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Certification Path
Splunk Core Certified User is a recommended entry-level exam to Splunk Core Certified Power User. We encourage all candidates to become Splunk Core Certified Users as their first step in our certification program, though it is not required, Candidates can directly appear for Splunk Core Certified Power User splk-1002 Exam.
Reference: https://www.splunk.com/en_us/training/certification-track/splunk-core-certified-power-user.html
SPLK-1002 Exam Content
The domains to check out for SPLK-1002 test along with their details are outlined below. However, this guideline is not a rigid structure of what the test has. Candidates are required to study widely so they become fully prepared. The content of SPLK-1002 can be altered without notifying them.
- Filtering as well as formatting of results (10%)
- Creation and use of macros (10%)
- Application of transformational commands in visualizations (5%)
- Creation of data models (10%)
- Use of the CIM (10%)
- Creation of field aliases as well as calculated fields (10%)
- Creation and use of workflow actions (10%)
- Correlating events (15%)
- Creation of tags as well as event types (10%)
- Creation and management of fields (10%)
In the first section, the Splunk SPLK-1002 exam will test the candidates on how they can use the chart and timechart commands. Then in the questions related to the second domain, they will also be checked on their knowledge of eval command, how well they can apply the search as well as the where command to filter outcomes, and their understanding of the fillnull command. In the third domain, the candidates will have to showcase their skills in the identification of transactions, using fields for group events, making transactions with search, making reports on the transactions, and deciding between the use of transactions and statistics according to a given scenario.
The fourth, fifth, and sixth topics of SPLK-1002 will also go be appraising the candidate's knowledge of the fields and other features. They highlight areas such as the use of the Field Extractor (FX) for performing regex field extractions and using the FX to do delimiter field extractions. The candidate will also be gauged in their knowledge of describing, creating, and utilizing field aliases as well as calculated fields. Finally, one's understanding of the creation and use of tags will be assessed, along with the knowledge of event types, their different uses, and the skills in their creation.
The test will also measure the candidate's awareness of macros, the creation as well as the use of basic macros, defining variables and arguments for macros, and adding and using those arguments. Under the eighth domain, one has to show the knowledge of diverse functions such as GET, POST as well as Search workflow actions, and demonstrate skills in their creation.
In the last two modules, the exam-takers will also be required to prove their expertise in the creation of data models and utilizing CIM. These include an understanding of the connection between pivot and data models, the creation of data models, and the ability to define the attributes. Also, the candidates have to be competent in normalizing data with the help of CIM, be familiar with the CIM Add-On knowledge objects, and the basic features of this solution.
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Splunk SPLK-1002日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Creating Data Models | 10% | - Define data model objects and attributes - Understand data models and Pivot - Create and use data models |
| Using Macros | 10% | - Create and reuse search macros - Manage macro permissions and sharing - Add and use arguments in macros |
| Creating Tags and Event Types | 10% | - Use tags and event types in searches - Define event types to categorize events - Create and apply tags to fields or values |
| Creating and Using Field Aliases and Calculated Fields | 10% | - Manage field extractions and aliases - Create calculated fields with eval - Define and use field aliases |
| Using the Common Information Model (CIM) Add-On | 5% | - Use CIM to standardize data across sources - Describe Splunk CIM purpose and structure - Normalize data using CIM knowledge objects |
| Creating and Using Workflow Actions | 10% | - Describe GET, POST, and Search workflow actions - Use workflow actions to extend searches - Create and configure workflow actions |
| Filtering and Formatting Results | 15% | - Sort, rename, and limit results - Use fillnull, eval, and other formatting commands - Use search and where commands |
| Correlating Events | 15% | - Group events by fields and time - Identify and use transactions - Compare transactions vs stats commands |
| Transforming Commands and Visualizations | 15% | - Create and customize visualizations - Format results for presentation - Use transforming commands to structure data |
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