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| Section | Weight | Objectives |
|---|---|---|
| Visualizing Metrics | 20% | - Visualization best practices and effective communication - Using SignalFlow for custom queries - Creating and configuring charts, graphs, and time-series |
| Analytics & Insights | 10% | - Correlation and pattern detection - Aggregation, filtering, and transformation functions |
| Alerting with Detectors | 15% | - Threshold, anomaly, and multi-condition detectors - Common use cases: latency, saturation, errors - Notification rules and incident response |
| Dashboards & Operational Efficiency | 10% | - Designing clear, performant dashboards - Reducing alert fatigue and optimizing monitoring |
| Data Collection & Ingestion | 15% | - OpenTelemetry configuration and deployment - Integration with Kubernetes and cloud environments - Signal flow and data processing pipeline |
| Built-in Monitoring Content | 10% | - Using pre-built dashboards and navigators - Content packs and quick-start monitoring |
| Metrics Concepts | 20% | - Metric types: Gauges, Counters, Histograms, Summaries - Data retention and resolution settings - Dimensions, time-series data, and cardinality |
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NEW QUESTION # 120
An SRE came across an existing detector that is a good starting point for a detector they want to create. They clone the detector, update the metric, and add multiple new signals. As a result of the cloned detector, which of the following is true?
Answer: D
Explanation:
According to the Splunk O11y Cloud Certified Metrics User Track document1, cloning a detector creates a copy of the detector that you can modify without affecting the original detector. You can change the metric, filter, and signal settings of the cloned detector. However, the new signals that you add to the cloned detector will not be reflected in the original detector, nor in the original chart that the detector was based on.
NEW QUESTION # 121
Which of the following best describes a Metric Time Series (MTS) in Splunk Observability Cloud?
Answer: C
Explanation:
An MTS is defined as the unique combination of a metric name plus a specific set of dimension key-value pairs. Each unique combination creates a distinct time series within the metric.
NEW QUESTION # 122
Which analytic function can be used to discover peak page visits for a site over the last day?
Answer: A
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 # 123
One server in a customer's data center is regularly restarting due to power supply issues. What type of dashboard could be used to view charts and create detectors for this server?
Answer: C
Explanation:
According to the Splunk O11y Cloud Certified Metrics User Track document1, a single-instance dashboard is a type of dashboard that displays charts and information for a single instance of a service or host. You can use a single-instance dashboard to monitor the performance and health of a specific server, such as the one that is restarting due to power supply issues. You can also create detectors for the metrics that are relevant to the server, such as CPU usage, memory usage, disk usage, and uptime. Therefore, option A is correct.
NEW QUESTION # 124
Splunk Observability Cloud includes which of the following out-of-the-box tools to help users interact with data? (Choose all that apply.)
Answer: A,B,C,D
Explanation:
Splunk Observability Cloud provides detectors for alerting, Infrastructure Navigators and Infrastructure Maps for exploring infrastructure health and relationships, and Dashboard Groups for organizing dashboards that help users interact with and analyze their data.
NEW QUESTION # 125
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