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Splunk SPLK-1002 Exam Syllabus Topics:

SectionWeightObjectives
Filtering and Formatting Results15%- Use search and where commands
- Sort, rename, and limit results
- Use fillnull, eval, and other formatting commands
Using the Common Information Model (CIM) Add-On5%- Normalize data using CIM knowledge objects
- Use CIM to standardize data across sources
- Describe Splunk CIM purpose and structure
Creating and Using Workflow Actions10%- Describe GET, POST, and Search workflow actions
- Use workflow actions to extend searches
- Create and configure workflow actions
Transforming Commands and Visualizations15%- Format results for presentation
- Use transforming commands to structure data
- Create and customize visualizations
Creating Tags and Event Types10%- Define event types to categorize events
- Use tags and event types in searches
- Create and apply tags to fields or values
Using Macros10%- Create and reuse search macros
- Add and use arguments in macros
- Manage macro permissions and sharing
Creating Data Models10%- Understand data models and Pivot
- Create and use data models
- Define data model objects and attributes
Creating and Using Field Aliases and Calculated Fields10%- Manage field extractions and aliases
- Create calculated fields with eval
- Define and use field aliases
Correlating Events15%- Compare transactions vs stats commands
- Group events by fields and time
- Identify and use transactions

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Splunk Core Certified Power User Exam Sample Questions (Q126-Q131):

NEW QUESTION # 126
Which of the following statements describes the use of the Filed Extractor (FX)?

Answer: B

Explanation:
The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical interface or
by manually editing the regular expression2. The FX allows you to create field extractions that persist as
knowledge objects, which are entities that you create to add knowledge to your data and make it easier to
search and analyze2. Field extractions are methods that extract fields from your raw data using various
techniques such as regular expressions, delimiters or key-value pairs2. When you create a field extraction
using the FX, you can save it as a knowledge object that applies to your data at search time2. You can also
manage and share your field extractions with other users in your organization2. Therefore, option C is correct,
while options A, B and D are incorrect because they do not describe the use of the FX.


NEW QUESTION # 127
Which of the following statements describe the Common Information Model (QM)? (select all that apply)

Answer: A,B,C

Explanation:
Reference:https://docs.splunk.com/Documentation/CIM/4.15.0/User/Overview


NEW QUESTION # 128
A field alias has been created based on an original field. A search without any transforming commands is then
executed in Smart Mode. Which field name appears in the results?

Answer: B

Explanation:
A field alias is a way to assign an alternative name to an existing field without changing the original field
name or value2. You can use field aliases to make your field names more consistent or descriptive across
different sources or sourcetypes2. When you run a search without any transforming commands in Smart Mode,
Splunk automatically identifies and displays interesting fields in your results2. Interesting fields are fields that
appear in at least 20 percent of events or have high variability among values2. If you have created a field alias
based on an original field, both the original field name and the alias name will appear in the Interesting Fields
list if they meet these criteria2. However, only one of them will appear in each event depending on which one
you have specified in your search string2. Therefore, option B is correct, while options A, C and D are
incorrect.


NEW QUESTION # 129
Which delimiters can the Field Extractor (FX) detect? (select all that apply)

Answer: B,C,D

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


NEW QUESTION # 130
Which of these stats commands will show the total bytes for each unique combination of page and server?

Answer: C

Explanation:
The correct command to show the total bytes for each unique combination of page and server is index=web | stats sum (bytes) BY page server. In Splunk, the stats command is used to calculate aggregate statistics over the dataset, such as count, sum, avg, etc. When using the BY clause, it groups the results by the specified fields. The correct syntax does not include commas or the word 'AND' between the field names. Instead, it simply lists the field names separated by spaces within the BY clause.
References:The usage of the stats command with the BY clause is confirmed by examples in the Splunk Community, where it's explained that stats with a by foo bar will output one row for every unique combination of the by fields1.


NEW QUESTION # 131
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