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Splunk SPLK-4001 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Monitor Using Built-in Content	10%	- Observability Navigation & Monitoring 1. Cluster Analyzer troubleshooting 2. Use alerts and detectors 3. Interact with built-in dashboards and content 4. Interpret charts using rollups and analytics functions 5. Kubernetes Navigator usage
Topic 2: Metrics Concepts	15%	- Core Metrics Data Model 1. Types of metadata 2. Splunk IM data model, metrics, MTS, datapoints 3. Data resolution and rollups 4. Components of a datapoint
Topic 3: Finding Insights Using Analytics	15%	- Metrics Analytics 1. Time-based comparisons 2. Moving and calendar window analytics 3. Combining plots in charts 4. Aggregation across sources 5. Subset analysis of MTS signals 6. Ratios and percentage trends
Topic 4: Get Metrics In with OpenTelemetry	10%	- OpenTelemetry Collector Deployment 1. Configure the OTel Collector 2. Edit configuration files 3. General OpenTelemetry concepts 4. Troubleshooting common errors 5. Deploy the OTel Collector on Linux
Topic 5: Introduction to Visualizing Metrics	15%	- Metrics Visualization 1. Search and visualize metrics 2. Dashboard groups 3. Apply rollups and analytics functions 4. Create charts and dashboards 5. Visualization types
Topic 6: Create Efficient Dashboards and Alerts	10%	- Dashboard Optimization 1. Event overlays 2. Alert customization 3. Single-instance dashboards 4. Troubleshooting charts and alerts 5. Dashboard instructions 6. Data links configuration
Topic 7: Detectors for Common Use Cases	15%	- Advanced Detector Scenarios 1. Non-flapping detectors 2. Troubleshoot detectors 3. Cyclic pattern monitoring 4. Detect common issues 5. Population monitoring 6. Ephemeral infrastructure monitoring 7. Large-scale monitoring
Topic 8: Alerting on Metrics with Detectors	10%	- Detectors and Alerting 1. Muting rules 2. Standalone detectors 3. Clone and manage detectors 4. Create detectors from charts

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q103-Q108):

NEW QUESTION # 103
Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on Linux machines by default?

A. /etc/opentelemetry/
B. /etc/otel/collector/
C. /etc/system/default/
D. /opt/splunk/

Answer: B

Explanation:
According to the web search results, the Splunk distribution of the OpenTelemetry Collector stores the configuration files on Linux machines in the /etc/otel/collector/ directory by default. You can verify this by looking at the first result, which explains how to install the Collector for Linux manually. It also provides the locations of the default configuration file, the agent configuration file, and the gateway configuration file.

NEW QUESTION # 104
For a high-resolution metric, what is the highest possible native resolution of the metric?

A. 5 seconds
B. 1 second
C. 2 seconds
D. 15 seconds

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 data resolution and rollups. Data resolution refers to the granularity of the metric data points, and rollups are the process of aggregating data points over time to reduce the amount of data stored.
The Splunk O11y Cloud Certified Metrics User Track document, 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 Data Resolution and Rollups, which explains that Splunk Observability Cloud collects high-resolution metrics at 1- second intervals by default, and then applies rollups to reduce the data volume over time. The document also provides a table that shows the different rollup intervals and retention periods for different resolutions.
Therefore, based on these documents, we can conclude that for a high-resolution metric, the highest possible native resolution of the metric is 1 second.

NEW QUESTION # 105
Which of the following are true about organization metrics? (select all that apply)

A. Organization metrics are included for free.
B. A user can plot and alert on them like metrics they send to Splunk Observability Cloud.
C. Organization metrics give insights into system usage, system limits, data ingested and token quotas.
D. Organization metrics count towards custom MTS limits.

Answer: A,B,C

Explanation:
Organization metrics give insights into system usage, system limits, data ingested and token quotas. Organization metrics are included for free. A user can plot and alert on them like metrics they send to Splunk Observability Cloud. Organization metrics are a set of metrics that Splunk Observability Cloud provides to help you measure your organization's usage of the platform. They include metrics such as:
Ingest metrics: Measure the data you're sending to Infrastructure Monitoring, such as the number of data points you've sent.
App usage metrics: Measure your use of application features, such as the number of dashboards in your organization.
Integration metrics: Measure your use of cloud services integrated with your organization, such as the number of calls to the AWS CloudWatch API.
Resource metrics: Measure your use of resources that you can specify limits for, such as the number of custom metric time series (MTS) you've created.
Organization metrics are not charged and do not count against any system limits. You can view them in built-in charts on the Organization Overview page or in custom charts using the Metric Finder. You can also create alerts based on organization metrics to monitor your usage and performance.

NEW QUESTION # 106
What is the limit on the number of properties that an MTS can have?

A. No limit
B. 0
C. 1
D. 2

Answer: C

Explanation:
According to the web search results, the limit on the number of properties that an MTS can have is 64. A property is a key-value pair that you can assign to a dimension of an existing MTS to add more context to the metrics. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host is used for QA.
Properties are different from dimensions, which are key-value pairs that are sent along with the metrics at the time of ingest. Dimensions, along with the metric name, uniquely identify an MTS.
The limit on the number of dimensions per MTS is 36.

NEW QUESTION # 107
A user wants to see related dashboards, runbooks, or external documentation directly from a chart. Which feature should they configure?

A. Data Links
B. Dashboard Variables
C. Text Notes
D. Detector Conditions

Answer: A

Explanation:
Data Links allow users to configure contextual links from charts or dashboards to external resources, such as runbooks, documentation, or related dashboards, streamlining the troubleshooting workflow.

NEW QUESTION # 108
......

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