[Q32-Q54] Pass Splunk SPLK-4001 Exam in First Attempt Guaranteed [Jun-2024] : Free Exam Dumps Collection : http://free.examcollectionpass.com

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[Q32-Q54] Pass Splunk SPLK-4001 Exam in First Attempt Guaranteed [Jun-2024]

Pass Splunk SPLK-4001 Exam in First Attempt Guaranteed [Jun-2024]

Exam Sure Pass Splunk Certification with SPLK-4001 exam questions

Splunk SPLK-4001 exam is designed for individuals who are interested in obtaining the Splunk O11y Cloud Certified Metrics User certification. SPLK-4001 exam is intended for those who have a strong understanding of Splunk and its capabilities, as well as experience working with metrics data. Splunk O11y Cloud Certified Metrics User certification is ideal for professionals who want to demonstrate their expertise in using Splunk to monitor and analyze metrics data in cloud environments.

The SPLK-4001 certification is highly valued in the IT industry, as it demonstrates a candidate's proficiency in using Splunk's Observability Cloud. It is a globally recognized certification that can help professionals advance their careers in cloud monitoring and analysis. By passing the SPLK-4001 exam, candidates can prove their expertise in using Splunk's Observability Cloud to monitor their organization's infrastructure and ensure its smooth operation. Splunk O11y Cloud Certified Metrics User certification is ideal for IT professionals who want to enhance their skills and knowledge in cloud monitoring and analysis.

QUESTION 32
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.

QUESTION 33
Which of the following are supported rollup functions in Splunk Observability Cloud?

average, latest, lag, min, max, sum, rate

std_dev, mean, median, mode, min, max

sigma, epsilon, pi, omega, beta, tau

1min, 5min, 10min, 15min, 30min

QUESTION 34
A customer is sending data from a machine that is over-utilized. Because of a lack of system resources, datapoints from this machine are often delayed by up to 10 minutes. Which setting can be modified in a detector to prevent alerts from firing before the datapoints arrive?

Max Delay

Duration

Latency

Extrapolation Policy

QUESTION 35
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?

The detector has an incorrect alert rule.

The detector has an incorrect signal,

The detector is disabled.

The detector has a muting rule.

QUESTION 36
A customer wants to share a collection of charts with their entire SRE organization. What feature of Splunk Observability Cloud makes this possible?

Public dashboards

Dashboard groups

Chart exporter

Shared charts

QUESTION 37
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

QUESTION 38
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.

QUESTION 39
Which of the following chart visualization types are unaffected by changing the time picker on a dashboard?
(select all that apply)

Single Value

Heatmap

Line

List

QUESTION 40
Which of the following are required in the configuration of a data point? (select all that apply)

Metric Name

Metric Type

Timestamp

Value

QUESTION 41
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?

The new signals will be reflected in the original detector.

The new signals will be reflected in the original chart.

You can only monitor one of the new signals.

The new signals will not be added to the original detector.

QUESTION 42
Which of the following is optional, but highly recommended to include in a datapoint?

Metric name

Timestamp

Value

Metric type

QUESTION 43
Given that the metric demo. trans. count is being sent at a 10 second native resolution, which of the following is an accurate description of the data markers displayed in the chart below?

Each data marker represents the average hourly rate of API calls.

Each data marker represents the 10 second delta between counter values.

Each data marker represents the average of the sum of datapoints over the last minute, averaged over the hour.

Each data marker represents the sum of API calls in the hour leading up to the data marker.

QUESTION 44
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.

QUESTION 45
The Sum Aggregation option for analytic functions does which of the following?

Calculates the number of MTS present in the plot.

Calculates 1/2 of the values present in the input time series.

Calculates the sum of values present in the input time series across the entire environment or per group.

Calculates the sum of values per time series across a period of time.

QUESTION 46
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.

QUESTION 47
Which of the following aggregate analytic functions will allow a user to see the highest or lowest n values of a metric?

Maximum / Minimum

Best/Worst

Exclude / Include

Top / Bottom

QUESTION 48
Which component of the OpenTelemetry Collector allows for the modification of metadata?

Processors

Pipelines

Exporters

Receivers

QUESTION 49
A customer operates a caching web proxy. They want to calculate the cache hit rate for their service. What is the best way to achieve this?

Percentages and ratios

Timeshift and Bottom N

Timeshift and Top N

Chart Options and metadata

QUESTION 50
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.

QUESTION 51
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.

QUESTION 52
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.

QUESTION 53
What happens when the limit of allowed dimensions is exceeded for an MTS?

The additional dimensions are dropped.

The datapoint is averaged.

The datapoint is updated.

The datapoint is dropped.

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