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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor Using Built-in Content | 10% | - Subscribe to alerts - Use the Cluster Analyzer to pinpoint the root of some problems - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Interact with data using built-in content |
| Topic 2: Metrics Concepts | 15% | - Data resolution, rollups - List the components of a datapoint - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - Discriminate between types of metadata |
| Topic 3: Create Efficient Dashboards and Alerts | 10% | - Configure personal information linkages - Include instructions on interfaces - View dashboard happenings - Create single-instance dashboard panels |
| Topic 4: Intro to Alerting on Metrics using Detectors | 10% | - Make a muting rule - Make a solo detector - Clone an existing detector - Make the detector from a chart |
| Topic 5: Get Metrics In with OpenTelemetry | 10% | - Deploy the OTel Collector on Linux - Troubleshooting common errors - General OpenTelemetry Concepts - Configure the OTel Collector - Edit the configuration |
| Topic 6: Introduction to Metric Visualization | 15% | - Visualize a measure in a chart - Create charts and dashboards - Create widgets and showcase groups - Differentiate between several chart visualization types - Use rollups and analytical tools correctly - Look for metrics - Analyze data in charts |
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NEW QUESTION # 53
A customer has a single-instance dashboard that multiple teams within their organization use to track different environments. What is the best way to make it more tailored for all teams without adding filters into the signal or adding more signals?
Answer: B
Explanation:
Dashboard variables allow the same dashboard to be dynamically filtered for different teams or environments without modifying the underlying signals, providing a tailored view for each team efficiently.
NEW QUESTION # 54
Which of the following aggregate analytic functions will allow a user to see the highest or lowest n values of a metric?
Answer: B
Explanation:
The correct answer is D. Top / Bottom.
Top and bottom are aggregate analytic functions that allow a user to see the highest or lowest n values of a metric. They can be used to select a subset of the time series in the plot by count or by percent. For example, top (5) will show the five time series with the highest values in each time period, while bottom (10%) will show the 10% of time series with the lowest values in each time period1 To learn more about how to use top and bottom functions in Splunk Observability Cloud, you can refer to this documentation1.
NEW QUESTION # 55
Which of the following can be configured when subscribing to a built-in detector?
Answer: B
Explanation:
According to the web search results, subscribing to a built-in detector is a way to receive alerts and notifications from Splunk Observability Cloud when certain criteria are met. A built-in detector is a detector that is automatically created and configured by Splunk Observability Cloud based on the data from your integrations, such as AWS, Kubernetes, or OpenTelemetry. To subscribe to a built-in detector, you need to do the following steps:
Find the built-in detector that you want to subscribe to. You can use the metric finder or the dashboard groups to locate the built-in detectors that are relevant to your data sources. Hover over the built-in detector and click the Subscribe button. This will open a dialog box where you can configure your subscription settings.
Choose an outbound notification channel from the drop-down menu. This is where you can specify how you want to receive the alert notifications from the built-in detector. You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on. You can also create a new notification channel by clicking the + icon.
Enter the notification details for the selected channel. This may include your email address, Slack channel name, PagerDuty service key, webhook URL, and so on. You can also customize the notification message with variables and markdown formatting. Click Save. This will subscribe you to the built-in detector and send you alert notifications through the chosen channel when the detector triggers or clears an alert.
NEW QUESTION # 56
Which of the following statements about adding properties to MTS are true? (select all that apply)
Answer: C,D
Explanation:
According to the web search results, properties are key-value pairs that you can assign to dimensions of existing metric time series (MTS) in Splunk Observability Cloud. Properties provide additional context and information about the metrics, such as the environment, role, or owner of the dimension. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host that is sending the data is used for QA. To add properties to MTS, you can use either the API or the UI. The API allows you to programmatically create, update, delete, and list properties for dimensions using HTTP requests. The UI allows you to interactively create, edit, and delete properties for dimensions using the Metric Metadata page under Settings.
NEW QUESTION # 57
What information is needed to create a detector?
Answer: D
Explanation:
According to the Splunk Observability Cloud documentation1, to create a detector, you need the following information:
Alert Signal: This is the metric or dimension that you want to monitor and alert on. You can select a signal from a chart or a dashboard, or enter a SignalFlow query to define the signal.
Alert Condition: This is the criteria that determines when an alert is triggered or cleared. You can choose from various built-in alert conditions, such as static threshold, dynamic threshold, outlier, missing data, and so on. You can also specify the severity level and the trigger sensitivity for each alert condition.
Alert Settings: This is the configuration that determines how the detector behaves and interacts with other detectors. You can set the detector name, description, resolution, run lag, max delay, and detector rules. You can also enable or disable the detector, and mute or unmute the alerts.
Alert Message: This is the text that appears in the alert notification and event feed. You can customize the alert message with variables, such as signal name, value, condition, severity, and so on. You can also use markdown formatting to enhance the message appearance.
Alert Recipients: This is the list of destinations where you want to send the alert notifications. You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on. You can also specify the notification frequency and suppression settings.
NEW QUESTION # 58
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