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Splunk SPLK-4001 Exam Syllabus Topics:

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

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q10-Q15):

NEW QUESTION # 10
Which of the following can be configured when subscribing to a built-in detector?

A. Links to a chart.
B. Alerts on team landing page.
C. Alerts on a dashboard.
D. Outbound notifications.

Answer: D

Explanation:
According to the web search results, subscribing to a built-in detector is a way to receive alerts and notifications from Splunk Observability Cloud when certain criteria are met. A built-in detector is a detector that is automatically created and configured by Splunk Observability Cloud based on the data from your integrations, such as AWS, Kubernetes, or OpenTelemetry. To subscribe to a built-in detector, you need to do the following steps:
Find the built-in detector that you want to subscribe to. You can use the metric finder or the dashboard groups to locate the built-in detectors that are relevant to your data sources. Hover over the built-in detector and click the Subscribe button. This will open a dialog box where you can configure your subscription settings.
Choose an outbound notification channel from the drop-down menu. This is where you can specify how you want to receive the alert notifications from the built-in detector. You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on. You can also create a new notification channel by clicking the + icon.
Enter the notification details for the selected channel. This may include your email address, Slack channel name, PagerDuty service key, webhook URL, and so on. You can also customize the notification message with variables and markdown formatting. Click Save. This will subscribe you to the built-in detector and send you alert notifications through the chosen channel when the detector triggers or clears an alert.

NEW QUESTION # 11
What modes can the Splunk Distribution of the OpenTelemetry Collector be deployed in?
(Choose all that apply.)

A. Minimal
B. Gateway
C. Agent
D. Universal

Answer: B,C

Explanation:
The Splunk Distribution of the OpenTelemetry Collector can be deployed in agent mode, running on the same host as the application to collect telemetry locally, or in gateway mode, acting as a central point to receive and forward data from multiple agents.

NEW QUESTION # 12
Which of the following best describes the difference between a Chart and a Single Value chart in a dashboard?

A. A Chart can only show one metric, while Single Value can show multiple.
B. There is no difference; they are the same visualization.
C. A Chart visualizes trends over time, while a Single Value chart displays the most recent aggregated value of a signal.
D. Single Value charts cannot be added to dashboards.

Answer: C

Explanation:
A standard Chart is designed to show trends and patterns over a time range, while a Single Value chart focuses on displaying a single, current aggregated number, often used for at-a-glance status indicators.

NEW QUESTION # 13
A Software Engineer is troubleshooting an issue with memory utilization in their application. They released a new canary version to production and now want to determine if the average memory usage is lower for requests with the 'canary' version dimension. They've already opened the graph of memory utilization for their service.
How does the engineer see if the new release lowered average memory utilization?

A. On the chart for plot A, scroll to the end and click Enter Function, then enter 'A/B-l'.
B. On the chart for plot A, select Add Analytics, then select Mean:Aggregation. In the window that appears, select 'version' from the Group By field.
C. On the chart for plot A, click the Compare Means button. In the window that appears, type 'version1.
D. On the chart for plot A, select Add Analytics, then select MeanrTransformation. In the window that appears, select 'version' from the Group By field.

Answer: B

Explanation:
The correct answer is C. On the chart for plot A, select Add Analytics, then select Mean:Aggregation. In the window that appears, select 'version' from the Group By field.
This will create a new plot B that shows the average memory utilization for each version of the application. The engineer can then compare the values of plot B for the 'canary' and 'stable' versions to see if there is a significant difference.
To learn more about how to use analytics functions in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/Observability/gdi/metrics/analytics.html

NEW QUESTION # 14
Which of the following is true about the native resolution of a metric?

A. It can be changed retroactively for historical data.
B. It is always fixed at one datapoint per second.
C. It is determined by how frequently datapoints are reported by the source.
D. It only applies to dimensions, not metrics.

Answer: C

Explanation:
The native resolution of a metric is determined by the reporting interval of the source sending the data; charts and detectors may aggregate data using rollups when viewing over longer time ranges than the native resolution.

NEW QUESTION # 15
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