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Pass Guaranteed Quiz SPLK-4001 - Marvelous Splunk O11y Cloud Certified Metrics U

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Pass Guaranteed Quiz SPLK-4001 - Marvelous Splunk O11y Cloud Certified Metrics U

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We update our Splunk SPLK-4001 exam dumps over time and mark the changes online. Enroll in the Splunk SPLK-4001 exam dumps and start your preparation with Splunk SPLK-4001 practice questions. We will provide you with the information covered in the current test and incorporate materials that originate from Splunk SPLK-4001 Exam Dumps. You will get a handful of knowledge about topics that will benefit your professional career.
The Splunk SPLK-4001 Exam covers a wide range of topics, including understanding how to create and manipulate metrics in Splunk, configuring and deploying metrics in a cloud infrastructure, using metrics for performance tuning, and integrating metrics with other monitoring tools. Candidates are also tested on their ability to analyze and interpret data, troubleshoot issues in the cloud, and deliver insights to stakeholders.
Splunk SPLK-4001 test cram - Splunk O11y Cloud Certified Metrics UserWe are all well aware that a major problem in the industry is that there is a lack of quality study materials. Our SPLK-4001 braindumps provides you everything you will need to take a certification examination. Details are researched and produced by SPLK-4001 Dumps Experts who are constantly using industry experience to produce precise, logical verify for the test. You may get SPLK-4001 exam dumps from different web sites or books, but logic is the key.
The SPLK-4001 exam is an online exam that consists of 60 multiple-choice questions. Test-takers have 90 minutes to complete the exam, and a passing score of 70% or higher is required to earn certification. SPLK-4001 Exam is designed to be challenging, and individuals are encouraged to prepare thoroughly before attempting it.
Splunk O11y Cloud Certified Metrics User Sample Questions (Q55-Q60):NEW QUESTION # 55
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)
  • A. Export to CSV.
  • B. Invoke a webhook URL.
  • C. Send an SMS message.
  • D. Send to email addresses.
Answer: B,C,D
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/Document ... test/Alert/Webhooks 2: https://docs.splunk.com/Document ... ert/SMSnotification 3: https://docs.splunk.com/Document ... t/Emailnotification

NEW QUESTION # 56
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?
  • A. The new signals will be reflected in the original detector.
  • B. The new signals will not be added to the original detector.
  • C. The new signals will be reflected in the original chart.
  • D. You can only monitor one of the new signals.
Answer: B
Explanation:
According to the Splunk O11y Cloud Certified Metrics User Track document1, cloning a detector creates a copy of the detector that you can modify without affecting the original detector. You can change the metric, filter, and signal settings of the cloned detector. However, the new signals that you add to the cloned detector will not be reflected in the original detector, nor in the original chart that the detector was based on. Therefore, option D is correct.
Option A is incorrect because the new signals will not be reflected in the original detector. Option B is incorrect because the new signals will not be reflected in the original chart. Option C is incorrect because you can monitor all of the new signals that you add to the cloned detector.

NEW QUESTION # 57
With exceptions for transformations or timeshifts, at what resolution do detectors operate?
  • A. The resolution of the dashboard
  • B. The resolution of the chart
  • C. 10 seconds
  • D. Native resolution
Answer: D
Explanation:
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.

NEW QUESTION # 58
What information is needed to create a detector?
  • A. Alert Signal, Alert Condition, Alert Settings, Alert Message, Alert Recipients
  • B. Alert Status, Alert Condition, Alert Settings, Alert Meaning, Alert Recipients
  • C. Alert Status, Alert Criteria, Alert Settings, Alert Message, Alert Recipients
  • D. Alert Signal, Alert Criteria, Alert Settings, Alert Message, Alert Recipients
Answer: A
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.

NEW QUESTION # 59
What constitutes a single metrics time series (MTS)?
  • A. A set of data points that use different dimensions but the same metric name.
  • B. A set of data points that all have the same metric name and list of dimensions.
  • C. A series of timestamps that all reflect the same metric.
  • D. A set of metrics that are ordered in series based on timestamp.
Answer: B
Explanation:
Explanation
The correct answer is B. A set of data points that all have the same metric name and list of dimensions.
A metric time series (MTS) is a collection of data points that have the same metric and the same set of dimensions. For example, the following sets of data points are in three separate MTS:
MTS1: Gauge metric cpu.utilization, dimension "hostname": "host1" MTS2: Gauge metric cpu.utilization, dimension "hostname": "host2" MTS3: Gauge metric memory.usage, dimension "hostname": "host1" A metric is a numerical measurement that varies over time, such as CPU utilization or memory usage. A dimension is a key-value pair that provides additional information about the metric, such as the hostname or the location. A data point is a combination of a metric, a dimension, a value, and a timestamp1

NEW QUESTION # 60
......
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