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| Section | Weight | Objectives |
|---|---|---|
| Monitor Using Built-in Content | 10% | - Use the Cluster Analyzer to pinpoint the root of some problems - Interact with data using built-in content - Subscribe to alerts - 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 |
| Create Efficient Dashboards and Alerts | 10% | - View dashboard happenings - Include instructions on interfaces - Create single-instance dashboard panels - Configure personal information linkages |
| Get Metrics In with OpenTelemetry | 10% | - Edit the configuration - General OpenTelemetry Concepts - Deploy the OTel Collector on Linux - Troubleshooting common errors - Configure the OTel Collector |
| Intro to Alerting on Metrics using Detectors | 10% | - Clone an existing detector - Make a muting rule - Make a solo detector - Make the detector from a chart |
| Metrics Concepts | 15% | - List the components of a datapoint - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - Data resolution, rollups - Discriminate between types of metadata |
| Introduction to Metric Visualization | 15% | - Differentiate between several chart visualization types - Visualize a measure in a chart - Create widgets and showcase groups - Analyze data in charts - Create charts and dashboards - Use rollups and analytical tools correctly - Look for metrics |
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NEW QUESTION # 22
What happens when the limit of allowed dimensions is exceeded for an MTS?
Answer: A
Explanation:
According to the web search results, dimensions are metadata in the form of key-value pairs that monitoring software sends in along with the metrics. The set of metric time series (MTS) dimensions sent during ingest is used, along with the metric name, to uniquely identify an MTS.
Splunk Observability Cloud has a limit of 36 unique dimensions per MTS. If the limit of allowed dimensions is exceeded for an MTS, the additional dimensions are dropped and not stored or indexed by Observability Cloud. This means that the data point is still ingested, but without the extra dimensions. Therefore, option A is correct.
NEW QUESTION # 23
A DevOps engineer wants to determine if the latency their application experiences is growing fester after a new software release a week ago. They have already created two plot lines, A and B, that represent the current latency and the latency a week ago, respectively. How can the engineer use these two plot lines to determine the rate of change in latency?
Answer: D
Explanation:
The correct answer is C. Create a plot C using the formula (A/B-l) and add a scale: 100 function to express the rate of change as a percentage.
To calculate the rate of change in latency, you need to compare the current latency (plot A) with the latency a week ago (plot B). One way to do this is to use the formula (A/B-l), which gives you the ratio of the current latency to the previous latency minus one. This ratio represents how much the current latency has increased or decreased relative to the previous latency. For example, if the current latency is 200 ms and the previous latency is 100 ms, then the ratio is (200/100-l) = 1, which means the current latency is 100% higher than the previous latency1 To express the rate of change as a percentage, you need to multiply the ratio by 100. You can do this by adding a scale: 100 function to the formula. This function scales the values of the plot by a factor of 100. For example, if the ratio is 1, then the scaled value is 100%2 To create a plot C using the formula (A/B-l) and add a scale: 100 function, you need to follow these steps:
Select plot A and plot B from the Metric Finder.
Click on Add Analytics and choose Formula from the list of functions.
In the Formula window, enter (A/B-l) as the formula and click Apply.
Click on Add Analytics again and choose Scale from the list of functions.
In the Scale window, enter 100 as the factor and click Apply.
You should see a new plot C that shows the rate of change in latency as a percentage.
To learn more about how to use formulas and scale functions in Splunk Observability Cloud, you can refer to these documentations34.
1: https://www.mathsisfun.com/numbers/percentage-change.html 2: https://docs.splunk.com/Observability/gdi/metrics/analytics.html#Scale 3: https://docs.splunk.com/Observability/gdi/metrics/analytics.html#Formula 4: https://docs.splunk.com/Observability/gdi/metrics/analytics.html#Scale
NEW QUESTION # 24
When installing OpenTelemetry Collector, which error message is indicative that there is a misconfigured realm or access token?
Answer: A
Explanation:
According to the web search results, a 401 (UNAUTHORIZED) error message is indicative that there is a misconfigured realm or access token when installing OpenTelemetry Collector. A 401 (UNAUTHORIZED) error message means that the request was not authorized by the server due to invalid credentials. A realm is a parameter that specifies the scope of protection for a resource, such as a Splunk Observability Cloud endpoint. An access token is a credential that grants access to a resource, such as a Splunk Observability Cloud API. If the realm or the access token is misconfigured, the request to install OpenTelemetry Collector will be rejected by the server with a 401 (UNAUTHORIZED) error message.
NEW QUESTION # 25
In the Splunk distribution of the OpenTelemetry Collector, what is the difference between the agent_config.yaml and the splunk-otel-collector.conf files?
Answer: D
Explanation:
In the Splunk distribution of the OpenTelemetry Collector, splunk-otel-collector.conf defines the OpenTelemetry pipeline, including receivers, processors, and exporters, while agent_config.yaml is used to configure Splunk-specific settings such as endpoint URLs and access tokens.
NEW QUESTION # 26
What is the limit on the number of properties that an MTS can have?
Answer: C
Explanation:
According to the web search results, the limit on the number of properties that an MTS can have is 64. A property is a key-value pair that you can assign to a dimension of an existing MTS to add more context to the metrics. For example, you can add the property use: QA to the host dimension of your metrics to indicate that the host is used for QA.
Properties are different from dimensions, which are key-value pairs that are sent along with the metrics at the time of ingest. Dimensions, along with the metric name, uniquely identify an MTS.
The limit on the number of dimensions per MTS is 36.
NEW QUESTION # 27
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