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| Section | Weight | Objectives |
|---|---|---|
| Create Efficient Dashboards and Alerts | 10% | - Create single-instance dashboard panels - Configure personal information linkages - View dashboard happenings - Include instructions on interfaces |
| Get Metrics In with OpenTelemetry | 10% | - Configure the OTel Collector - Edit the configuration - Deploy the OTel Collector on Linux - General OpenTelemetry Concepts - Troubleshooting common errors |
| Intro to Alerting on Metrics using Detectors | 10% | - Make a solo detector - Make a muting rule - Make the detector from a chart - Clone an existing detector |
| Metrics Concepts | 15% | - List the components of a datapoint - Discriminate between types of metadata - Data resolution, rollups - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints |
| Introduction to Metric Visualization | 15% | - Look for metrics - Create widgets and showcase groups - Differentiate between several chart visualization types - Use rollups and analytical tools correctly - Create charts and dashboards - Analyze data in charts - Visualize a measure in a chart |
| Monitor Using Built-in Content | 10% | - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Subscribe to alerts - Interact with data using built-in content - Use the Cluster Analyzer to pinpoint the root of some problems |
>> Valid SPLK-4001 Test Objectives <<
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NEW QUESTION # 13
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?
Answer: A
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 # 14
How is it possible to create a dashboard group that no one else can edit?
Answer: A
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 # 15
Which of the following are required in the configuration of a data point? (select all that apply)
Answer: A,C,D
Explanation:
The required components in the configuration of a data point are:
Metric Name: A metric name is a string that identifies the type of measurement that the data point represents, such as cpu.utilization, memory.usage, or response.time. A metric name is mandatory for every data point, and it must be unique within a Splunk Observability Cloud organization.
Timestamp: A timestamp is a numerical value that indicates the time at which the data point was collected or generated. A timestamp is mandatory for every data point, and it must be in epoch time format, which is the number of seconds since January 1, 1970 UTC1 Value: A value is a numerical value that indicates the magnitude or quantity of the measurement that the data point represents. A value is mandatory for every data point, and it must be compatible with the metric type of the data point.
NEW QUESTION # 16
The Sum Aggregation option for analytic functions does which of the following?
Answer: B
Explanation:
According to the Splunk Test Blueprint - O11y Cloud Metrics User document1, one of the metrics concepts that is covered in the exam is analytic functions. Analytic functions are mathematical operations that can be applied to metrics to transform, aggregate, or analyze them.
The Splunk O11y Cloud Certified Metrics User Track document2 states that one of the recommended courses for preparing for the exam is Introduction to Splunk Infrastructure Monitoring, which covers the basics of metrics monitoring and visualization.
In the Introduction to Splunk Infrastructure Monitoring course, there is a section on Analytic Functions, which explains that analytic functions can be used to perform calculations on metrics, such as sum, average, min, max, count, etc. The document also provides examples of how to use analytic functions in charts and dashboards.
One of the analytic functions that can be used is Sum Aggregation, which calculates the sum of values present in the input time series across the entire environment or per group. The document gives an example of how to use Sum Aggregation to calculate the total CPU usage across all hosts in a group by using the following syntax:
sum(cpu.utilization) by hostgroup
NEW QUESTION # 17
What tool provides the ability to search metrics and their associated metadata within Splunk Observability Cloud?
Answer: A
Explanation:
Metric Finder is used to search for metrics and view their associated metadata in Splunk Observability Cloud, making it the appropriate tool for locating available metrics and understanding their related dimensions or properties.
NEW QUESTION # 18
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