TYPES OF LEAD2PASSEDSPLUNK SPLK-1002 EXAM QUESTIONS

Types of Lead2PassedSplunk SPLK-1002 Exam Questions

Types of Lead2PassedSplunk SPLK-1002 Exam Questions

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The SPLK-1002 certification exam is an online, proctored exam that consists of 60 multiple-choice questions. Candidates have 90 minutes to complete the exam and must score 70% or higher to pass. SPLK-1002 exam can be taken at any time from any location with a reliable internet connection, making it convenient for busy professionals.

Splunk SPLK-1002 certification exam is a highly recognized certification exam in the IT industry. SPLK-1002 Exam is designed to evaluate the candidate's knowledge and expertise in using Splunk. Splunk is a popular platform for collecting, analyzing, and visualizing machine-generated data. The SPLK-1002 certification exam is intended for individuals who have a deep understanding of Splunk and its use cases.

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Quiz Professional SPLK-1002 - Splunk Core Certified Power User Exam Exam Passing Score

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These are the following steps for registering the SPLK-1002 exam:

  • Step 1: Visit to splk-1002 Exam Registration
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  • Step 3: Search for SPLK-1002 Certifications Exam
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Splunk Core Certified Power User Exam Sample Questions (Q199-Q204):

NEW QUESTION # 199
When using timechart, how many fields can be listed after a by clause?

  • A. because _time is already implied as the x-axis.
  • B. There is no limit specific to timechart.
  • C. because one field would represent the x-axis and the other would represent the y-axis.
  • D. because timechart doesn't support using a by clause.

Answer: A

Explanation:
The timechart command is used to create a time-series chart of statistical values based on your search results2. You can use the timechart command with a by clause to split the results by one or more fields and create multiple series in the chart2. However, you can only list one field after the by clause when using the timechart command because _time is already implied as the x-axis of the chart2. Therefore, option B is correct, while options A, C and D are incorrect.


NEW QUESTION # 200
Why are tags useful in Splunk?

  • A. Tags visualize data with graphs and charts.
  • B. Tags group related data together.
  • C. Tags look for less specific data.
  • D. Tags add fields to the raw event data.

Answer: B

Explanation:
Tags are a type of knowledge object that enable you to assign descriptive keywords to events based on the
values of their fields. Tags can help you to search more efficiently for groups of event data that share common
characteristics, such as functionality, location, priority, etc. For example, you can tag all the IP addresses of
your routers as router, and then search for tag=router to find all the events related to your routers. Tags can
also help you to normalize data from different sources by using the same tag name for equivalent field
values. For example, you can tag the field values error, fail, and critical as severity=high, and then search for
severity=high to find all the events with high severity level2
1: Splunk Core Certified Power User Track, page 10. 2: Splunk Documentation, About tags and aliases.


NEW QUESTION # 201
Which of the following statements describes the command below (select all that apply) Sourcetype=access_combined | transaction JSESSIONID

  • A. An additional field named duration is created.
  • B. An additional filed named maxspan is created.
  • C. An additional field named eventcount is created.
  • D. Events with the same JSESSIONID will be grouped together into a single event.

Answer: A,C,D

Explanation:
The command sourcetype=access_combined | transaction JSESSIONID does three things:
It filters the events by the sourcetype access_combined, which is a predefined sourcetype for Apache web server logs.
It groups the events by the field JSESSIONID, which is a unique identifier for each user session.
It creates a single event from each group of events that share the same JSESSIONID value. This single event will have some additional fields created by the transaction command, such as duration, eventcount, and startime.
Therefore, the statements B, C, and D are true.


NEW QUESTION # 202
Which knowledge object is used to normalize field names to comply with the Splunk Common Information
Model (CIM)?

  • A. Search workflow action
  • B. Field alias
  • C. Tags
  • D. Event types

Answer: B

Explanation:
The correct answer isA. Field alias123.
In Splunk, a field alias is a knowledge object that you can use to assign an alternate name to a field3.This can
be particularly useful when you want to normalize your data to comply with the Splunk Common Information
Model (CIM)12.
The CIM provides a methodology for normalizing values to a common field name1.It acts as a search-time
schema to define relationships in the event data while leaving the raw machine data intact2.By using field
aliases, you can map vendor fields to common fields that are the same for each data source in a given
domain4.This allows you to correlate events from different source types by normalizing these different
occurrences to a common structure and naming convention1.


NEW QUESTION # 203
Which of the following can be used with the eval command tostring function (select all that apply)

  • A. ''commas''
  • B. ''hex''
  • C. ''Decimal''
  • D. ''duration''

Answer: A,B,D

Explanation:
Explanation
https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/ConversionFunctions#tostring.28X.2CY.
The tostring function in the eval command converts a numeric value to a string value. It can take an optional second argument that specifies the format of the string value. Some of the possible formats are:
hex: converts the numeric value to a hexadecimal string.
commas: adds commas to separate thousands in the numeric value.
duration: converts the numeric value to a human-readable duration string, such as "2h 3m 4s".
Therefore, the formats A, B, and D can be used with the tostring function.


NEW QUESTION # 204
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