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Splunk SPLK-4001 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Metrics Concepts	15%	- Core Metrics Data Model 1. Types of metadata 2. Components of a datapoint 3. Splunk IM data model, metrics, MTS, datapoints 4. Data resolution and rollups
Topic 2: Introduction to Visualizing Metrics	15%	- Metrics Visualization 1. Create charts and dashboards 2. Apply rollups and analytics functions 3. Dashboard groups 4. Search and visualize metrics 5. Visualization types
Topic 3: Monitor Using Built-in Content	10%	- Observability Navigation & Monitoring 1. Interpret charts using rollups and analytics functions 2. Kubernetes Navigator usage 3. Interact with built-in dashboards and content 4. Cluster Analyzer troubleshooting 5. Use alerts and detectors
Topic 4: Detectors for Common Use Cases	15%	- Advanced Detector Scenarios 1. Detect common issues 2. Non-flapping detectors 3. Population monitoring 4. Ephemeral infrastructure monitoring 5. Large-scale monitoring 6. Troubleshoot detectors 7. Cyclic pattern monitoring
Topic 5: Get Metrics In with OpenTelemetry	10%	- OpenTelemetry Collector Deployment 1. Troubleshooting common errors 2. Configure the OTel Collector 3. General OpenTelemetry concepts 4. Deploy the OTel Collector on Linux 5. Edit configuration files
Topic 6: Create Efficient Dashboards and Alerts	10%	- Dashboard Optimization 1. Data links configuration 2. Event overlays 3. Troubleshooting charts and alerts 4. Alert customization 5. Dashboard instructions 6. Single-instance dashboards
Topic 7: Finding Insights Using Analytics	15%	- Metrics Analytics 1. Moving and calendar window analytics 2. Ratios and percentage trends 3. Combining plots in charts 4. Aggregation across sources 5. Subset analysis of MTS signals 6. Time-based comparisons
Topic 8: Alerting on Metrics with Detectors	10%	- Detectors and Alerting 1. Clone and manage detectors 2. Muting rules 3. Create detectors from charts 4. Standalone detectors

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q83-Q88):

NEW QUESTION # 83
A user wants to compare current CPU usage to the same time yesterday on the same chart.
Which analytic function should they use?

A. Timeshift
B. Dense
C. Bottom
D. Rate

Answer: A

Explanation:
The Timeshift function shifts a signal by a specified time interval, allowing users to overlay and compare current data against historical data, such as the same period the previous day.

NEW QUESTION # 84
What is the limit on the number of properties that an MTS can have?

A. 0
B. No limit
C. 1
D. 2

Answer: D

Explanation:
Explanation
The correct answer is A. 64.
According to the web search results, the limit on the number of properties that an MTS can have is 64. A property is a key-value pair that you can assign to a dimension of an existing MTS to add more context to the metrics. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host is used for QA1 Properties are different from dimensions, which are key-value pairs that are sent along with the metrics at the time of ingest. Dimensions, along with the metric name, uniquely identify an MTS. The limit on the number of dimensions per MTS is 362 To learn more about how to use properties and dimensions in Splunk Observability Cloud, you can refer to this documentation2.
1:
https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html#Custom-properties
2: https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html

NEW QUESTION # 85
What is the primary purpose of the "Infrastructure Navigator" in Splunk Infrastructure Monitoring?

A. To create new detectors automatically
B. To store historical logs
C. To provide a hierarchical, filterable view of infrastructure resources and their health
D. To manage user permissions

Answer: C

Explanation:
The Infrastructure Navigator provides a tree-based, filterable view that lets users drill down through clusters, hosts, and other resources to quickly assess health and performance across their infrastructure.

NEW QUESTION # 86
A customer has an over-utilized host, and they want an alert when the disk utilization of a given host goes over 80% for 5 minutes. They create a detector, but do not see an alert when expected. Which of the following could be a reason for this?

A. There needs to be a Percentile analytic function on the signal.
B. Datapoints are being dropped or delayed when coming from the host.
C. The native resolution of the host's data is too high.
D. The detector's resolution is too low.

Answer: D

Explanation:
If a detector's resolution is too low, it may miss short-duration spikes in metrics. Setting the detector resolution appropriately ensures that sustained conditions, like disk utilization over 80% for 5 minutes, are accurately evaluated and trigger alerts.

NEW QUESTION # 87
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?

A. Tlmeshift
B. Rate
C. Standard deviation
D. Sum transformation

Answer: A

Explanation:
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 # 88
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