Tom Smith Tom Smith's Profile Page

Tom Smith Tom Smith

0 Course Enrolled 0 Course Completed

Biography

Pass Guaranteed Quiz 2025 SPLK-4001: Splunk O11y Cloud Certified Metrics User Unparalleled Valid Test Answers

P.S. Free & New SPLK-4001 dumps are available on Google Drive shared by PDF4Test: https://drive.google.com/open?id=1eMKq21jgOMul-fYvrPzayJH8ehwPUcB8

Useful SPLK-4001 exam prep is subservient to your development. To add up your interests and simplify some difficult points, our experts try their best to design our SPLK-4001 training material and help you understand the SPLK-4001 study guide better. And our experts generalize the knowledge of the exam into our products showing in three versions: the PDF, the Software and the APP online. You can choose your most desirable way to practice our SPLK-4001 Preparation engine on the daily basis.

Splunk SPLK-4001 Certification Exam is a vendor-neutral certification that is recognized across the industry. It is an excellent way for individuals to demonstrate their skills and knowledge in using Splunk Cloud to monitor and analyze metrics data, which is becoming increasingly important as organizations move to the cloud. Splunk O11y Cloud Certified Metrics User certification exam is designed to be challenging, but with the right preparation, candidates can pass the exam and demonstrate their expertise in using Splunk Cloud to monitor and optimize system performance.

>> SPLK-4001 Valid Test Answers <<

SPLK-4001 PDF Dumps Files & New SPLK-4001 Braindumps Ebook

It is proved that if you study with our SPLK-4001 exam questions for 20 to 30 hours, then you will be able to pass the SPLK-4001 exam with confidence. Because users only need to spend little hours on the SPLK-4001 quiz guide, our learning materials will help users to learn all the difficulties of the test site, to help users pass the qualifying examination and obtain the qualification certificate. If you think that time is important to you, try our SPLK-4001 Learning Materials and it will save you a lot of time.

Splunk O11y Cloud Certified Metrics User Sample Questions (Q44-Q49):

NEW QUESTION # 44
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?

A. Standard deviation
B. Rate
C. Sum transformation
D. Tlmeshift

Answer: D

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.

NEW QUESTION # 45
Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

A. gRPC (4317), SignalFx (9080), Fluentd (8006)
B. gRPC (4459), SignalFx (9166), Fluentd (8956)
C. gRPC (4000), SignalFx (9943), Fluentd (6060)
D. gRPC (6831), SignalFx (4317), Fluentd (9080)

Answer: A

Explanation:
Explanation
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

NEW QUESTION # 46
What is one reason a user of Splunk Observability Cloud would want to subscribe to an alert?

A. To determine the root cause of the Issue triggering the detector.
B. To perform transformations on the data used by the detector.
C. To receive an email notification when a detector is triggered.
D. To be able to modify the alert parameters.

Answer: C

Explanation:
One reason a user of Splunk Observability Cloud would want to subscribe to an alert is C. To receive an email notification when a detector is triggered.
A detector is a component of Splunk Observability Cloud that monitors metrics or events and triggers alerts when certain conditions are met. A user can create and configure detectors to suit their monitoring needs and goals1 A subscription is a way for a user to receive notifications when a detector triggers an alert. A user can subscribe to a detector by entering their email address in the Subscription tab of the detector page. A user can also unsubscribe from a detector at any time2 When a user subscribes to an alert, they will receive an email notification that contains information about the alert, such as the detector name, the alert status, the alert severity, the alert time, and the alert message. The email notification also includes links to view the detector, acknowledge the alert, or unsubscribe from the detector2 To learn more about how to use detectors and subscriptions in Splunk Observability Cloud, you can refer to these documentations12.
1: https://docs.splunk.com/Observability/alerts-detectors-notifications/detectors.html 2: https://docs.splunk.com/Observability/alerts-detectors-notifications/subscribe-to-detectors.html

NEW QUESTION # 47
In the Splunk distribution of the OpenTelemetry Collector, what is the difference between the agent_config.yaml and the splunk-otel-collector.conf files?

A. agent_config.yaml configures the gateway's address and splunk-otel-collector.conf sets the memory limits for the collector.
B. agent_config.yaml defines the OpenTelemetry pipeline, and splunk-otel-collector.conf sets endpoint URLs and access tokens.
C. splunk-otel-collector.conf defines the OpenTelemetry pipeline, and agent_config.yaml sets endpoint URLs and access tokens.
D. splunk-otel-collector.conf configures processors and agent_config.yaml sets the memory limits for the collector.

Answer: C

NEW QUESTION # 48
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?

A. Median
B. Mean (by host)
C. Mean (Transformation)
D. Rate/Sec

Answer: C

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

NEW QUESTION # 49
......

Our SPLK-4001 exam braindumps are set high standards for your experience. That is the reason why our SPLK-4001 training questions gain well brand recognition and get attached with customers all these years around the world. Besides, our SPLK-4001 learning questions are not only high effective but priced reasonably. Their prices are acceptable for everyone and help you qualify yourself as and benefit your whole life.

SPLK-4001 PDF Dumps Files: https://www.pdf4test.com/SPLK-4001-dump-torrent.html

P.S. Free & New SPLK-4001 dumps are available on Google Drive shared by PDF4Test: https://drive.google.com/open?id=1eMKq21jgOMul-fYvrPzayJH8ehwPUcB8