Splunk SPLK-1002 Valid Real Test - SPLK-1002 Certification Exam Cost

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Splunk SPLK-1002 Exam Syllabus Topics:

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

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                                                                SPLK-1002 Certification Exam Cost & SPLK-1002 Certification Exam Dumps

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                                                                Splunk Core Certified Power User Exam Sample Questions (Q301-Q306):

                                                                NEW QUESTION # 301
                                                                Which of the following statements about tags is true?

                                                                Answer: A

                                                                Explanation:
                                                                Tags are a knowledge object that allow you to assign an alias to one or more field values . Tags are
                                                                applied to events at search time and can be used as search terms or filters .
                                                                Tags can help you make your data more understandable by replacing cryptic or complex field values
                                                                with meaningful names . For example, you can tag the value 200 in the status field as success, or tag the
                                                                value 404 as not_found .


                                                                NEW QUESTION # 302
                                                                Which field extraction method should be selected for comma-separated data?

                                                                Answer: D

                                                                Explanation:
                                                                The correct answer is B. Delimiters. This is because the delimiters method is designed for structured event
                                                                data, such as data from files with headers, where all of the fields in the events are separated by a common
                                                                delimiter, such as a comma or space. You can select a sample event, identify the delimiter, and then rename
                                                                the fields that the field extractor finds.You can learn more about the delimiters method from the Splunk
                                                                documentation1. The other options are incorrect because they are not suitable for comma-separated data. The
                                                                regular expression method works best with unstructured event data, where you select and highlight one or
                                                                more fields to extract from a sample event, and the field extractor generates a regular expression that matches
                                                                similar events and extracts the fields from them. The eval expression is a command that lets you calculate new
                                                                fields or modify existing fields using arithmetic, string, and logical operations. The table extraction is a feature
                                                                that lets you extract tabular data from PDF files or web pages.You can learn more about these methods from
                                                                the Splunk documentation23.


                                                                NEW QUESTION # 303
                                                                Which of the following data models are included in the Splunk Common Information Model (CIM) add-on? (select all that apply)

                                                                Answer: A,D

                                                                Explanation:
                                                                The Splunk Common Information Model (CIM) Add-on includes a variety of data models designed to normalize data from different sources to allow for cross-source reporting and analysis. Among the data models included, Alerts (Option B) and Email (Option D) are part of the CIM. The Alerts data model is used for data related to alerts and incidents, while the Email data model is used for data pertaining to email messages and transactions. User permissions (Option A) and Databases (Option C) are not data models included in the CIM; rather, they pertain to aspects of data access control and specific types of data sources, respectively, which are outside the scope of the CIM's predefined data models.


                                                                NEW QUESTION # 304
                                                                Which of the following statements about data models and pivot are true? (select all that apply)

                                                                Answer: A

                                                                Explanation:
                                                                Data models and pivot are both knowledge objects in Splunk that allow you to analyze and visualize your data
                                                                in different ways. Data models are collections of datasets that represent your data in a structured and
                                                                hierarchical way. Data models define how your data is organized into objects and fields. Pivot is a user
                                                                interface that allows you to create data visualizations that present different aspects of a data model. Pivot does
                                                                not require users to input SPL searches on data models, but rather lets them select options from menus and
                                                                forms. Data models are not created out of datasets called pivots, but rather pivots are created from datasets in
                                                                data models.


                                                                NEW QUESTION # 305
                                                                Which method in the Field Extractor would extract the port number from the following event? |
                                                                10/20/2022 - 125.24.20.1 ++++ port 54 - user: admin <web error>

                                                                Answer: B

                                                                Explanation:
                                                                The rex command allows you to extract fields from events using regular expressions. You can use the rex command to specify a named group that matches the port number in the event. For example:
                                                                rex "\+\+\+\+port (?<port>\d+)"
                                                                This will create a field called port with the value 54 for the event.
                                                                The delimiter method is not suitable for this event because there is no consistent delimiter between the fields. The regular expression method is not a valid option for the Field Extractor tool. The Field Extractor tool can extract regular expressions, but it is not a method by itself.


                                                                NEW QUESTION # 306
                                                                ......

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