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Splunk SPLK-4001 Exam Syllabus Topics:

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

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q74-Q79):

NEW QUESTION # 74
Which of the following statements are true about the datatable on a chart? (select all that apply)

A. By default all dimensions on the output signal are displayed.
B. By default all metadata on the output signal are displayed.
C. A user can choose which of the output dimensions are displayed.
D. Properties cannot be displayed.

Answer: A,C

NEW QUESTION # 75
What is the primary purpose of the "Infrastructure Navigator" in Splunk Infrastructure Monitoring?

A. To provide a hierarchical, filterable view of infrastructure resources and their health
B. To create new detectors automatically
C. To store historical logs
D. To manage user permissions

Answer: A

Explanation:
The Infrastructure Navigator provides a tree-based, filterable view that lets users drill down through clusters, hosts, and other resources to quickly assess health and performance across their infrastructure.

NEW QUESTION # 76
A customer wants to know when no data has been reported for a critical host in the last 10 minutes. Which detector condition should they configure?

A. No Data
B. Outlier Detection
C. Resource Running Out
D. Historical Anomaly

Answer: A

Explanation:
The No Data condition is specifically designed to alert when a signal stops reporting data for a specified duration, which is useful for detecting hosts or services that may have gone offline or stopped emitting metrics.

NEW QUESTION # 77
A customer wants to share a collection of charts with their entire SRE organization. What feature of Splunk Observability Cloud makes this possible?

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

Answer: D

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 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 # 78
A team is troubleshooting high cardinality issues with a custom metric. What is a recommended best practice to reduce cardinality?

A. Add more dimensions to every datapoint
B. Convert the metric into a log
C. Avoid using high-cardinality values (such as unique IDs) as dimensions
D. Increase the metric resolution

Answer: C

Explanation:
Using high-cardinality values, such as unique request IDs or timestamps, as dimensions can cause an explosion in the number of unique time series. Avoiding this practice helps keep cardinality manageable and reduces cost and performance issues.

NEW QUESTION # 79
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