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| Section | Weight | Objectives |
|---|---|---|
| Metrics Concepts | 15% | - Define components of the Splunk IM Data Model, Metrics, MTS, datapoints - List the components of a datapoint - Data resolution, rollups - Discriminate between types of metadata |
| Get Metrics In with OpenTelemetry | 10% | - Configure the OTel Collector - Troubleshooting common errors - Edit the configuration - Deploy the OTel Collector on Linux - General OpenTelemetry Concepts |
| 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 |
| Create Efficient Dashboards and Alerts | 10% | - View dashboard happenings - Include instructions on interfaces - Configure personal information linkages - Create single-instance dashboard panels |
| Introduction to Metric Visualization | 15% | - Use rollups and analytical tools correctly - Look for metrics - Differentiate between several chart visualization types - Analyze data in charts - Create charts and dashboards - Visualize a measure in a chart - Create widgets and showcase groups |
| Monitor Using Built-in Content | 10% | - 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 - Use the Cluster Analyzer to pinpoint the root of some problems - Interact with data using built-in content - Subscribe to alerts |
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NEW QUESTION # 68
What is the limit on the number of properties that an MTS can have?
Answer: D
Explanation:
The correct answer is A. 64.
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 QA1 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 362 To learn more about how to use properties and dimensions in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html#Custom-properties 2: https://docs.splunk.com/Observability/metrics-and-metadata/metrics-dimensions-mts.html
NEW QUESTION # 69
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: B
Explanation:
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. Therefore, option D is correct.
Option A is incorrect because the new signals will not be reflected in the original detector. Option B is incorrect because the new signals will not be reflected in the original chart. Option C is incorrect because you can monitor all of the new signals that you add to the cloned detector.
NEW QUESTION # 70
A customer wants to share a collection of charts with their entire SRE organization. What feature of Splunk Observability Cloud makes this possible?
Answer: C
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 # 71
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: D
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.
NEW QUESTION # 72
What constitutes a single metrics time series (MTS)?
Answer: D
Explanation:
Explanation
The correct answer is B. A set of data points that all have the same metric name and list of dimensions.
A metric time series (MTS) is a collection of data points that have the same metric and the same set of dimensions. For example, the following sets of data points are in three separate MTS:
MTS1: Gauge metric cpu.utilization, dimension "hostname": "host1" MTS2: Gauge metric cpu.utilization, dimension "hostname": "host2" MTS3: Gauge metric memory.usage, dimension "hostname": "host1" A metric is a numerical measurement that varies over time, such as CPU utilization or memory usage. A dimension is a key-value pair that provides additional information about the metric, such as the hostname or the location. A data point is a combination of a metric, a dimension, a value, and a timestamp1
NEW QUESTION # 73
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