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| Section | Weight | Objectives |
|---|---|---|
| Analytics & Insights | 10% | - Aggregation, filtering, and transformation functions - Correlation and pattern detection |
| Metrics Concepts | 20% | - Metric types: Gauges, Counters, Histograms, Summaries - Data retention and resolution settings - Dimensions, time-series data, and cardinality |
| Dashboards & Operational Efficiency | 10% | - Reducing alert fatigue and optimizing monitoring - Designing clear, performant dashboards |
| Data Collection & Ingestion | 15% | - Integration with Kubernetes and cloud environments - Signal flow and data processing pipeline - OpenTelemetry configuration and deployment |
| Built-in Monitoring Content | 10% | - Content packs and quick-start monitoring - Using pre-built dashboards and navigators |
| Alerting with Detectors | 15% | - Threshold, anomaly, and multi-condition detectors - Notification rules and incident response - Common use cases: latency, saturation, errors |
| Visualizing Metrics | 20% | - Creating and configuring charts, graphs, and time-series - Visualization best practices and effective communication - Using SignalFlow for custom queries |
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NEW QUESTION # 93
What is the main benefit of using dashboard groups in Splunk Observability Cloud?
Answer: A
Explanation:
Dashboard groups let users organize multiple related dashboards together, making it easier to navigate and manage dashboards that pertain to the same team, service, or use case.
NEW QUESTION # 94
Which of the following aggregate analytic functions will allow a user to see the highest or lowest n values of a metric?
Answer: A
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 # 95
Which of the following can be configured when subscribing to a built-in detector?
Answer: D
Explanation:
According to the web search results1, 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 OpenTelemetry1. 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 sources1.
Hover over the built-in detector and click the Subscribe button. This will open a dialog box where you can configure your subscription settings1.
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 on2. You can also create a new notification channel by clicking the + icon2.
Enter the notification details for the selected channel. This may include your email address, Slack channel name, PagerDuty service key, webhook URL, and so on2. You can also customize the notification message with variables and markdown formatting2.
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.
Therefore, option C is correct.
NEW QUESTION # 96
Which built-in dimension is automatically added to metrics reported by hosts running the Splunk Distribution of the OpenTelemetry Collector?
Answer: A
Explanation:
The host dimension is automatically included with metrics collected from a host, allowing users to filter, group, and analyze data on a per-host basis.
NEW QUESTION # 97
In a chart where signal 'A' contains a metric's current value, and signal 'B' contains a historical value, which formula will allow a user to calculate the percent change in a metric's value from a previous time period?
Answer: C
Explanation:
Percent change is calculated by subtracting the historical value from the current value, dividing that difference by the historical value, and multiplying by 100 to express the result as a percentage.
NEW QUESTION # 98
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