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Splunk SPLK-1002 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Creating and Using Field Aliases and Calculated Fields10%- Define and use field aliases
- Create calculated fields with eval
- Manage field extractions and aliases
Topic 2: Using Macros10%- Create and reuse search macros
- Manage macro permissions and sharing
- Add and use arguments in macros
Topic 3: Creating and Using Workflow Actions10%- Use workflow actions to extend searches
- Describe GET, POST, and Search workflow actions
- Create and configure workflow actions
Topic 4: Transforming Commands and Visualizations15%- Format results for presentation
- Create and customize visualizations
- Use transforming commands to structure data
Topic 5: Creating Tags and Event Types10%- Create and apply tags to fields or values
- Use tags and event types in searches
- Define event types to categorize events
Topic 6: Creating Data Models10%- Create and use data models
- Understand data models and Pivot
- Define data model objects and attributes
Topic 7: Correlating Events15%- Compare transactions vs stats commands
- Identify and use transactions
- Group events by fields and time
Topic 8: Using the Common Information Model (CIM) Add-On5%- Use CIM to standardize data across sources
- Normalize data using CIM knowledge objects
- Describe Splunk CIM purpose and structure
Topic 9: Filtering and Formatting Results15%- Use fillnull, eval, and other formatting commands
- Sort, rename, and limit results
- Use search and where commands

>> SPLK-1002 Exam Format <<

2026 Splunk Efficient SPLK-1002 Exam Format

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Splunk Core Certified Power User Exam Sample Questions (Q162-Q167):

NEW QUESTION # 162
Which of the following statements about data models and pivot are true? (select all that apply)

Answer: B

Explanation:
Data models and pivot are both knowledge objects in Splunk that allow you to analyze and visualize your data in different ways. Data models are collections of datasets that represent your data in a structured and hierarchical way. Data models define how your data is organized into objects and fields. Pivot is a user interface that allows you to create data visualizations that present different aspects of a data model. Pivot does not require users to input SPL searches on data models, but rather lets them select options from menus and forms. Data models are not created out of datasets called pivots, but rather pivots are created from datasets in data models.


NEW QUESTION # 163
What are the two parts of a root event dataset?

Answer: A

Explanation:
Reference: https://docs.splunk.com/Documentation/SplunkLight/7.3.5/GettingStarted/Designdatamodelobjects A root event dataset is the base dataset for a data model that defines the source or sources of the data and the constraints and fields that apply to the data1. A root event dataset has two parts: constraints and fields1. Constraints are filters that limit the data to a specific index, source, sourcetype, host or search string1. Fields are the attributes that describe the data and can be extracted, calculated or looked up1.
Therefore, option C is correct, while options A, B and D are incorrect.


NEW QUESTION # 164
A user wants to convert numeric field values to strings and also to sort on those values.
Which command should be used first, theevalor thesort?

Answer: C

Explanation:
The eval command is used to create new fields or modify existing fields based on an expression2. The sort
command is used to sort the results by one or more fields in ascending or descending order2. If you want to
convert numeric field values to strings and also sort on those values, you should use the sort command first,
then use the eval command to convert the values to strings2. This way, the sort command will use the original
numeric values for sorting, rather than the converted string values which may not sort correctly. Therefore,
option C is correct, while options A, B and D are incorrect.


NEW QUESTION # 165
When should transaction be used?

Answer: B

Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Search/Abouttransactions


NEW QUESTION # 166
What happens to the original field name when a field alias is created?

Answer: C

Explanation:
Creating a field alias in Splunk does not modify or remove the original field. Instead, the alias allows the same data to be accessed using a different field name without affecting the original field.


NEW QUESTION # 167
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