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Splunk SPLK-4001 Exam Syllabus Topics:

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

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q41-Q46):

NEW QUESTION # 41
Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

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 # 42
What is the highest resolution of data that can be stored in Splunk Observability Cloud?

Answer: D

Explanation:
Splunk Observability Cloud supports high-resolution metric data with a granularity of 10 milliseconds, allowing for very fine-grained observation and analysis of rapidly changing metrics.


NEW QUESTION # 43
A user configures a detector with a "Static Threshold" alert condition. What must they define for this condition to trigger correctly?

Answer: A

Explanation:
A Static Threshold condition requires the user to specify a fixed threshold value and how long the signal must remain above or below that value before the detector triggers an alert.


NEW QUESTION # 44
A team wants to visualize the 95th percentile of request latency across all instances of a service.
Which analytic function should be applied?

Answer: C

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 # 45
What happens when the limit of allowed dimensions is exceeded for an MTS?

Answer: C

Explanation:
According to the web search results, dimensions are metadata in the form of key-value pairs that monitoring software sends in along with the metrics. The set of metric time series (MTS) dimensions sent during ingest is used, along with the metric name, to uniquely identify an MTS1. Splunk Observability Cloud has a limit of 36 unique dimensions per MTS2. If the limit of allowed dimensions is exceeded for an MTS, the additional dimensions are dropped and not stored or indexed by Observability Cloud2. This means that the data point is still ingested, but without the extra dimensions. Therefore, option A is correct.


NEW QUESTION # 46
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