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Splunk SPLK-4001 Exam Syllabus Topics:

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

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Splunk O11y Cloud Certified Metrics User Sample Questions (Q13-Q18):

NEW QUESTION # 13
A customer is experiencing issues getting metrics from a new receiver they have configured in the OpenTelemetry Collector. How would the customer go about troubleshooting further with the logging exporter?

A. Adding logging into the metrics exporter pipeline:
B. Adding debug into the metrics receiver pipeline:
C. Adding debug into the metrics exporter pipeline:
D. Adding logging into the metrics receiver pipeline:

Answer: D

Explanation:
Explanation
The correct answer is B. Adding logging into the metrics receiver pipeline.
The logging exporter is a component that allows the OpenTelemetry Collector to send traces, metrics, and logs directly to the console. It can be used to diagnose and troubleshoot issues with telemetry received and processed by the Collector, or to obtain samples for other purposes1 To activate the logging exporter, you need to add it to the pipeline that you want to diagnose. In this case, since you are experiencing issues with a new receiver for metrics, you need to add the logging exporter to the metrics receiver pipeline. This will create a new plot that shows the metrics received by the Collector and any errors or warnings that might occur1 The image that you have sent with your question shows how to add the logging exporter to the metrics receiver pipeline. You can see that the exporters section of the metrics pipeline includes logging as one of the options.
This means that the metrics received by any of the receivers listed in the receivers section will be sent to the logging exporter as well as to any other exporters listed2 To learn more about how to use the logging exporter in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/Observability/gdi/opentelemetry/components/logging-exporter.html 2:
https://docs.splunk.com/Observability/gdi/opentelemetry/exposed-endpoints.html

NEW QUESTION # 14
One server in a customer's data center is regularly restarting due to power supply issues. What type of dashboard could be used to view charts and create detectors for this server?

A. Machine dashboard
B. Single-instance dashboard
C. Multiple-service dashboard
D. Server dashboard

Answer: B

Explanation:
According to the Splunk O11y Cloud Certified Metrics User Track document1, a single-instance dashboard is a type of dashboard that displays charts and information for a single instance of a service or host. You can use a single-instance dashboard to monitor the performance and health of a specific server, such as the one that is restarting due to power supply issues. You can also create detectors for the metrics that are relevant to the server, such as CPU usage, memory usage, disk usage, and uptime. Therefore, option A is correct.

NEW QUESTION # 15
What is the highest resolution of data that can be stored in Splunk Observability Cloud?

A. 10 s
B. 10 ms
C. 1 ms
D. 1 s

Answer: B

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 # 16
What is the limit on the number of properties that an MTS can have?

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

Answer: B

Explanation:
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 QA.
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 36.

NEW QUESTION # 17
An SRE creates a new detector to receive an alert when server latency is higher than 260 milliseconds. Latency below 260 milliseconds is healthy for their service. The SRE creates a New Detector with a Custom Metrics Alert Rule for latency and sets a Static Threshold alert condition at 260ms. How can the number of alerts be reduced?

A. Choose another signal.
B. Adjust the threshold.
C. Adjust the notification sensitivity. Duration set to 1 minute.
D. Adjust the Trigger sensitivity. Duration set to 1 minute.

Answer: D

Explanation:
According to the Splunk O11y Cloud Certified Metrics User Track document, trigger sensitivity is a setting that determines how long a signal must remain above or below a threshold before an alert is triggered. By default, trigger sensitivity is set to Immediate, which means that an alert is triggered as soon as the signal crosses the threshold. This can result in a lot of alerts, especially if the signal fluctuates frequently around the threshold value. To reduce the number of alerts, you can adjust the trigger sensitivity to a longer duration, such as 1 minute, 5 minutes, or 15 minutes.
This means that an alert is only triggered if the signal stays above or below the threshold for the specified duration. This can help filter out noise and focus on more persistent issues.

NEW QUESTION # 18
......

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