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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Metrics Concepts | 15% | - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - Discriminate between types of metadata - List the components of a datapoint - Data resolution, rollups |
| Topic 2: Intro to Alerting on Metrics using Detectors | 10% | - Make a solo detector - Make the detector from a chart - Make a muting rule - Clone an existing detector |
| Topic 3: Monitor Using Built-in Content | 10% | - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Subscribe to alerts - Interact with data using built-in content - Use the Cluster Analyzer to pinpoint the root of some problems |
| Topic 4: Introduction to Metric Visualization | 15% | - Create charts and dashboards - Create widgets and showcase groups - Differentiate between several chart visualization types - Visualize a measure in a chart - Analyze data in charts - Look for metrics - Use rollups and analytical tools correctly |
| Topic 5: Get Metrics In with OpenTelemetry | 10% | - Deploy the OTel Collector on Linux - Edit the configuration - Troubleshooting common errors - General OpenTelemetry Concepts - Configure the OTel Collector |
| Topic 6: Create Efficient Dashboards and Alerts | 10% | - Configure personal information linkages - Include instructions on interfaces - View dashboard happenings - Create single-instance dashboard panels |
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NEW QUESTION # 46
Which of the following are required in the configuration of a data point? (select all that apply)
Answer: A,B,D
Explanation:
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
NEW QUESTION # 47
What happens when the limit of allowed dimensions is exceeded for an MTS?
Answer: B
Explanation:
Explanation
According to the web search results, dimensions are metadata in the form of key-value pairs that monitoring software sends in along with the metrics. The set of metric time series (MTS) dimensions sent during ingest is used, along with the metric name, to uniquely identify an MTS1. Splunk Observability Cloud has a limit of 36 unique dimensions per MTS2. If the limit of allowed dimensions is exceeded for an MTS, the additional dimensions are dropped and not stored or indexed by Observability Cloud2. This means that the data point is still ingested, but without the extra dimensions. Therefore, option A is correct.
NEW QUESTION # 48
Which of the following are required in the configuration of a data point? (select all that apply)
Answer: A,B,D
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
NEW QUESTION # 49
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?
Answer: B
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.
NEW QUESTION # 50
A user wants to see related dashboards, runbooks, or external documentation directly from a chart. Which feature should they configure?
Answer: D
Explanation:
Data Links allow users to configure contextual links from charts or dashboards to external resources, such as runbooks, documentation, or related dashboards, streamlining the troubleshooting workflow.
NEW QUESTION # 51
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