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Splunk SPLK-1002 Exam Questions
- Topic 1: Using Transforming Commands for Visualizations/ Use the Chart Command/ Use the Timechart Command
- Topic 2: Filtering and Formatting Results/ The Eval Command/ Use the Search and where Commands to Filter Results/ The Fillnull Command
- Topic 3: Correlating Events/ Identify Transactions/ Group Events Using Fields/ Group Events Using Fields and Time
- Topic 4: Search with Transactions/ Report on Transactions/ Determine When to Use Transactions vs. Stats
- Topic 5: Creating and Managing Fields/ Perform Regex Field Extractions Using the Field Extractor/ Perform Delimiter Field Extractions Using the FX
- Topic 6: Creating Field Aliases and Calculated Fields/ Describe, Create, and Use Field Aliases/ Describe, Create, and Use Calculated Fields
- Topic 7: Creating Tags and Event Types/ Create and Use Tags/ Describe Event Types and Their Uses/ Create an Event Type
- Topic 8: Creating and Using Macros/ Describe Macros/ Create and Use a Basic Macro/ Define Arguments and Variables for a Macro/ Add and Use Arguments with a Macro
- Topic 9: Creating and Using Workflow Actions/ Describe the Function of GET, POST, and Search Workflow Actions/ Create a GET Workflow Action, a POST Workflow Action, a Search Workflow Action
- Topic 10: Creating Data Models/ Describe the Relationship Between Data Models and Pivot/ Identify Data Model Attributes/ Create a Data Model
- Topic 11: Using the Common Information Model/ List the Knowledge Objects Included with the Splunk CIM Add-On/ Use the CIM Add-On to Normalize data
Free Splunk SPLK-1002 Exam Actual Questions
Note: Premium Questions for SPLK-1002 were last updated On Oct. 18, 2026 (see below)
In which of the following scenarios is an event type more effective than a saved search?
An event type is a way to categorize events based on a search string that matches the events2.You can use event types to simplify your searches by replacing long or complex search strings with short and simple event type names2.An event type is more effective than a saved search when the search string needs to be used in future searches because it allows you to reuse the search string without having to remember or type it again2. Therefore, option C is correct, while options A, B and D are incorrect because they are not scenarios where an event type is more effective than a saved search.
In what order arc the following knowledge objects/configurations applied?
Knowledge objects are entities that you create to add knowledge to your data and make it easier to search and analyze2.Some examples of knowledge objects are field extractions, field aliases and lookups2.Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2.Field aliases are ways to assign alternative names to existing fields without changing the original field names or values2.Lookups are ways to enrich your data with additional information from external sources such as CSV files or databases2.The order in which these knowledge objects/configurations are applied is as follows: field extractions, field aliases and then lookups2.This means that Splunk first extracts fields from your raw data, then applies any aliases to the extracted fields and then performs any lookups on the aliased fields2. Therefore, option B is correct, while options A, C and D are incorrect.
Which of the following statements describe the search string below?
| datamodel Application_State All_Application_State search
The search string below returns events from the data model named Application_State.
| datamodel Application_State All_Application_State search
The search string does the following:
It uses the datamodel command to access a data model in Splunk. The datamodel command takes two arguments: the name of the data model and the name of the dataset within the data model.
It specifies the name of the data model as Application_State. This is a predefined data model in Splunk that contains information about web applications.
It specifies the name of the dataset as All_Application_State. This is a root dataset in the data model that contains all events from all child datasets.
It uses the search command to filter and transform the events from the dataset. The search command can use any search criteria or command to modify the results.
Therefore, the search string returns events from the data model named Application_State.
By default, how is acceleration configured in the Splunk Common Information Model (CIM) add-on?
By default, acceleration is determined automatically based on the data source in the Splunk Common Information Model (CIM) add-on. The Splunk CIM Add-on is an app that provides common data models for various domains, such as network traffic, web activity, authentication, etc. The CIM Add-on allows you to normalize and enrich your data using predefined fields and tags. The CIM Add-on also allows you to accelerate your data models for faster searches and reports. Acceleration is a feature that pre-computes summary data for your data models and stores them in tsidx files. Acceleration can improve the performance and efficiency of your searches and reports that use data models.
By default, acceleration is determined automatically based on the data source in the CIM Add-on. This means that Splunk will decide whether to enable or disable acceleration for each data model based on some factors, such as data volume, data type, data model complexity, etc. However, you can also manually enable or disable acceleration for each data model by using the Settings menu or by editing the datamodels.conf file.
Which of the following fields should be normalized using the Splunk Common Information Model (CIM) based on their relationship?
Normalization in CIM aligns differing field names that represent the same type of data across multiple sources.
Extract: ''Field aliases and tags are used to map fields with different names but equivalent meaning, such as source_ip and src_ip.''
Thus, src_ip and source_ip should be normalized to represent a common standardized field.
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