Latest Splunk SPLK-1002 Questions in Three Different Formats

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Splunk SPLK-1002 Exam Syllabus Topics:

Section	Weight	Objectives
Common Information Model (CIM)	10%	- Data normalization 1. Data normalization techniques 2. Purpose of CIM 3. Using CIM add-ons
Data Models	10%	- Data model concepts 1. Pivot usage 2. Create data models 3. Data model attributes 4. Data model structure
Correlating Events	15%	- Event correlation techniques 1. Report on transactions 2. When to use transactions vs stats 3. Identify transactions 4. Group events using fields 5. Group events using fields and time 6. Search with transactions
Tags and Event Types	10%	- Knowledge objects 1. Create event types 2. Event types usage 3. Create and use tags
Macros	10%	- Search macros 1. Create and use basic macros 2. Macros with arguments
Workflow Actions	10%	- Workflow action types 1. GET workflow actions 2. Search workflow actions 3. POST workflow actions
Creating and Managing Fields	10%	- Field extraction methods 1. Delimiter field extraction using Field Extractor (FX) 2. Regex field extraction using Field Extractor (FX)
Using Transforming Commands for Visualizations	5%	- Visualization commands 1. timechart command 2. chart command
Field Aliases and Calculated Fields	10%	- Field enrichment 1. Field aliases 2. Calculated fields
Filtering and Formatting Results	10%	- Search and evaluation commands 1. search command 2. fillnull command 3. eval command 4. where command

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Splunk Core Certified Power User Exam Sample Questions (Q186-Q191):

NEW QUESTION # 186
What is the Splunk Common Information Model (CIM)?

A. The CIM is a data exchange initiative between software vendors.
B. The CIM defines an ecosystem of apps that can be fully supported by Splunk.
C. The CIM provides a methodology to normalize data from different sources and source types.
D. The CIM is a prerequisite that any data source must meet to be successfully onboarded into Splunk.

Answer: C

Explanation:
The Splunk Common Information Model (CIM) provides a methodology to normalize data from different sources and source types. The CIM defines a common set of fields and tags for different types of data, such as web, network, email, etc. This allows you to search and analyze data from different sources in a consistent way.

NEW QUESTION # 187
Which of the following knowledge objects represents the output of an eval expression?

A. Calculated lookups
B. Eval fields
C. Calculated fields
D. Field extractions

Answer: C

Explanation:
Reference:https://docs.splunk.com/Splexicon:Calculatedfield
The eval command is used to create new fields or modify existing fields based on an expression2. The output
of an eval expression is a calculated field, which is a field that you create based on the value of another field or
fields2. You can use calculated fields to enrich your data with additional information or to transform your data
into a more useful format2. Therefore, option B is correct, while options A, C and D are incorrect because they
are not names of knowledge objects that represent the output of an eval expression.

NEW QUESTION # 188
When you mouse over and click to add a search term this (thesE. Boolean operator(s) is(arE. not implied. (Select all that apply).

A. ( )
B. OR
C. NOT
D. AND

Answer: A,B,C

Explanation:
When you mouse over and click to add a search term from the Fields sidebar or from an event in your search results, Splunk automatically adds the term to your search string with an implied AND operator2. However, this does not apply to some Boolean operators such as OR, NOT and parentheses (). These operators are not implied when you add a search term and you have to type them manually if you want to use them in your search string2. Therefore, options A, B and D are correct, while option C is incorrect because AND is implied when you add a search term.

NEW QUESTION # 189
When using the Field Extractor (FX), which of the following delimiters will work? (select all that apply)

A. Pipes
B. Spaces
C. Tabs
D. Colons

Answer: A,B,C

Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
https://community.splunk.com/t5/Splunk-Search/Field-Extraction-Separate-on-Colon/m-p/29751
The Field Extractor (FX) is a tool that helps you extract fields from your data using delimiters or regular
expressions. Delimiters are characters or strings that separate fields in your data. Some of the delimiters that
will work with FX are:
Tabs: horizontal spaces that align text in columns.
Pipes: vertical bars that often indicate logical OR operations.
Spaces: blank characters that separate words or symbols.
Therefore, the delimiters A, B, and D will work with FX.

NEW QUESTION # 190
Which one of the following statements about the search command is true?

A. It treats field values in a case-sensitive manner.
B. It behaves exactly like search strings before the first pipe.
C. It does not allow the use of wildcards.
D. It can only be used at the beginning of the search pipeline.

Answer: D

Explanation:
Reference:
https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Search/Usethesearchcommand

NEW QUESTION # 191
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