Free PDF Quiz SPLK-1002 - Splunk Core Certified Power User Exam–Efficient Exam Syllabus

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Splunk SPLK-1002 Exam Syllabus Topics:

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

>> SPLK-1002 Exam Syllabus <<

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Splunk Core Certified Power User Exam Sample Questions (Q179-Q184):

NEW QUESTION # 179
Which command can include both an over and a by clause to divide results into sub-groupings?

A. transaction
B. xyseries
C. stats
D. chart

Answer: D

NEW QUESTION # 180
Which of the following definitions describes a macro named "samplemacro" that accepts two arguments?

A. samplemacro[2]
B. samplemacro[1,2]
C. samplemacro(2)
D. samplemacro(1,2)

Answer: C

Explanation:
Search macros with arguments must include the number of arguments in parentheses.
Extract: "If your macro includes arguments, append the number of arguments to the macro name. For example, mymacro(2)." Thus, samplemacro(2) is correct.

NEW QUESTION # 181
Which delimiters can the Field Extractor (FX) detect? (select all that apply)

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

Answer: A,B,D

NEW QUESTION # 182
Which of the following statements about tags is true?

A. Tags are searched by using the syntax tag: : <fieldneme>
B. Tags are case insensitive.
C. Tags are created at index time.
D. Tags can make your data more understandable.

Answer: D

Explanation:
Tags are aliases or alternative names for field values in Splunk. They can make your data more understandable by using common or descriptive terms instead of cryptic or technical terms. For example, you can tag a field value such as "200" with "OK" or "success" to indicate that it is a HTTP status code for a successful request. Tags are case sensitive, meaning that "OK" and "ok" are different tags. Tags are created at search time, meaning that they are applied when you run a search on your data. Tags are searched by using the syntax tag::<tagname>, where <tagname> is the name of the tag you want to search for.

NEW QUESTION # 183
Which of the following searches would create a graph similar to the one below?

A. index_internal seourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan-id | start count states
B. None of these searches would generate a similart graph.
C. index_internal seourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan-id | chart count states by -time
D. index_internal seourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan-id | timechart count by status

Answer: D

NEW QUESTION # 184
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