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Splunk SPLK-1002 Exam Syllabus Topics:

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

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Splunk Core Certified Power User Exam Sample Questions (Q145-Q150):

NEW QUESTION # 145
What does the fillnull command replace null values with, it the value argument is not specified?

A. NaN
B. NULL
C. N/A
D. 0

Answer: D

Explanation:
Reference:
The fillnull command is a search command that replaces null values with a specified value or 0 if no value is specified. Null values are values that are missing, empty, or undefined in Splunk. The fillnull command can replace null values for all fields or for specific fields. The fillnull command can take an optional argument called value that specifies the value to replace null values with. If no value argument is specified, the fillnull command will replace null values with 0 by default.

NEW QUESTION # 146
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 usenull-f useother-t
B. | chart count over CurrentStanding by Action limit=10 useother=f
C. | chart count over CurrentStanding by Action limit-10
D. | chart count over CurrentStanding by Action useother=f

Answer: B,D

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 # 147
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://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 # 148
Data model are composed of one or more of which of the following datasets? (select all that apply.)

A. Search datasets
B. Transaction datasets
C. Events datasets
D. Any child of event, transaction, and search datasets

Answer: A,B,C

Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Aboutdatamodels

NEW QUESTION # 149
The Field Extractor (FX) is used to extract a custom field. A report can be created using this custom field. The created report can then be shared with other people in the organization. If another person in the organization runs the shared report and no results are returned, why might this be? (select all that apply)

A. The dashboard is private.
B. The extraction is private-
C. The person in the organization running the report does not have access to the index.
D. Fast mode is enabled.

Answer: B,C

Explanation:
The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical interface2. You can create a report using a custom field extracted by the FX and share it with other users in your organization2. However, if another user runs the shared report and no results are returned, there could be two possible reasons. One reason is that the extraction is private, which means that only you can see and use the extracted field2. To make the extraction available to other users, you need to make it global or app-level2.
Therefore, option C is correct. Another reason is that the other user does not have access to the index where the events are stored2. To fix this issue, you need to grant the appropriate permissions to the other user for the index2. Therefore, option D is correct. Options A and B are incorrect because they are not related to the field extraction or the report.

NEW QUESTION # 150
......

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