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Splunk SPLK-4001 Exam Syllabus Topics:

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

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q74-Q79):

NEW QUESTION # 74
An SRE came across an existing detector that is a good starting point for a detector they want to create. They clone the detector, update the metric, and add multiple new signals. As a result of the cloned detector, which of the following is true?

A. You can only monitor one of the new signals.
B. The new signals will be reflected in the original detector.
C. The new signals will not be added to the original detector.
D. The new signals will be reflected in the original chart.

Answer: C

Explanation:
Explanation
According to the Splunk O11y Cloud Certified Metrics User Track document1, cloning a detector creates a copy of the detector that you can modify without affecting the original detector. You can change the metric, filter, and signal settings of the cloned detector. However, the new signals that you add to the cloned detector will not be reflected in the original detector, nor in the original chart that the detector was based on. Therefore, option D is correct.
Option A is incorrect because the new signals will not be reflected in the original detector. Option B is incorrect because the new signals will not be reflected in the original chart. Option C is incorrect because you can monitor all of the new signals that you add to the cloned detector.

NEW QUESTION # 75
What is the recommended approach to monitor a large number of metric time series (MTS)?

A. Use dimensions to filter and break down MTS into smaller groups.
B. Use one of the aggregation functions over time window to group MTS.
C. Use one of the aggregation functions to group MTS.
D. Use an MTS policy to group MTS.

Answer: A

Explanation:
Using dimensions to filter and break down metric time series allows you to organize and manage large numbers of MTS efficiently. Dimensions provide context and enable grouping, filtering, and targeted analysis without overwhelming dashboards or alerts.

NEW QUESTION # 76
A customer has a very dynamic infrastructure. During every deployment, all existing instances are destroyed, and new ones are created Given this deployment model, how should a detector be created that will not send false notifications of instances being down?

A. Create the detector. Select Alert settings, then select Ephemeral Infrastructure and enter the expected lifetime of an instance.
B. Check the Ephemeral checkbox when creating the detector.
C. Create the detector. Select Alert settings, then select Auto-Clear Alerts and enter an appropriate time period.
D. Check the Dynamic checkbox when creating the detector.

Answer: A

Explanation:
According to the web search results, ephemeral infrastructure is a term that describes instances that are auto-scaled up or down, or are brought up with new code versions and discarded or recycled when the next code version is deployed. Splunk Observability Cloud has a feature that allows you to create detectors for ephemeral infrastructure without sending false notifications of instances being down. To use this feature, you need to do the following steps:
Create the detector as usual, by selecting the metric or dimension that you want to monitor and alert on, and choosing the alert condition and severity level. Select Alert settings, then select Ephemeral Infrastructure. This will enable a special mode for the detector that will automatically clear alerts for instances that are expected to be terminated. Enter the expected lifetime of an instance in minutes. This is the maximum amount of time that an instance is expected to live before being replaced by a new one. For example, if your instances are replaced every hour, you can enter 60 minutes as the expected lifetime.
Save the detector and activate it.
With this feature, the detector will only trigger alerts when an instance stops reporting a metric unexpectedly, based on its expected lifetime. If an instance stops reporting a metric within its expected lifetime, the detector will assume that it was terminated on purpose and will not trigger an alert.

NEW QUESTION # 77
Olive is creating a dashboard for her team, and she wants to include instructions on the dashboard for what to do if a metric is outside of a desired range. Which element can she use to add these details to the dashboard?

A. Text instructions
B. Dashboard comments
C. Text note
D. Dashboard note

Answer: C

Explanation:
A Text note element can be added to a dashboard to provide instructions, guidance, or context for users, such as steps to follow when a metric is outside the desired range.

NEW QUESTION # 78
What modes can the Splunk Distribution of the OpenTelemetry Collector be deployed in?
(Choose all that apply.)

A. Minimal
B. Gateway
C. Universal
D. Agent

Answer: B,D

Explanation:
The Splunk Distribution of the OpenTelemetry Collector can be deployed in agent mode, running on the same host as the application to collect telemetry locally, or in gateway mode, acting as a central point to receive and forward data from multiple agents.

NEW QUESTION # 79
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