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| Section | Weight | Objectives |
|---|---|---|
| Built-in Monitoring Content | 10% | - Using pre-built dashboards and navigators - Content packs and quick-start monitoring |
| Dashboards & Operational Efficiency | 10% | - Reducing alert fatigue and optimizing monitoring - Designing clear, performant dashboards |
| Analytics & Insights | 10% | - Aggregation, filtering, and transformation functions - Correlation and pattern detection |
| Visualizing Metrics | 20% | - Using SignalFlow for custom queries - Visualization best practices and effective communication - Creating and configuring charts, graphs, and time-series |
| Alerting with Detectors | 15% | - Common use cases: latency, saturation, errors - Notification rules and incident response - Threshold, anomaly, and multi-condition detectors |
| Metrics Concepts | 20% | - Data retention and resolution settings - Dimensions, time-series data, and cardinality - Metric types: Gauges, Counters, Histograms, Summaries |
| Data Collection & Ingestion | 15% | - Integration with Kubernetes and cloud environments - Signal flow and data processing pipeline - OpenTelemetry configuration and deployment |
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NEW QUESTION # 79
A customer wants to share a collection of charts with their entire SRE organization. What feature of Splunk Observability Cloud makes this possible?
Answer: D
Explanation:
Explanation
According to the web search results, dashboard groups are a feature of Splunk Observability Cloud that allows you to organize and share dashboards with other users in your organization1. You can create dashboard groups based on different criteria, such as service, team, role, or topic. You can also set permissions for each dashboard group, such as who can view, edit, or manage the dashboards in the group. Dashboard groups make it possible to share a collection of charts with your entire SRE organization, or any other group of users that you want to collaborate with.
NEW QUESTION # 80
Which analytic function can be used to discover peak page visits for a site over the last day?
Answer: D
Explanation:
Explanation
According to the Splunk Observability Cloud documentation1, the maximum function is an analytic function that returns the highest value of a metric or a dimension over a specified time interval. The maximum function can be used as a transformation or an aggregation. A transformation applies the function to each metric time series (MTS) individually, while an aggregation applies the function to all MTS and returns a single value. For example, to discover the peak page visits for a site over the last day, you can use the following SignalFlow code:
maximum(24h, counters("page.visits"))
This will return the highest value of the page.visits counter metric for each MTS over the last 24 hours. You can then use a chart to visualize the results and identify the peak page visits for each MTS.
NEW QUESTION # 81
What does the "Resource Running Out" detector condition type help predict?
Answer: D
Explanation:
The Resource Running Out condition uses trend analysis to predict when a resource, such as disk space, will be exhausted based on its current rate of consumption, enabling proactive alerts before an outage occurs.
NEW QUESTION # 82
Which of the following are correct ports for the specified components in the OpenTelemetry Collector?
Answer: A
Explanation:
The correct answer is D. gRPC (4317), SignalFx (9080), Fluentd (8006).
According to the web search results, these are the default ports for the corresponding components in the OpenTelemetry Collector. You can verify this by looking at the table of exposed ports and endpoints in the first result1. You can also see the agent and gateway configuration files in the same result for more details.
1: https://docs.splunk.com/observability/gdi/opentelemetry/exposed-endpoints.html
NEW QUESTION # 83
Which component of the OTel Collector is responsible for receiving telemetry data from instrumented applications?
Answer: B
NEW QUESTION # 84
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