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Exam Details

SPLK-1002 has 65 multiple-select and multiple-choice questions that should be answered in 57 minutes, with an addition of 3 minutes that are given one to get familiar with the exam agreement. Taking this test will cost $ The applicants will be rated on a variety of knowledge areas, such as the following:

  • Filtering as well as formatting of results
  • Correlating events
  • Transformation of commands as well as visualizations
  • CIM
  • Different concepts of fields (aliases, extractions, and calculated fields)
  • Tags as well as event types
  • Macros
  • Data models
  • Workflow actions
  • Knowledge objects

Candidates are advised to take the training courses provided by the vendor when preparing for SPLK-1002 exam. To succeed on the first attempt, they should tackle all the lectures, hands-on sessions, and practice questions to ensure they are adequately ready.

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 tags as well as event types (10%)
  • Use of the CIM (10%)
  • Creation and management of fields (10%)
  • Creation of data models (10%)
  • Creation and use of workflow actions (10%)
  • Creation of field aliases as well as calculated fields (10%)
  • Correlating events (15%)

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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Certification Track

After acing the Splunk SPLK-1002 exam, one can advance in his or her career by taking more tests. For instance, the associated accreditation serves as a prerequisite for the Splunk Enterprise Certified Admin certification. Thus, it is possible for individuals to opt for this path to add more color to their resumes. Such an extra achievement will also make them more industry-ready and ensure growth and promotions.

Reference: https://www.splunk.com/en_us/training/certification-track/splunk-core-certified-power-user.html

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splk-1002 Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our splk-1002 exam dumps will include the following topics:

1. Splunk Fundamentals

  • Module 3 - Introduction to Splunk's User Interface

  • Work with events

  • Module 5 - Using Fields in Searches

  • Describe lookups

  • Control a search job

  • The rare command

  • Learn basic navigation in Splunk

  • Refine searches

  • Module 1 - Introduction

  • What is the Common Information Model (CIM)?

  • Configure an automatic lookup

  • Describe Pivot

  • Module 10 - Creating and Using Lookups

  • Module 4 - Basic Searching

  • Create reports that include visualizations such as charts

  • Configure scheduled reports

  • Understand the relationship between data models and pivot

  • Use fields in searches

  • Add a report to a dashboard

  • Module 9 - Datasets and the Common Information Model

  • Add a pivot report to a dashboard

  • Use the fields sidebar

  • Define Splunk Apps

  • Use SPL search commands to perform searches:

  • Identify the contents of search results

  • Describe alerts

  • Review basic search commands and general search practices

  • Customizing your user settings

  • Create an instant pivot from a search

  • View fired alerts

  • Module 12 - Using Pivot

  • Getting data into Splunk

  • Specify indexes in searches

  • Splunk components

  • Use the timeline

  • Save a search as a report

  • Module 7 - Using Basic Transforming Commands

  • Edit reports

  • Use autocomplete and syntax highlighting

  • Module 2 - What is Splunk?

  • Naming conventions

  • Save search results

  • Create a pivot report

  • Examine the search pipeline

  • Select a data model object

  • Edit a dashboard

  • Describe scheduled reports

  • Installing Splunk

  • Create a dashboard

  • Run basic searches

  • Module 6 - Search Language Fundamentals

  • Create a lookup file and create a lookup definition

  • The stats command

  • Set the time range of a search

  • Module 11 - Creating Scheduled Reports and Alerts

  • What are datasets?

  • Understand the uses of Splunk

  • Overview of Buttercup Games Inc.

  • Create alerts

  • and tables

  • Module 8 - Creating Reports and Dashboards

  • Use autocomplete to help build a search

  • The top command

  • Understand fields

2. Splunk Fundamentals

  • Describe, create and use calculated fields

  • Search fundamentals review

  • Report on transactions

  • Module 12 - Creating and Using Workflow Actions

  • Use a data model in pivot

  • Group events using fields and time

  • Using the search and where commands to filter results

  • Determine when to use transactions vs. stats

  • Explore visualization types

  • Module 1 - Introduction

  • Using the job inspector to view search performance

  • Define arguments and variables for a macro

  • Describe the Splunk CIM

  • Describe, create, and use field aliases

  • The geostats command

  • Identify data model attributes

  • Module 3 - Using Transforming Commands for Visualizations

  • The geom command

  • Perform regex field extractions using the Field Extractor (FX)

  • Describe the function of GET, POST, and Search workflow actions

  • Module 8 - Creating and Managing Fields

  • Create a data model

  • Create and use tags

  • Identify transactions

  • Create a Search workflow action

  • Use the CIM Add-On to normalize data

  • Describe macros

  • Module 10 - Creating Tags and Event Types

  • Search with transactions

  • Case sensitivity

  • Describe event types and their uses

  • Module 11 - Creating and Using Macros

  • The addtotals command

  • Create an event type

  • Lab environment

  • Add-On

  • The filnull command

  • Explore data structure requirements

  • Module 4 - Using Mapping and Single Value Commands

  • Manage knowledge objects

  • Module 9 - Creating Field Aliases and Calculated Fields

  • Add and use arguments with a macro

  • Module 13 - Creating Data Models

  • Module 5 - Filtering and Formatting Results

  • The eval command

  • Create and use a basic macro

  • Module 14 - Using the Common Information Model (CIM) Add-On

  • Create a POST workflow action

  • Module 7 - Introduction to Knowledge Objects

  • Module 2 - Beyond Search Fundamentals

  • Group events using fields

  • Create and format charts and timecharts

  • Perform delimiter field extractions using the FX

  • Create a GET workflow action

  • Identify naming conventions

  • Review permissions

  • Describe the relationship between data models and pivot

  • Overview of Buttercup Games Inc.

  • Module 6 - Correlating Events

  • List the knowledge objects included with the Splunk CIM

  • The iplocation command

Splunk SPLK-1002 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Field Aliases and Calculated Fields10%- Field enrichment
  • 1. Calculated fields
    • 2. Field aliases
      Topic 2: Macros10%- Search macros
      • 1. Macros with arguments
        • 2. Create and use basic macros
          Topic 3: Using Transforming Commands for Visualizations5%- Visualization commands
          • 1. chart command
            • 2. timechart command
              Topic 4: Workflow Actions10%- Workflow action types
              • 1. GET workflow actions
                • 2. POST workflow actions
                  • 3. Search workflow actions
                    Topic 5: Correlating Events15%- Event correlation techniques
                    • 1. Group events using fields
                      • 2. Search with transactions
                        • 3. When to use transactions vs stats
                          • 4. Group events using fields and time
                            • 5. Identify transactions
                              • 6. Report on transactions
                                Topic 6: Common Information Model (CIM)10%- Data normalization
                                • 1. Purpose of CIM
                                  • 2. Data normalization techniques
                                    • 3. Using CIM add-ons
                                      Topic 7: Filtering and Formatting Results10%- Search and evaluation commands
                                      • 1. where command
                                        • 2. eval command
                                          • 3. fillnull command
                                            • 4. search command
                                              Topic 8: Data Models10%- Data model concepts
                                              • 1. Pivot usage
                                                • 2. Data model attributes
                                                  • 3. Data model structure
                                                    • 4. Create data models
                                                      Topic 9: Creating and Managing Fields10%- Field extraction methods
                                                      • 1. Delimiter field extraction using Field Extractor (FX)
                                                        • 2. Regex field extraction using Field Extractor (FX)
                                                          Topic 10: Tags and Event Types10%- Knowledge objects
                                                          • 1. Create and use tags
                                                            • 2. Create event types
                                                              • 3. Event types usage

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