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Splunk SPLK-1002 Exam Syllabus Topics:

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

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                                                                Splunk Core Certified Power User Exam Sample Questions (Q10-Q15):

                                                                NEW QUESTION # 10
                                                                Calculated fields can be based on which of the following?

                                                                Answer: C

                                                                Explanation:
                                                                "Calculated fields can reference all types of field extractions and field aliasing, but they cannot reference lookups, event types, or tags."


                                                                NEW QUESTION # 11
                                                                There are several ways to access the field extractor. Which option automatically identifies data type, source type, and sample event?

                                                                Answer: B

                                                                Explanation:
                                                                Explanation
                                                                There are several ways to access the field extractor. The option that automatically identifies data type, source type, and sample event is Fields sidebar > Extract New Field. The field extractor is a tool that helps you extract fields from your data using delimiters or regular expressions. The field extractor can generate a regex for you based on your selection of sample values or you can enter your own regex in the field extractor. The field extractor can be accessed by using various methods, such as:
                                                                Fields sidebar > Extract New Field: This is the easiest way to access the field extractor. The fields sidebar is a panel that shows all available fields for your data and their values. When you click on Extract New Field in the fields sidebar, Splunk will automatically identify the data type, source type, and sample event for your data based on your current search criteria. You can then use the field extractor to select sample values and generate a regex for your new field.
                                                                Event Actions > Extract Fields: This is another way to access the field extractor. Event actions are actions that you can perform on individual events in your search results, such as viewing event details, adding to report, adding to dashboard, etc. When you click on Extract Fields in the event actions menu, Splunk will use the current event as the sample event for your data and ask you to select the source type and data type for your data. You can then use the field extractor to select sample values and generate a regex for your new field.
                                                                Settings > Field Extractions > New Field Extraction: This is a more advanced way to access the field extractor. Settings is a menu that allows you to configure various aspects of Splunk, such as indexes, inputs, outputs, users, roles, apps, etc. When you click on New Field Extraction in the Settings menu, Splunk will ask you to enter all the details for your new field extraction manually, such as app context, name, source type, data type, sample event, regex, etc. You can then use the field extractor to verify or modify your regex for your new field.


                                                                NEW QUESTION # 12
                                                                Which of the following statements describes the use of the Field Extractor (FX)?

                                                                Answer: B


                                                                NEW QUESTION # 13
                                                                When used with the timechart command, which value of the limit argument returns all values?

                                                                Answer: C

                                                                Explanation:
                                                                The correct answer is D. limit=0. This is because the limit argument specifies the maximum number of series to display in the chart. If you set limit=0, no series filtering occurs and all values are returned. You can learn more about the limit argument and how it works with the agg argument from the Splunk documentation1. The other options are incorrect because they are not valid values for the limit argument. The limit argument expects an integer value, not a string or a wildcard. You can learn more about the syntax and usage of the timechart command from the Splunk documentation23.


                                                                NEW QUESTION # 14
                                                                How does a user display a chart in stack mode?

                                                                Answer: B


                                                                NEW QUESTION # 15
                                                                ......

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