The Splunk Core Certified Power User (SPLK-1002) exam validates your ability to perform advanced search and analysis tasks within Splunk. This certification is designed for users who have moved beyond basic searches and need to master data transformation, field management, and data modeling. This page provides a clear roadmap of the exam syllabus, question formats, and actionable preparation strategies to help you pass with confidence.
Use this topic map to guide your study for Splunk SPLK-1002 (Splunk Core Certified Power User) within the Splunk Core Certified Power User path.
The SPLK-1002 exam combines multiple-choice and scenario-based questions to assess both conceptual knowledge and practical problem-solving ability. Questions progress in difficulty and reflect real-world situations you will encounter when managing Splunk environments.
Questions are designed to measure both breadth of knowledge and depth of understanding, ensuring you can apply concepts to solve actual problems in production environments.
A structured study approach mapped to the ten exam topics will maximize your retention and confidence. Plan to spend 4-6 weeks reviewing each topic thoroughly, practicing with realistic scenarios, and refining your weak areas through targeted review.
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Field management (topic 4), data models (topic 9), and the Common Information Model (topic 10) typically account for a significant portion of exam questions because they form the foundation for advanced Splunk usage. However, all ten topics are represented, so balanced preparation across all areas is essential for success.
Transforming commands reshape raw search results; fields organize and label that data; and data models package both together into a business-friendly layer. For example, you extract a field (topic 4), create an alias to standardize its name (topic 5), then include it in a data model (topic 9) so other users can build reports without writing complex searches. Understanding these connections helps you design efficient, scalable solutions.
Hands-on experience is invaluable because it builds muscle memory and intuition. Prioritize labs that let you create fields, build simple data models, write macros, and test transforming commands in a sandbox environment. If possible, work with real or realistic data to understand how field extraction and aliasing solve actual data quality challenges.
Common pitfalls include confusing field extraction at index time versus search time, misunderstanding when to use macros versus calculated fields, and overlooking the role of the CIM add-on in standardizing field names. Many candidates also underestimate the importance of data model design and how it impacts search performance and user adoption. Careful review of explanations in practice tests helps avoid these errors on exam day.
In the final week, focus on high-weight topics (field management, data models, and CIM) and avoid introducing new material. Complete one full-length timed practice test under realistic exam conditions, review any questions you missed, and spend time on topics where you scored below 80 percent. Get adequate sleep the night before the exam, and on test day, read each question carefully and manage your time to allow for review of flagged items.
Which of the following data model are included In the Splunk Common Information Model (CIM) add-on? (select all that apply)
The Splunk Common Information Model (CIM) add-on is a collection of pre-built data models and knowledge objects that help you normalize your data from different sources and make it easier to analyze and report on it3.The CIM add-on includes several data models that cover various domains such as Alerts, Email, Database, Network Traffic, Web and more3. Therefore, options A, B and C are correct because they are names of some of the data models included in the CIM add-on. Option D is incorrect because User permissions is not a name of a data model in the CIM add-on.
Which of the following searches will show the number of categoryld used by each host?
A user wants to retrieve IP address information. How should the URI be specified to configure a GET workflow action?
In workflow action definitions, field values are inserted using dollar sign tokens.
Extract: ''Enclose field names in dollar signs ($fieldname$) to substitute field values dynamically in GET workflow actions.''
Therefore, the correct syntax is http://whois.net/whois/$domain$.
What fields does the transaction command add to the raw events? (select all that apply)
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The correct answers are B. duration and D. transaction id.
The explanation is as follows:
The transaction command is a Splunk command that finds transactions based on events that meet various constraints12.
Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the earliest member, as well as the union of all other fields of each member12.
The transaction command adds some fields to the raw events that are part of the transaction123. These fields are:
duration: The difference, in seconds, between the timestamps for the first and last events in the transaction123.
eventcount: The number of events in the transaction123.
transaction_id: A unique identifier for each transaction3. This field is useful for filtering or joining transactions3.
Therefore, the fields that the transaction command adds to the raw events are duration and transaction_id, which are options B and D in your question.
What does the Splunk Common Information Model (CIM) add-on include? (select all that apply)
The Splunk Common Information Model (CIM) add-on is a collection of pre-built data models and knowledge objects that help you normalize your data from different sources and make it easier to analyze and report on it3.The CIM add-on includes pre-configured data models that cover various domains such as Alerts, Email, Database, Network Traffic, Web and more3. Therefore, option B is correct.The CIM add-on also includes fields and event category tags that define the common attributes and labels for the data models3. Therefore, option C is correct. The CIM add-on does not include custom visualizations or automatic data model acceleration. Therefore, options A and D are incorrect.
