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Splunk SPLK-4001 Exam Syllabus Topics:

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

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q104-Q109):

NEW QUESTION # 104
A customer is experiencing an issue where their detector is not sending email notifications but is generating alerts within the Splunk Observability UI. Which of the below is the root cause?

A. The detector has a muting rule.
B. The detector has an incorrect signal,
C. The detector is disabled.
D. The detector has an incorrect alert rule.

Answer: A

Explanation:
Explanation
The most likely root cause of the issue is D. The detector has a muting rule.
A muting rule is a way to temporarily stop a detector from sending notifications for certain alerts, without disabling the detector or changing its alert conditions. A muting rule can be useful when you want to avoid alert noise during planned maintenance, testing, or other situations where you expect the metrics to deviate from normal1 When a detector has a muting rule, it will still generate alerts within the Splunk Observability UI, but it will not send email notifications or any other types of notifications that you have configured for the detector. You can see if a detector has a muting rule by looking at the Muting Rules tab on the detector page. You can also create, edit, or delete muting rules from there1 To learn more about how to use muting rules in Splunk Observability Cloud, you can refer to this documentation1.

NEW QUESTION # 105
Which of the following is optional, but highly recommended to include in a datapoint?

A. Timestamp
B. Value
C. Metric name
D. Metric type

Answer: D

Explanation:
A metric type is an optional, but highly recommended field that specifies the kind of measurement that a datapoint represents. For example, a metric type can be gauge, counter, cumulative counter, or histogram. A metric type helps Splunk Observability Cloud to interpret and display the data correctly.

NEW QUESTION # 106
To smooth a very spiky cpu.utilization metric, what is the correct analytic function to better see if the cpu. utilization for servers is trending up over time?

A. Median
B. Mean (by host)
C. Rate/Sec
D. Mean (Transformation)

Answer: D

Explanation:
According to the web search results, a mean transformation is an analytic function that returns the average value of a metric or a dimension over a specified time interval. A mean transformation can be used to smooth a very spiky metric, such as cpu.utilization, by reducing the impact of outliers and noise. A mean transformation can also help to see if the metric is trending up or down over time, by showing the general direction of the average value. For example, to smooth the cpu.utilization metric and see if it is trending up over time, you can use the following SignalFlow code:
mean(1h, counters("cpu.utilization"))
This will return the average value of the cpu.utilization counter metric for each metric time series (MTS) over the last hour. You can then use a chart to visualize the results and compare the mean values across different MTS.

NEW QUESTION # 107
What is the key difference between creating a standalone detector and creating a detector from a chart?

A. Creating a detector from a chart involves converting chart data into a muting rule.
B. Creating a standalone detector requires linking it to a chart, while creating a detector from a chart does not.
C. Standalone detectors do not require any conditions or settings, while detectors from charts do.
D. Standalone detectors are used for muting rules, while detectors from charts are used for cloning.

Answer: B

NEW QUESTION # 108
Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

A. gRPC (6831), SignalFx (4317), Fluentd (9080)
B. gRPC (4459), SignalFx (9166), Fluentd (8956)
C. gRPC (4000), SignalFx (9943), Fluentd (6060)
D. gRPC (4317), SignalFx (9080), Fluentd (8006)

Answer: D

Explanation:
Explanation
The correct answer is D. gRPC (4317), SignalFx (9080), Fluentd (8006).
According to the web search results, these are the default ports for the corresponding components in the OpenTelemetry Collector. You can verify this by looking at the table of exposed ports and endpoints in the first result1. You can also see the agent and gateway configuration files in the same result for more details.
1: https://docs.splunk.com/observability/gdi/opentelemetry/exposed-endpoints.html

NEW QUESTION # 109
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