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[Apr 06, 2024] Passing Key To Getting SPLK-4001 Certified Exam Engine PDF [Q11-Q31]

[Apr 06, 2024] Passing Key To Getting SPLK-4001 Certified Exam Engine PDF

SPLK-4001 Exam Dumps Pass with Updated Apr-2024 Tests Dumps

NO.11 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?

Single-instance dashboard

Machine dashboard

Multiple-service dashboard

Server dashboard

NO.12 A user wants to add a link to an existing dashboard from an alert. When they click the dimension value in the alert message, they are taken to the dashboard keeping the context. How can this be accomplished? (select all that apply)

Build a global data link.

Add a link to the Runbook URL.

Add a link to the field.

Add the link to the alert message body.

NO.13 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?

Create a temporary plot by dragging items A and B into the Analytics Explorer window.

Create a plot C using the formula (A-B) and add a scale:percent function to express the rate of change as a percentage.

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.

Create a temporary plot by clicking the Change% button in the upper-right corner of the plot showing lines A and B.

NO.14 To smooth a very spiky cpu.utilization metric, what is the correct analytic function to better see if the cpu.
utilization for servers is trending up over time?

Rate/Sec

Median

Mean (by host)

Mean (Transformation)

Explanation
The correct answer is D. Mean (Transformation).
According to the web search results, a mean transformation is an analytic function that returns the average value of a metric or a dimension over a specified time interval1. A mean transformation can be used to smooth a very spiky metric, such as cpu.utilization, by reducing the impact of outliers and noise. A mean transformation can also help to see if the metric is trending up or down over time, by showing the general direction of the average value. For example, to smooth the cpu.utilization metric and see if it is trending up over time, you can use the following SignalFlow code:
mean(1h, counters(“cpu.utilization”))
This will return the average value of the cpu.utilization counter metric for each metric time series (MTS) over the last hour. You can then use a chart to visualize the results and compare the mean values across different MTS.
Option A is incorrect because rate/sec is not an analytic function, but rather a rollup function that returns the rate of change of data points in the MTS reporting interval1. Rate/sec can be used to convert cumulative counter metrics into counter metrics, but it does not smooth or trend a metric. Option B is incorrect because median is not an analytic function, but rather an aggregation function that returns the middle value of a metric or a dimension over the entire time range1. Median can be used to find the typical value of a metric, but it does not smooth or trend a metric. Option C is incorrect because mean (by host) is not an analytic function, but rather an aggregation function that returns the average value of a metric or a dimension across all MTS with the same host dimension1. Mean (by host) can be used to compare the performance of different hosts, but it does not smooth or trend a metric.
Mean (Transformation) is an analytic function that allows you to smooth a very spiky metric by applying a moving average over a specified time window. This can help you see the general trend of the metric over time, without being distracted by the short-term fluctuations1 To use Mean (Transformation) on a cpu.utilization metric, you need to select the metric from the Metric Finder, then click on Add Analytics and choose Mean (Transformation) from the list of functions. You can then specify the time window for the moving average, such as 5 minutes, 15 minutes, or 1 hour. You can also group the metric by host or any other dimension to compare the smoothed values across different servers2 To learn more about how to use Mean (Transformation) and other analytic functions in Splunk Observability Cloud, you can refer to this documentation2.
1: https://docs.splunk.com/Observability/gdi/metrics/analytics.html#Mean-Transformation 2:
https://docs.splunk.com/Observability/gdi/metrics/analytics.html

NO.15 When creating a standalone detector, individual rules in it are labeled according to severity. Which of the choices below represents the possible severity levels that can be selected?

Info, Warning, Minor, Major, and Emergency.

Debug, Warning, Minor, Major, and Critical.

Info, Warning, Minor, Major, and Critical.

Info, Warning, Minor, Severe, and Critical.

NO.16 Where does the Splunk distribution of the OpenTelemetry Collector store the configuration files on Linux machines by default?

/opt/splunk/

/etc/otel/collector/

/etc/opentelemetry/

/etc/system/default/

NO.17 To refine a search for a metric a customer types host: test-*. What does this filter return?

Only metrics with a dimension of host and a value beginning with test-.

Error

Every metric except those with a dimension of host and a value equal to test.

Only metrics with a value of test- beginning with host.

NO.18 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)

Invoke a webhook URL.

Export to CSV.

Send an SMS message.

Send to email addresses.

NO.19 How is it possible to create a dashboard group that no one else can edit?

Ask the admin to lock the dashboard group.

Restrict the write access on the dashboard group.

Link the dashboard group to the team.

Hide the edit menu on the dashboard group.

NO.20 Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

gRPC (4000), SignalFx (9943), Fluentd (6060)

gRPC (6831), SignalFx (4317), Fluentd (9080)

gRPC (4459), SignalFx (9166), Fluentd (8956)

gRPC (4317), SignalFx (9080), Fluentd (8006)

NO.21 Which of the following is optional, but highly recommended to include in a datapoint?

Metric name

Timestamp

Value

Metric type

NO.22 Which of the following statements about adding properties to MTS are true? (select all that apply)

Properties can be set via the API.

Properties are sent in with datapoints.

Properties are applied to dimension key:value pairs and propagated to all MTS with that dimension

Properties can be set in the UI under Metric Metadata.

NO.23 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?

Create the detector. Select Alert settings, then select Auto-Clear Alerts and enter an appropriate time period.

Create the detector. Select Alert settings, then select Ephemeral Infrastructure and enter the expected lifetime of an instance.

Check the Dynamic checkbox when creating the detector.

Check the Ephemeral checkbox when creating the detector.

NO.24 Which of the following can be configured when subscribing to a built-in detector?

Alerts on team landing page.

Alerts on a dashboard.

Outbound notifications.

Links to a chart.

NO.25 Which of the following are accurate reasons to clone a detector? (select all that apply)

To modify the rules without affecting the existing detector.

To reduce the amount of billed TAPM for the detector.

To add an additional recipient to the detector’s alerts.

To explore how a detector was created without risk of changing it.

NO.26 Which of the following are ways to reduce flapping of a detector? (select all that apply)

Configure a duration or percent of duration for the alert.

Establish a reset threshold for the detector.

Enable the anti-flap setting in the detector options menu.

Apply a smoothing transformation (like a rolling mean) to the input data for the detector.

NO.27 What are the best practices for creating detectors? (select all that apply)

View data at highest resolution.

Have a consistent value.

View detector in a chart.

Have a consistent type of measurement.

NO.28 What information is needed to create a detector?

Alert Status, Alert Criteria, Alert Settings, Alert Message, Alert Recipients

Alert Signal, Alert Criteria, Alert Settings, Alert Message, Alert Recipients

Alert Signal, Alert Condition, Alert Settings, Alert Message, Alert Recipients

Alert Status, Alert Condition, Alert Settings, Alert Meaning, Alert Recipients

NO.29 Which component of the OpenTelemetry Collector allows for the modification of metadata?

Processors

Pipelines

Exporters

Receivers

NO.30 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?

Adding debug into the metrics receiver pipeline:

Adding logging into the metrics receiver pipeline:

Adding logging into the metrics exporter pipeline:

Adding debug into the metrics exporter pipeline:

NO.31 A Software Engineer is troubleshooting an issue with memory utilization in their application. They released a new canary version to production and now want to determine if the average memory usage is lower for requests with the ‘canary’ version dimension. They’ve already opened the graph of memory utilization for their service.
How does the engineer see if the new release lowered average memory utilization?

On the chart for plot A, select Add Analytics, then select MeanrTransformation. In the window that appears, select ‘version’ from the Group By field.

On the chart for plot A, scroll to the end and click Enter Function, then enter ‘A/B-l’.

On the chart for plot A, select Add Analytics, then select Mean:Aggregation. In the window that appears, select ‘version’ from the Group By field.

On the chart for plot A, click the Compare Means button. In the window that appears, type ‘version1.

The SPLK-4001 exam is intended for experienced IT professionals who have a strong understanding of cloud-based infrastructure and application monitoring. Candidates should have at least six months of experience working with Splunk in a cloud environment, as well as a solid understanding of metrics-based monitoring and analysis. SPLK-4001 exam is designed to validate the skills and knowledge necessary to use Splunk effectively in a cloud-based observability environment.

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