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Splunk SPLK-4001 Exam Syllabus Topics:

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

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SPLK-4001최고패스자료 - SPLK-4001최신 시험대비자료

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최신 Splunk O11y Cloud Certified SPLK-4001 무료샘플문제 (Q125-Q130):

질문 # 125
What constitutes a single metrics time series (MTS)?

정답:B

설명:
The correct answer is B. A set of data points that all have the same metric name and list of dimensions.
A metric time series (MTS) is a collection of data points that have the same metric and the same set of dimensions. For example, the following sets of data points are in three separate MTS:
MTS1: Gauge metric cpu.utilization, dimension "hostname": "host1" MTS2: Gauge metric cpu.utilization, dimension "hostname": "host2" MTS3: Gauge metric memory.usage, dimension "hostname": "host1" A metric is a numerical measurement that varies over time, such as CPU utilization or memory usage. A dimension is a key-value pair that provides additional information about the metric, such as the hostname or the location. A data point is a combination of a metric, a dimension, a value, and a timestamp1


질문 # 126
Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on Linux machines by default?

정답:B

설명:
Explanation
The correct answer is B. /etc/otel/collector/
According to the web search results, the Splunk distribution of the OpenTelemetry Collector stores the configuration files on Linux machines in the /etc/otel/collector/ directory by default. You can verify this by looking at the first result1, which explains how to install the Collector for Linux manually. It also provides the locations of the default configuration file, the agent configuration file, and the gateway configuration file.
To learn more about how to install and configure the Splunk distribution of the OpenTelemetry Collector, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/opentelemetry/install-linux-manual.html 2:
https://docs.splunk.com/Observability/gdi/opentelemetry.html


질문 # 127
Which of the following are required in the configuration of a data point? (select all that apply)

정답:A,B,C

설명:
Explanation
The required components in the configuration of a data point are:
Metric Name: A metric name is a string that identifies the type of measurement that the data point represents, such as cpu.utilization, memory.usage, or response.time. A metric name is mandatory for every data point, and it must be unique within a Splunk Observability Cloud organization1 Timestamp: A timestamp is a numerical value that indicates the time at which the data point was collected or generated. A timestamp is mandatory for every data point, and it must be in epoch time format, which is the number of seconds since January 1, 1970 UTC1 Value: A value is a numerical value that indicates the magnitude or quantity of the measurement that the data point represents. A value is mandatory for every data point, and it must be compatible with the metric type of the data point1 Therefore, the correct answer is A, C, and D.
To learn more about how to configure data points in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/Observability/gdi/metrics/metrics.html#Data-points


질문 # 128
Which of the following rollups will display the time delta between a datapoint being sent and a datapoint being received?

정답:C

설명:
Explanation
According to the Splunk Observability Cloud documentation1, lag is a rollup function that returns the difference between the most recent and the previous data point values seen in the metric time series reporting interval. This can be used to measure the time delta between a data point being sent and a data point being received, as long as the data points have timestamps that reflect their send and receive times. For example, if a data point is sent at 10:00:00 and received at 10:00:05, the lag value for that data point is 5 seconds.


질문 # 129
In the Splunk distribution of the OpenTelemetry Collector, what is the difference between the agent_config.yaml and the splunk-otel-collector.conf files?

정답:A


질문 # 130
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