Splunk SPLK-1002 exam is a multiple-choice exam that covers various topics related to Splunk Core. SPLK-1002 exam consists of 65 questions and requires a passing score of 70%. SPLK-1002 exam covers a broad range of topics, including indexing, searching, and reporting data with Splunk Core. It also covers advanced topics, such as the use of macros, custom commands, and field aliases.
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To prepare for the SPLK-1002 exam, candidates are recommended to attend the Splunk Core Certified Power User course or acquire similar knowledge through hands-on experience. This training will help candidates learn essential concepts for Splunk Core, including data inputs, transforming and mapping data, and configuring role-based access control. By successfully passing the SPLK-1002 exam, candidates demonstrate their ability to effectively use Splunk Core, making them highly valuable to organizations using Splunk as their data analytics platform of choice.
Reference: https://www.splunk.com/en_us/training/certification-track/splunk-core-certified-power-user.html
The SPLK-1002 exam consists of 65 multiple-choice questions that must be completed within 90 minutes. SPLK-1002 exam covers a range of topics, including using Splunk to search and navigate data, creating and managing alerts, and working with macros and workflow actions. Candidates will also be tested on their ability to use Splunk's advanced features, such as data models, pivot, and transaction commands.
Splunk SPLK-1002 certification exam is designed for individuals who have a deep understanding of the Splunk platform and are capable of utilizing it to its full potential. Splunk Core Certified Power User Exam certification exam is intended for power users who want to demonstrate their expertise in using Splunk for searching, reporting, and analysis. Successful completion of SPLK-1002 exam will demonstrate a candidate's knowledge and skills in using Splunk to perform advanced searches, creating reports and dashboards, and managing knowledge objects.
Splunk SPLK-1002 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Field Aliases and Calculated Fields | 10% | - Field enrichment
- 1. Calculated fields
- 2. Field aliases
|
| Common Information Model (CIM) | 10% | - Data normalization
- 1. Using CIM add-ons
- 2. Purpose of CIM
- 3. Data normalization techniques
|
| Creating and Managing Fields | 10% | - Field extraction methods
- 1. Delimiter field extraction using Field Extractor (FX)
- 2. Regex field extraction using Field Extractor (FX)
|
| Using Transforming Commands for Visualizations | 5% | - Visualization commands
- 1. chart command
- 2. timechart command
|
| Correlating Events | 15% | - Event correlation techniques
- 1. Group events using fields
- 2. Group events using fields and time
- 3. Search with transactions
- 4. Report on transactions
- 5. Identify transactions
- 6. When to use transactions vs stats
|
| Macros | 10% | - Search macros
- 1. Create and use basic macros
- 2. Macros with arguments
|
| Tags and Event Types | 10% | - Knowledge objects
- 1. Create and use tags
- 2. Create event types
- 3. Event types usage
|
| Filtering and Formatting Results | 10% | - Search and evaluation commands
- 1. search command
- 2. fillnull command
- 3. eval command
- 4. where command
|
| Data Models | 10% | - Data model concepts
- 1. Create data models
- 2. Data model attributes
- 3. Data model structure
- 4. Pivot usage
|
| Workflow Actions | 10% | - Workflow action types
- 1. GET workflow actions
- 2. POST workflow actions
- 3. Search workflow actions
|