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Splunk SPLK-1002 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Correlating Events	15%	- Event correlation techniques 1. Group events using fields and time 2. Report on transactions 3. When to use transactions vs stats 4. Identify transactions 5. Group events using fields 6. Search with transactions
Topic 2: Tags and Event Types	10%	- Knowledge objects 1. Event types usage 2. Create event types 3. Create and use tags
Topic 3: Macros	10%	- Search macros 1. Create and use basic macros 2. Macros with arguments
Topic 4: Using Transforming Commands for Visualizations	5%	- Visualization commands 1. timechart command 2. chart command
Topic 5: Filtering and Formatting Results	10%	- Search and evaluation commands 1. eval command 2. search command 3. where command 4. fillnull command
Topic 6: Creating and Managing Fields	10%	- Field extraction methods 1. Regex field extraction using Field Extractor (FX) 2. Delimiter field extraction using Field Extractor (FX)
Topic 7: Field Aliases and Calculated Fields	10%	- Field enrichment 1. Calculated fields 2. Field aliases
Topic 8: Data Models	10%	- Data model concepts 1. Data model structure 2. Create data models 3. Data model attributes 4. Pivot usage
Topic 9: Workflow Actions	10%	- Workflow action types 1. Search workflow actions 2. GET workflow actions 3. POST workflow actions
Topic 10: Common Information Model (CIM)	10%	- Data normalization 1. Data normalization techniques 2. Purpose of CIM 3. Using CIM add-ons

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Splunk Core Certified Power User Exam Sample Questions (Q211-Q216):

NEW QUESTION # 211
How could the following syntax for the chart command be rewritten to remove the OTHER category? (select all that apply)

A. | chart count over CurrentStanding by Action limit=10 useother=f
B. | chart count over CurrentStanding by Action limit-10
C. | chart count over CurrentStanding by Action useother=f
D. | chart count over CurrentStanding by Action usenull-f useother-t

Answer: A,C

Explanation:
In Splunk, when using the chart command, the useother parameter can be set to false (f) to remove the
'OTHER' category, which is a bucket that Splunk uses to aggregate low-cardinality groups into a single group to simplify visualization. Here's how the options break down:
A). | chart count over CurrentStanding by Action useother=fThis command correctly sets the useother parameter to false, which would prevent the 'OTHER' category from being displayed in the resulting visualization.
B). | chart count over CurrentStanding by Action usenull=f useother=tThis command has useother set to true (t), which means the 'OTHER' category would still be included, so this is not a correct option.
C). | chart count over CurrentStanding by Action limit=10 useother=fSimilar to option A, this command also sets useother to false, additionally imposing a limit to the top 10 results, which is a way to control the granularity of the chart but also to remove the 'OTHER' category.
D). | chart count over CurrentStanding by Action limit-10This command has a syntax error (limit-10 should be limit=10) and does not include the useother=f clause. Therefore, it would not remove the 'OTHER' category, making it incorrect.
The correct answers to rewrite the syntax to remove the 'OTHER' category are options A and C, which explicitly set useother=f.

NEW QUESTION # 212
Which group of users would most likely use pivots?

A. Knowledge Managers
B. Architects
C. Administrators
D. Users

Answer: D

Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Pivot/IntroductiontoPivot
A pivot is a tool that allows you to create reports and dashboards using data models without writing any SPL
commands2. You can use pivots to explore, filter, split and visualize your data using a graphical
interface2. Pivots are designed for users who want to analyze and report on their data without having to learn
the SPL syntax or the underlying structure of the data2. Therefore, option A is correct, while options B, C and
D are incorrect because they are not the typical group of users who would use pivots.

NEW QUESTION # 213
The gauge command:

A. creates a radial gauge visualization
B. creates a single-value visualization
C. allows you to set colored ranges for a single-value visualization

Answer: C

NEW QUESTION # 214
When using the Field Extractor (FX) to perform a field extraction, which delimiter can be used?

A. A tab or space.
B. A period or comma.
C. Any consistent character.
D. A comma.

Answer: C

Explanation:
When using the Field Extractor (FX) in Splunk to perform field extraction, any consistent character can be used as a delimiter. The Field Extractor allows users to define how fields are separated in the raw event data, and as long as the delimiter is consistent, the FX tool can parse and extract the fields correctly.
Reference:
Splunk Docs: Field Extractor
Splunk Answers: Field extraction delimiters

NEW QUESTION # 215
Field aliases are used to __________ data

A. calculate
B. normalize
C. clean
D. transform

Answer: B

NEW QUESTION # 216
......

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