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Splunk SPLK-4001 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Dashboards & Operational Efficiency10%- Reducing alert fatigue and optimizing monitoring
- Designing clear, performant dashboards
Topic 2: Visualizing Metrics20%- Creating and configuring charts, graphs, and time-series
- Visualization best practices and effective communication
- Using SignalFlow for custom queries
Topic 3: Data Collection & Ingestion15%- Signal flow and data processing pipeline
- OpenTelemetry configuration and deployment
- Integration with Kubernetes and cloud environments
Topic 4: Metrics Concepts20%- Dimensions, time-series data, and cardinality
- Metric types: Gauges, Counters, Histograms, Summaries
- Data retention and resolution settings
Topic 5: Analytics & Insights10%- Correlation and pattern detection
- Aggregation, filtering, and transformation functions
Topic 6: Alerting with Detectors15%- Common use cases: latency, saturation, errors
- Threshold, anomaly, and multi-condition detectors
- Notification rules and incident response
Topic 7: Built-in Monitoring Content10%- Content packs and quick-start monitoring
- Using pre-built dashboards and navigators

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q68-Q73):

NEW QUESTION # 68
A customer has a large population of servers. They want to identify the servers where utilization has increased the most since last week. Which analytics function is needed to achieve this?

Answer: A

Explanation:
The correct answer is C. Timeshift.
According to the Splunk Observability Cloud documentation1, timeshift is an analytic function that allows you to compare the current value of a metric with its value at a previous time interval, such as an hour ago or a week ago. You can use the timeshift function to measure the change in a metric over time and identify trends, anomalies, or patterns. For example, to identify the servers where utilization has increased the most since last week, you can use the following SignalFlow code:
timeshift(1w, counters("server.utilization"))
This will return the value of the server.utilization counter metric for each server one week ago. You can then subtract this value from the current value of the same metric to get the difference in utilization. You can also use a chart to visualize the results and sort them by the highest difference in utilization.


NEW QUESTION # 69
A team wants to visualize the 95th percentile of request latency across all instances of a service.
Which analytic function should be applied?

Answer: D

Explanation:
The Percentile analytic function allows users to calculate a specific percentile, such as p95, across the values of a signal, which is useful for understanding latency distribution and tail performance.


NEW QUESTION # 70
What information is needed to create a detector?

Answer: A

Explanation:
According to the Splunk Observability Cloud documentation1, to create a detector, you need the following information:
Alert Signal: This is the metric or dimension that you want to monitor and alert on. You can select a signal from a chart or a dashboard, or enter a SignalFlow query to define the signal.
Alert Condition: This is the criteria that determines when an alert is triggered or cleared. You can choose from various built-in alert conditions, such as static threshold, dynamic threshold, outlier, missing data, and so on. You can also specify the severity level and the trigger sensitivity for each alert condition.
Alert Settings: This is the configuration that determines how the detector behaves and interacts with other detectors. You can set the detector name, description, resolution, run lag, max delay, and detector rules. You can also enable or disable the detector, and mute or unmute the alerts.
Alert Message: This is the text that appears in the alert notification and event feed. You can customize the alert message with variables, such as signal name, value, condition, severity, and so on. You can also use markdown formatting to enhance the message appearance.
Alert Recipients: This is the list of destinations where you want to send the alert notifications. You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on. You can also specify the notification frequency and suppression settings.


NEW QUESTION # 71
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)

Answer: A,B,D

Explanation:
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 # 72
A customer wants to share a collection of charts with their entire SRE organization. What feature of Splunk Observability Cloud makes this possible?

Answer: B

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 organization.
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 # 73
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