Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on
Linux machines by default?
B
Explanation:
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
Which of the following rollups will display the time delta between a datapoint being sent and a
datapoint being received?
C
Explanation:
According to the Splunk Observability Cloud documentation1
, lag is a rollup function that returns the
difference between the most recent and the previous data point values seen in the metric time series
reporting interval. This can be used to measure the time delta between a data point being sent and a
data point being received, as long as the data points have timestamps that reflect their send and
receive times. For example, if a data point is sent at 10:00:00 and received at 10:00:05, the lag value
for that data point is 5 seconds.
Which of the following is optional, but highly recommended to include in a datapoint?
D
Explanation:
The correct answer is D. Metric type.
A metric type is an optional, but highly recommended field that specifies the kind of measurement
that a datapoint represents. For example, a metric type can be gauge, counter, cumulative counter,
or histogram.
A metric type helps Splunk Observability Cloud to interpret and display the data
correctly1
To learn more about how to send metrics to Splunk Observability Cloud, you can refer to this
documentation2
.
1: https://docs.splunk.com/Observability/gdi/metrics/metrics.html#Metric-types 2
:
https://docs.splunk.com/Observability/gdi/metrics/metrics.html
Which analytic function can be used to discover peak page visits for a site over the last day?
A
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.
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?
B
Explanation:
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/logging-exporter.html 2
:
https://docs.splunk.com/Observability/gdi/opentelemetry/exposed-endpoints.html
What information is needed to create a detector?
C
Explanation:
According to the Splunk Observability Cloud documentation1
, to create a detector, you need the
following information:
Alert Signal: This is the metric or dimension that you want to monitor and alert on. You can select a
signal from a chart or a dashboard, or enter a SignalFlow query to define the signal.
Alert Condition: This is the criteria that determines when an alert is triggered or cleared. You can
choose from various built-in alert conditions, such as static threshold, dynamic threshold, outlier,
missing data, and so on. You can also specify the severity level and the trigger sensitivity for each
alert condition.
Alert Settings: This is the configuration that determines how the detector behaves and interacts with
other detectors. You can set the detector name, description, resolution, run lag, max delay, and
detector rules. You can also enable or disable the detector, and mute or unmute the alerts.
Alert Message: This is the text that appears in the alert notification and event feed. You can
customize the alert message with variables, such as signal name, value, condition, severity, and so
on. You can also use markdown formatting to enhance the message appearance.
Alert Recipients: This is the list of destinations where you want to send the alert notifications. You
can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on. You can also
specify the notification frequency and suppression settings.
A customer has a large population of servers. They want to identify the servers where utilization has
increased the most since last week. Which analytics function is needed to achieve this?
C
Explanation:
The correct answer is C. Timeshift.
According to the Splunk Observability Cloud documentation1
, timeshift is an analytic function that
allows you to compare the current value of a metric with its value at a previous time interval, such as
an hour ago or a week ago. You can use the timeshift function to measure the change in a metric
over time and identify trends, anomalies, or patterns. For example, to identify the servers where
utilization has increased the most since last week, you can use the following SignalFlow code:
timeshift(1w, counters(“server.utilization”))
This will return the value of the server.utilization counter metric for each server one week ago. You
can then subtract this value from the current value of the same metric to get the difference in
utilization. You can also use a chart to visualize the results and sort them by the highest difference in
utilization.
The alert recipients tab specifies where notification messages should be sent when alerts are
triggered or cleared. Which of the below options can be used? (select all that apply)
ACD
Explanation:
The alert recipients tab specifies where notification messages should be sent when alerts are
triggered or cleared. The options that can be used are:
Invoke a webhook URL. This option allows you to send a HTTP POST request to a custom URL that can
perform various actions based on the alert information.
For example, you can use a webhook to
create a ticket in a service desk system, post a message to a chat channel, or trigger another
workflow1
Send an SMS message. This option allows you to send a text message to one or more phone numbers
when an alert is triggered or cleared.
You can customize the message content and format using
variables and templates2
Send to email addresses. This option allows you to send an email notification to one or more
recipients when an alert is triggered or cleared. You can customize the email subject, body, and
attachments using variables and templates.
You can also include information from search results, the
search job, and alert triggering in the email3
Therefore, the correct answer is A, C, and D.
1: https://docs.splunk.com/Documentation/Splunk/latest/Alert/Webhooks 2:
https://docs.splunk.com/Documentation/Splunk/latest/Alert/SMSnotification 3
:
https://docs.splunk.com/Documentation/Splunk/latest/Alert/Emailnotification
With exceptions for transformations or timeshifts, at what resolution do detectors operate?
D
Explanation:
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.
Which of the following are true about organization metrics? (select all that apply)
ACD
Explanation:
The correct answer is A, C, and D. Organization metrics give insights into system usage, system limits,
data ingested and token quotas. Organization metrics are included for free. A user can plot and alert
on them like metrics they send to Splunk Observability Cloud.
Organization metrics are a set of metrics that Splunk Observability Cloud provides to help you
measure your organization’s usage of the platform. They include metrics such as:
Ingest metrics: Measure the data you’re sending to Infrastructure Monitoring, such as the number of
data points you’ve sent.
App usage metrics: Measure your use of application features, such as the number of dashboards in
your organization.
Integration metrics: Measure your use of cloud services integrated with your organization, such as
the number of calls to the AWS CloudWatch API.
Resource metrics: Measure your use of resources that you can specify limits for, such as the number
of custom metric time series (MTS) you’ve created1
Organization metrics are not charged and do not count against any system limits. You can view them
in built-in charts on the Organization Overview page or in custom charts using the Metric Finder.
You
can also create alerts based on organization metrics to monitor your usage and performance1
To learn more about how to use organization metrics in Splunk Observability Cloud, you can refer to
this documentation1
.
: https://docs.splunk.com/observability/admin/org-metrics.html