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| Section | Weight | Objectives |
|---|---|---|
| Introduction to Metric Visualization | 15% | - Visualize a measure in a chart - Create widgets and showcase groups - Use rollups and analytical tools correctly - Create charts and dashboards - Analyze data in charts - Look for metrics - Differentiate between several chart visualization types |
| Monitor Using Built-in Content | 10% | - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Subscribe to alerts - Use the Cluster Analyzer to pinpoint the root of some problems - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Interact with data using built-in content |
| Intro to Alerting on Metrics using Detectors | 10% | - Make a solo detector - Make a muting rule - Clone an existing detector - Make the detector from a chart |
| Get Metrics In with OpenTelemetry | 10% | - Deploy the OTel Collector on Linux - Configure the OTel Collector - Edit the configuration - Troubleshooting common errors - General OpenTelemetry Concepts |
| Metrics Concepts | 15% | - Discriminate between types of metadata - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - Data resolution, rollups - List the components of a datapoint |
| Create Efficient Dashboards and Alerts | 10% | - Configure personal information linkages - Create single-instance dashboard panels - View dashboard happenings - Include instructions on interfaces |
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NEW QUESTION # 121
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?
Answer: A
Explanation:
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 purposes. 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 occur. 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 listed.
NEW QUESTION # 122
An executive team wants a chart to show the number of transactions processed so far today.
What analytics function will achieve this?
Answer: C
Explanation:
Sum Transformation with a Calendar Window calculates the accumulated total within a fixed calendar period, such as today. This produces a chart showing the number of transactions processed so far during the current day.
NEW QUESTION # 123
Changes to which type of metadata result in a new metric time series?
Answer: B
Explanation:
The correct answer is A. Dimensions.
Dimensions are metadata in the form of key-value pairs that are sent along with the metrics at the time of ingest. They provide additional information about the metric, such as the name of the host that sent the metric, or the location of the server. Along with the metric name, they uniquely identify a metric time series (MTS)1 Changes to dimensions result in a new MTS, because they create a different combination of metric name and dimensions. For example, if you change the hostname dimension from host1 to host2, you will create a new MTS for the same metric name1 Properties, sources, and tags are other types of metadata that can be applied to existing MTSes after ingest. They do not contribute to uniquely identify an MTS, and they do not create a new MTS when changed2 To learn more about how to use metadata in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/metrics-and-metadata/metrics.html#Dimensions 2: https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html
NEW QUESTION # 124
The alert recipients tab specifies where notification messages should be sent when alerts are triggered or cleared. Which of the below options can be used? (select all that apply)
Answer: A,B,C
Explanation:
The alert recipients tab specifies where notification messages should be sent when alerts are triggered or cleared. The options that can be used are:
Invoke a webhook URL. This option allows you to send a HTTP POST request to a custom URL that can perform various actions based on the alert information. For example, you can use a webhook to create a ticket in a service desk system, post a message to a chat channel, or trigger another workflow.
Send an SMS message. This option allows you to send a text message to one or more phone numbers when an alert is triggered or cleared. You can customize the message content and format using variables and templates.
Send to email addresses. This option allows you to send an email notification to one or more recipients when an alert is triggered or cleared. You can customize the email subject, body, and attachments using variables and templates. You can also include information from search results, the search job, and alert triggering in the email.
NEW QUESTION # 125
A team wants to visualize the 95th percentile of request latency across all instances of a service.
Which analytic function should be applied?
Answer: D
Explanation:
The Percentile analytic function allows users to calculate a specific percentile, such as p95, across the values of a signal, which is useful for understanding latency distribution and tail performance.
NEW QUESTION # 126
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