Question 1

Which analytic function can be used to discover peak page visits for a site over the last day?

Accepted Answer

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.

Question 2

Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

Accepted Answer

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

Question 3

Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on Linux machines by default?

Accepted Answer

The correct answer is B. /etc/otel/collector/
According to the web search results, the Splunk distribution of the OpenTelemetry Collector stores the configuration files on Linux machines in the
/etc/otel/collector/ directory by default. You can verify this by looking at the first result1, which explains how to install the Collector for Linux manually. It also
provides the locations of the default configuration file, the agent configuration file, and the gateway configuration file.
To learn more about how to install and configure the Splunk distribution of the OpenTelemetry Collector, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/opentelemetry/install-linux-manual.html 2: https://docs.splunk.com/Observability/gdi/opentelemetry.html

Question 4

Clicking a metric name from the results in metric finder displays the metric in Chart Builder. What action needs to be taken in order to save the chart created in the
UI?

Accepted Answer

According to the web search results, clicking a metric name from the results in metric finder displays the metric in Chart Builder1. Chart Builder is a tool that allows
you to create and customize charts using metrics, dimensions, and analytics functions2. To save the chart created in the UI, you need to do the following steps:
? Click the Save button on the top right corner of the Chart Builder. This will open a
dialog box where you can enter the chart name and description, and choose the dashboard where you want to save the chart.
? Enter a name and a description for your chart. The name should be descriptive and unique, and the description should explain the purpose and meaning of the
chart.
? Choose an existing dashboard from the drop-down menu, or create a new dashboard by clicking the + icon. A dashboard is a collection of charts that display
metrics and events for your services or hosts3. You can organize and share dashboards with other users in your organization using dashboard groups3.
? Click Save. This will save your chart to the selected dashboard and redirect you to the dashboard view. You can also access your saved chart from the
Dashboards menu on the left navigation bar.

Question 5

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A customer has a very dynamic infrastructure. During every deployment, all existing instances are destroyed, and new ones are created Given this deployment
model, how should a detector be created that will not send false notifications of instances being down?

Accepted Answer

According to the web search results, ephemeral infrastructure is a term that describes instances that are auto-scaled up or down, or are brought up with new code
versions and discarded or recycled when the next code version is deployed1. Splunk Observability Cloud has a feature that allows you to create detectors for
ephemeral infrastructure without sending false notifications of instances being down2. To use this feature, you need to do the following steps:
? Create the detector as usual, by selecting the metric or dimension that you want to monitor and alert on, and choosing the alert condition and severity level.
? Select Alert settings, then select Ephemeral Infrastructure. This will enable a special mode for the detector that will automatically clear alerts for instances that
are expected to be terminated.
? Enter the expected lifetime of an instance in minutes. This is the maximum amount of time that an instance is expected to live before being replaced by a new
one. For example, if your instances are replaced every hour, you can enter 60 minutes as the expected lifetime.
? Save the detector and activate it.
With this feature, the detector will only trigger alerts when an instance stops reporting a metric unexpectedly, based on its expected lifetime. If an instance stops
reporting a metric within its expected lifetime, the detector will assume that it was terminated on purpose and will not trigger an alert. Therefore, option B is correct.

Question 6

A customer is experiencing issues getting metrics from a new receiver they have configured in the OpenTelemetry Collector. How would the customer go about
troubleshooting further with the logging exporter?

Accepted Answer

The correct answer is B. Adding logging into the metrics receiver pipeline. The logging exporter is a component that allows the OpenTelemetry Collector to send
traces, metrics, and logs directly to the console. It can be used to diagnose and troubleshoot issues with telemetry received and processed by the Collector, or to
obtain samples for other purposes1
To activate the logging exporter, you need to add it to the pipeline that you want to diagnose. In this case, since you are experiencing issues with a new receiver
for metrics, you need to add the logging exporter to the metrics receiver pipeline. This will create a new plot that shows the metrics received by the Collector and
any errors or warnings that might occur1
The image that you have sent with your question shows how to add the logging exporter to the metrics receiver pipeline. You can see that the exporters section of
the metrics pipeline includes logging as one of the options. This means that the metrics received by any of the receivers listed in the receivers section will be sent
to the logging exporter as well as to any other exporters listed2
To learn more about how to use the logging exporter in Splunk Observability Cloud, you can refer to this documentation1.
1: https://docs.splunk.com/Observability/gdi/opentelemetry/components/loggingexporter.html 2: https://docs.splunk.com/Observability/gdi/opentelemetry/exposed- endpoints.html

Question 7

A customer is experiencing an issue where their detector is not sending email notifications but is generating alerts within the Splunk Observability UI. Which of the
below is the root cause?

Accepted Answer

The most likely root cause of the issue is D. The detector has a muting rule. A muting rule is a way to temporarily stop a detector from sending notifications for
certain alerts, without disabling the detector or changing its alert conditions. A muting rule can be useful when you want to avoid alert noise during planned
maintenance, testing, or other situations where you expect the metrics to deviate from normal1

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When a detector has a muting rule, it will still generate alerts within the Splunk Observability UI, but it will not send email notifications or any other types of
notifications that you have configured for the detector. You can see if a detector has a muting rule by looking at the Muting Rules tab on the detector page. You
can also create, edit, or delete muting rules from there1
To learn more about how to use muting rules in Splunk Observability Cloud, you can refer to this documentation1.

Question 8

Which of the following can be configured when subscribing to a built-in detector?

Accepted Answer

According to the web search results1, subscribing to a built-in detector is a way to receive alerts and notifications from Splunk Observability Cloud when certain
criteria are met. A built-in detector is a detector that is automatically created and configured by Splunk Observability Cloud based on the data from your
integrations, such as AWS, Kubernetes, or OpenTelemetry1. To subscribe to a built-in detector, you need to do the following steps:
? Find the built-in detector that you want to subscribe to. You can use the metric finder or the dashboard groups to locate the built-in detectors that are relevant to
your data sources1.
? Hover over the built-in detector and click the Subscribe button. This will open a dialog box where you can configure your subscription settings1.
? Choose an outbound notification channel from the drop-down menu. This is where you can specify how you want to receive the alert notifications from the built-in
detector. You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on2. You can also create a new notification channel by
clicking the + icon2.
? Enter the notification details for the selected channel. This may include your email address, Slack channel name, PagerDuty service key, webhook URL, and so
on2. You can also customize the notification message with variables and markdown formatting2.
? Click Save. This will subscribe you to the built-in detector and send you alert notifications through the chosen channel when the detector triggers or clears an
alert.
Therefore, option C is correct.

Question 9

How is it possible to create a dashboard group that no one else can edit?

Accepted Answer

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 set permissions for each dashboard group, such as who can view, edit, or manage the dashboards in the group1. To create a
dashboard group that no one else can edit, you need to do the following steps:
? Create a dashboard group as usual, by selecting Dashboard Group from the
Create menu on the navigation bar, entering a name and description, and adding dashboards to the group1.
? Select Alert settings from the Dashboard actions menu () on the top right corner of the dashboard group. This will open a dialog box where you can configure the
permissions for the dashboard group1.
? Under Write access, select Only me. This will restrict the write access to the
dashboard group to yourself only. No one else will be able to edit or delete the dashboards in the group1.
? Click Save. This will create a dashboard group that no one else can edit.

Question 10

With exceptions for transformations or timeshifts, at what resolution do detectors operate?

Accepted Answer

According to the Splunk Observability Cloud documentation1, detectors operate at the native resolution of the metric or dimension that they monitor, with some
exceptions for transformations or timeshifts. The native resolution is the frequency at which the data points are reported by the source. For example, if a metric is
reported every 10 seconds, the detector will evaluate the metric every 10 seconds. The native resolution ensures that the detector uses the most granular and
accurate data available for alerting.