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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Get Metrics In with OpenTelemetry | 10% | - Configure the OTel Collector - General OpenTelemetry Concepts - Troubleshooting common errors - Edit the configuration - Deploy the OTel Collector on Linux |
| Topic 2: Introduction to Metric Visualization | 15% | - Create widgets and showcase groups - Analyze data in charts - Use rollups and analytical tools correctly - Visualize a measure in a chart - Look for metrics - Create charts and dashboards - Differentiate between several chart visualization types |
| Topic 3: Metrics Concepts | 15% | - Data resolution, rollups - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - Discriminate between types of metadata - List the components of a datapoint |
| Topic 4: Monitor Using Built-in Content | 10% | - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Interact with data using built-in content - Subscribe to alerts - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Use the Cluster Analyzer to pinpoint the root of some problems |
| Topic 5: Create Efficient Dashboards and Alerts | 10% | - Create single-instance dashboard panels - Include instructions on interfaces - View dashboard happenings - Configure personal information linkages |
| Topic 6: Intro to Alerting on Metrics using Detectors | 10% | - Make a muting rule - Make the detector from a chart - Clone an existing detector - Make a solo detector |
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NEW QUESTION # 70
Which of the following are required in the configuration of a data point? (select all that apply)
Answer: A,B,C
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 organization.
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 point.
NEW QUESTION # 71
A customer has a dashboard that tracks multiple performance metrics for hosts related to a production application. They want to create an alert based on an existing chart that shows them the p90 latency for a service of their application. What is the most efficient way to achieve this?
Answer: A
Explanation:
Creating a new detector from an existing chart allows the alert to leverage the same signals and analytic functions, such as p90 latency, efficiently without having to rebuild the logic manually.
NEW QUESTION # 72
Which mode is needed when the OpenTelemetry Collector is deployed on the same host as the application being monitored?
Answer: D
Explanation:
When the OpenTelemetry Collector runs on the same host as the application, it operates in agent mode. In this mode, it directly receives telemetry data from the application and forwards it to a centralized backend or gateway for further processing.
NEW QUESTION # 73
What is the key difference between creating a standalone detector and creating a detector from a chart?
Answer: A
NEW QUESTION # 74
What constitutes a single metrics time series (MTS)?
Answer: B
Explanation:
The correct answer is B. A set of data points that all have the same metric name and list of dimensions.
A metric time series (MTS) is a collection of data points that have the same metric and the same set of dimensions. For example, the following sets of data points are in three separate MTS:
MTS1: Gauge metric cpu.utilization, dimension "hostname": "host1" MTS2: Gauge metric cpu.utilization, dimension "hostname": "host2" MTS3: Gauge metric memory.usage, dimension "hostname": "host1" A metric is a numerical measurement that varies over time, such as CPU utilization or memory usage. A dimension is a key-value pair that provides additional information about the metric, such as the hostname or the location. A data point is a combination of a metric, a dimension, a value, and a timestamp1
NEW QUESTION # 75
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