cluster, showing key metrics such as CPU utilization, memory usage, disk usage, and network traffic. You can use the nodes view to compare and analyze the performance of different nodes1 Workloads: A tabular view of all the workloads in your cluster, showing key metrics such as CPU utilization, memory usage, network traffic, and error rate. You can use the workloads view to compare and analyze the performance of different workloads, such as deployments, stateful sets, daemon sets, or jobs1 Node Detail: A detailed view of a specific node in your cluster, showing key metrics and charts for CPU utilization, memory usage, disk usage, network traffic, and pod count. You can also see the list of pods running on the node and their status. You can use the node detail view to drill down into the performance of a single node2 Workload Detail: A detailed view of a specific workload in your cluster, showing key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and pod count. You can also see the list of pods belonging to the workload and their status. You can use the workload detail view to drill down into the performance of a single workload2 Pod Detail: A detailed view of a specific pod in your cluster, showing key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and container count. You can also see the list of containers within the pod and their status. You can use the pod detail view to drill down into the performance of a single pod2 Container Detail: A detailed view of a specific container in your cluster, showing key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and log events. You can use the container detail view to drill down into the performance of a single container2 To learn more about how to use Kubernetes Navigator in Splunk Observability Cloud, you can refer to this documentation3.
1: https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html#Kubernetes-Navigator 2: https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html#Detail-pages 3: https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html

NEW QUESTION # 49
......

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Jack Scott Jack Scott

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