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Splunk SPLK-4001 Exam Syllabus Topics:

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

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q27-Q32):

NEW QUESTION # 27
A customer is sending in datapoints regarding the number of API calls made to a particular service. The datapoints are being sent every 10 seconds, and represent the number of API calls seen in the last 10 seconds. What metric type is this?

A. Numeric
B. Gauge
C. Cumulative Counter
D. Counter

Answer: B

Explanation:
A gauge metric represents a value measured at a specific point in time or over a defined interval.
In this scenario, the datapoints indicate the number of API calls observed in each 10-second interval, which aligns with the characteristics of a gauge metric.

NEW QUESTION # 28
What does the "Sudden Change" detector condition type identify?

A. A gradual increase in a metric's value over weeks
B. A significant deviation from recent historical behavior within a short time window
C. A missing datapoint
D. A fixed threshold breach

Answer: B

Explanation:
The Sudden Change condition compares recent signal behavior to a recent historical window and alerts when there is a significant, abrupt deviation, making it useful for detecting spikes or drops.

NEW QUESTION # 29
An SRE creates an event feed chart in a dashboard that shows a list of events that meet criteria they specify. Which of the following should they include? (select all that apply)

A. Events created when a detector triggers an alert.
B. Events created when a detector clears an alert.
C. Custom events that have been sent in from an external source.
D. Random alerts from active detectors.

Answer: A,B,C

Explanation:
According to the web search results1, an event feed chart is a type of chart that shows a list of events that meet criteria you specify. An event feed chart can display one or more event types depending on how you specify the criteria. The event types that you can include in an event feed chart are:
Custom events that have been sent in from an external source: These are events that you have created or received from a third-party service or tool, such as AWS CloudWatch, GitHub, Jenkins, or PagerDuty. You can send custom events to Splunk Observability Cloud using the API or the Event Ingest Service.
Events created when a detector triggers or clears an alert: These are events that are automatically generated by Splunk Observability Cloud when a detector evaluates a metric or dimension and finds that it meets the alert condition or returns to normal. You can create detectors to monitor and alert on various metrics and dimensions using the UI or the API.
Therefore, option A, B, and D are correct.

NEW QUESTION # 30
Which of the following chart visualization types are unaffected by changing the time picker on a dashboard? (select all that apply)

A. Line
B. Single Value
C. Heatmap
D. List

Answer: B,D

Explanation:
The chart visualization types that are unaffected by changing the time picker on a dashboard are:
Single Value: A single value chart shows the current value of a metric or an expression. It does not depend on the time range of the dashboard, but only on the data resolution and rollup function of the chart.
List: A list chart shows the values of a metric or an expression for each dimension value in a table format. It does not depend on the time range of the dashboard, but only on the data resolution and rollup function of the chart.

NEW QUESTION # 31
When creating a standalone detector, individual rules in it are labeled according to severity. Which of the choices below represents the possible severity levels that can be selected?

A. Debug, Warning, Minor, Major, and Critical.
B. Info, Warning, Minor, Major, and Emergency.
C. Info, Warning, Minor, Major, and Critical.
D. Info, Warning, Minor, Severe, and Critical.

Answer: C

Explanation:
Explanation
The correct answer is C. Info, Warning, Minor, Major, and Critical.
When creating a standalone detector, you can define one or more rules that specify the alert conditions and the severity level for each rule. The severity level indicates how urgent or important the alert is, and it can also affect the notification settings and the escalation policy for the alert1 Splunk Observability Cloud provides five predefined severity levels that you can choose from when creating a rule: Info, Warning, Minor, Major, and Critical. Each severity level has a different color and icon to help you identify the alert status at a glance. You can also customize the severity levels by changing their names, colors, or icons2 To learn more about how to create standalone detectors and use severity levels in Splunk Observability Cloud, you can refer to these documentations12.
1:
https://docs.splunk.com/Observability/alerts-detectors-notifications/detectors.html#Create-a-standalone-detector
2: https://docs.splunk.com/Observability/alerts-detectors-notifications/detector-options.html#Severity-levels

NEW QUESTION # 32
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