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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Intro to Alerting on Metrics using Detectors | 10% | - Make the detector from a chart - Make a muting rule - Make a solo detector - Clone an existing detector |
| Topic 2: Create Efficient Dashboards and Alerts | 10% | - Create single-instance dashboard panels - View dashboard happenings - Include instructions on interfaces - Configure personal information linkages |
| Topic 3: Introduction to Metric Visualization | 15% | - Create widgets and showcase groups - Look for metrics - Visualize a measure in a chart - Analyze data in charts - Create charts and dashboards - Differentiate between several chart visualization types - Use rollups and analytical tools correctly |
| Topic 4: Monitor Using Built-in Content | 10% | - Interact with data using built-in content - Correctly interpret data in charts based on rollups, analytic functions, and chart resolution - Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers - Use the Cluster Analyzer to pinpoint the root of some problems - Subscribe to alerts |
| Topic 5: Get Metrics In with OpenTelemetry | 10% | - Troubleshooting common errors - Deploy the OTel Collector on Linux - Configure the OTel Collector - General OpenTelemetry Concepts - Edit the configuration |
| Topic 6: Metrics Concepts | 15% | - List the components of a datapoint - Data resolution, rollups - Discriminate between types of metadata - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints |
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NEW QUESTION # 60
Interpreting data in charts can be affected by which of the following? (select all that apply)
Answer: A,B,D
NEW QUESTION # 61
A customer operates a caching web proxy. They want to calculate the cache hit rate for their service. What is the best way to achieve this?
Answer: C
Explanation:
According to the Splunk O11y Cloud Certified Metrics User Track document1, percentages and ratios are useful for calculating the proportion of one metric to another, such as cache hits to cache misses, or successful requests to failed requests. You can use the percentage() or ratio() functions in SignalFlow to compute these values and display them in charts. For example, to calculate the cache hit rate for a service, you can use the following SignalFlow code:
percentage(counters("cache.hits"), counters("cache.misses"))
This will return the percentage of cache hits out of the total number of cache attempts. You can also use the ratio() function to get the same result, but as a decimal value instead of a percentage.
ratio(counters("cache.hits"), counters("cache.misses"))
NEW QUESTION # 62
When writing a detector with a large number of MTS, such as memory. free in a deployment with
30,000 hosts, it is possible to exceed the cap of MTS that can be contained in a single plot.
Which of the choices below would most likely reduce the number of MTS below the plot cap?
Answer: C
Explanation:
Add a filter to narrow the scope of the measurement. A filter is a way to reduce the number of metric time series (MTS) that are displayed on a chart or used in a detector. A filter specifies one or more dimensions and values that the MTS must have in order to be included. For example, if you want to monitor the memory.free metric only for hosts that belong to a certain cluster, you can add a filter like cluster:my-cluster to the plot or detector. This will exclude any MTS that do not have the cluster dimension or have a different value for it. Adding a filter can help you avoid exceeding the plot cap, which is the maximum number of MTS that can be contained in a single plot. The plot cap is 100,000 by default, but it can be changed by contacting Splunk Support.
NEW QUESTION # 63
When a user selects the "New detector from chart" feature, which of the following configurations is predefined in the detector?
Answer: D
Explanation:
The "New detector from chart" feature automatically predefines the alert signal in the detector based on the metric or data visualized in the chart. Other configurations like conditions, recipients, and alert settings need to be set manually.
NEW QUESTION # 64
An SRE creates a new detector to receive an alert when server latency is higher than 260 milliseconds.
Latency below 260 milliseconds is healthy for their service. The SRE creates a New Detector with a Custom Metrics Alert Rule for latency and sets a Static Threshold alert condition at 260ms.
How can the number of alerts be reduced?
Answer: A
Explanation:
Explanation
According to the Splunk O11y Cloud Certified Metrics User Track document1, trigger sensitivity is a setting that determines how long a signal must remain above or below a threshold before an alert is triggered. By default, trigger sensitivity is set to Immediate, which means that an alert is triggered as soon as the signal crosses the threshold. This can result in a lot of alerts, especially if the signal fluctuates frequently around the threshold value. To reduce the number of alerts, you can adjust the trigger sensitivity to a longer duration, such as 1 minute, 5 minutes, or 15 minutes. This means that an alert is only triggered if the signal stays above or below the threshold for the specified duration. This can help filter out noise and focus on more persistent issues.
NEW QUESTION # 65
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