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Splunk SPLK-4001 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Metrics Concepts	20%	- Metric types: Gauges, Counters, Histograms, Summaries - Data retention and resolution settings - Dimensions, time-series data, and cardinality
Topic 2: Visualizing Metrics	20%	- Creating and configuring charts, graphs, and time-series - Using SignalFlow for custom queries - Visualization best practices and effective communication
Topic 3: Built-in Monitoring Content	10%	- Content packs and quick-start monitoring - Using pre-built dashboards and navigators
Topic 4: Alerting with Detectors	15%	- Common use cases: latency, saturation, errors - Threshold, anomaly, and multi-condition detectors - Notification rules and incident response
Topic 5: Dashboards & Operational Efficiency	10%	- Designing clear, performant dashboards - Reducing alert fatigue and optimizing monitoring
Topic 6: Analytics & Insights	10%	- Aggregation, filtering, and transformation functions - Correlation and pattern detection
Topic 7: Data Collection & Ingestion	15%	- Integration with Kubernetes and cloud environments - Signal flow and data processing pipeline - OpenTelemetry configuration and deployment

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q51-Q56):

NEW QUESTION # 51
When writing a detector with a large number of MTS, such as memory. free in a deployment with
30,000 hosts, it is possible to exceed the cap of MTS that can be contained in a single plot.
Which of the choices below would most likely reduce the number of MTS below the plot cap?

A. Add a filter to narrow the scope of the measurement.
B. When creating the plot, add a discriminator.
C. Add a restricted scope adjustment to the plot.
D. Select the Sharded option when creating the plot.

Answer: A

Explanation:
Add a filter to narrow the scope of the measurement. A filter is a way to reduce the number of metric time series (MTS) that are displayed on a chart or used in a detector. A filter specifies one or more dimensions and values that the MTS must have in order to be included. For example, if you want to monitor the memory.free metric only for hosts that belong to a certain cluster, you can add a filter like cluster:my-cluster to the plot or detector. This will exclude any MTS that do not have the cluster dimension or have a different value for it. Adding a filter can help you avoid exceeding the plot cap, which is the maximum number of MTS that can be contained in a single plot. The plot cap is 100,000 by default, but it can be changed by contacting Splunk Support.

NEW QUESTION # 52
Which of the following statements about adding properties to MTS are true? (select all that apply)

A. Properties can be set via the API.
B. Properties are applied to dimension key:value pairs and propagated to all MTS with that dimension
C. Properties are sent in with datapoints.
D. Properties can be set in the UI under Metric Metadata.

Answer: A,D

Explanation:
According to the web search results, properties are key-value pairs that you can assign to dimensions of existing metric time series (MTS) in Splunk Observability Cloud. Properties provide additional context and information about the metrics, such as the environment, role, or owner of the dimension. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host that is sending the data is used for QA. To add properties to MTS, you can use either the API or the UI. The API allows you to programmatically create, update, delete, and list properties for dimensions using HTTP requests. The UI allows you to interactively create, edit, and delete properties for dimensions using the Metric Metadata page under Settings.

NEW QUESTION # 53
Which of the following is true about the native resolution of a metric?

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

Answer: B

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 # 54
Which of the following statements about adding properties to MTS are true? (select all that apply)

A. Properties can be set via the API.
B. Properties are applied to dimension key:value pairs and propagated to all MTS with that dimension
C. Properties are sent in with datapoints.
D. Properties can be set in the UI under Metric Metadata.

Answer: A,D

Explanation:
Explanation
According to the web search results, properties are key-value pairs that you can assign to dimensions of existing metric time series (MTS) in Splunk Observability Cloud1. Properties provide additional context and information about the metrics, such as the environment, role, or owner of the dimension. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host that is sending the data is used for QA.
To add properties to MTS, you can use either the API or the UI. The API allows you to programmatically create, update, delete, and list properties for dimensions using HTTP requests2. The UI allows you to interactively create, edit, and delete properties for dimensions using the Metric Metadata page under Settings3.
Therefore, option A and D are correct.

NEW QUESTION # 55
How can you effectively monitor metrics with cyclic patterns using detectors?

A. Trigger alerts based on the highest and lowest points of the cycles
B. Use historical data to predict cyclic patterns
C. Configure multiple detectors with different extrapolation policies
D. Apply a moving average to smooth out cyclic fluctuations

Answer: D

NEW QUESTION # 56
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