Splunk O11y Cloud Metrics User (SPLK-4001) Certification Sample Questions

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Splunk SPLK-4001 Sample Questions:

01. To configure the OTel Collector, which file is typically used to define the settings for receivers, exporters, and processors?

a) otel-agent.yml

b) config.yaml

c) settings.conf

d) otel-collector-config.json

02. Which component of the OTel Collector is responsible for receiving telemetry data from instrumented applications?

a) Exporters

b) Receivers

c) Processors

d) Agents

03. How can analytic functions be applied to a subset of multiple time series (MTS) in a signal?

(Select all that apply)

a) Calculating the total value across all sources

b) Aggregating values from all MTS into a single time series

c) Applying separate calculations for each MTS in the subset

d) Combining all MTS to visualize in a single chart

04. When you add instructions to dashboards, what is their primary purpose?

a) To customize alert messages

b) To troubleshoot charts and alerts

c) To guide users on using the dashboard effectively

d) To configure local data links

05. In monitoring systems, which feature allows you to troubleshoot and identify issues with charts and alerts effectively?

a) Adding instructions to dashboards

b) Configuring local data links

c) Customizing alert messages

d) The ability to view event logs

06. What is the key difference between creating a standalone detector and creating a detector from a chart?

a) Standalone detectors are used for muting rules, while detectors from charts are used for cloning.

b) Creating a standalone detector requires linking it to a chart, while creating a detector from a chart does not.

c) Standalone detectors do not require any conditions or settings, while detectors from charts do.

d) Creating a detector from a chart involves converting chart data into a muting rule.

07. How can you effectively monitor metrics with cyclic patterns using detectors?

a) Apply a moving average to smooth out cyclic fluctuations

b) Configure multiple detectors with different extrapolation policies

c) Use historical data to predict cyclic patterns

d) Trigger alerts based on the highest and lowest points of the cycles

08. When applying analytic functions to a subset of multiple time series (MTS) in a signal, what is the resulting data structure?

a) A single time series with aggregated values

b) Individual time series with separate calculations

c) A combined time series with separate timestamps

d) A scatter plot showing the relationships between MTS

09. What approach can be used to effectively monitor cyclic metrics with unpredictable periods?

a) Implement custom anomaly detection algorithms to handle cyclic variations

b) Use LAG and LEAD analytic functions to identify cyclic patterns

c) Adjust the detector's threshold dynamically based on cyclic fluctuations

d) Apply moving averages with different window sizes

10. Which action allows you to analyze data across different dimensions and perform calculations based on a set of rows?

a) Interpret data in charts

b) Visualize a metric in a chart

c) Apply rollups and analytic functions

d) Create dashboards and dashboard groups

Answers:

Question: 01 Answer: d	Question: 02 Answer: b	Question: 03 Answer: b, c	Question: 04 Answer: c	Question: 05 Answer: d
Question: 06 Answer: b	Question: 07 Answer: a	Question: 08 Answer: b	Question: 09 Answer: a	Question: 10 Answer: c

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