SPLK-1002 Certified | SPLK-1002 Latest Test Sample

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Splunk SPLK-1002 Exam Syllabus Topics:

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

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                                                                Splunk Core Certified Power User Exam Sample Questions (Q296-Q301):

                                                                NEW QUESTION # 296
                                                                What other syntax will produce exactly the same results as | chart count over vendor_action by user?

                                                                Answer: B


                                                                NEW QUESTION # 297
                                                                These are the default selected fields.

                                                                Answer: A


                                                                NEW QUESTION # 298
                                                                Which of the following statements describes the use of the Filed Extractor (FX)?

                                                                Answer: D

                                                                Explanation:
                                                                Explanation
                                                                The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical interface or by manually editing the regular expression2. The FX allows you to create field extractions that persist as knowledge objects, which are entities that you create to add knowledge to your data and make it easier to search and analyze2. Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2. When you create a field extraction using the FX, you can save it as a knowledge object that applies to your data at search time2. You can also manage and share your field extractions with other users in your organization2. Therefore, option C is correct, while options A, B and D are incorrect because they do not describe the use of the FX.


                                                                NEW QUESTION # 299
                                                                How does a user display a chart in stack mode?

                                                                Answer: B

                                                                Explanation:
                                                                Explanation
                                                                A chart is a graphical representation of your search results that shows the relationship between two or more fields2. You can display a chart in stack mode by changing the Stack Mode option in the Format menu2. Stack mode allows you to stack multiple series on top of each other in a chart to show the cumulative values of each series2. Therefore, option C is correct, while options A, B and D are incorrect because they are not ways to display a chart in stack mode.


                                                                NEW QUESTION # 300
                                                                Which of the following describes the Splunk Common Information Model (CIM) add-on?

                                                                Answer: D

                                                                Explanation:
                                                                The Splunk Common Information Model (CIM) add-on is a Splunk app that contains data models to help you
                                                                normalize data from different sources and formats. The CIM add-on defines a common and consistent way of
                                                                naming and categorizing fields and events in Splunk. This makes it easier to correlate and analyze data across
                                                                different domains, such as network, security, web, etc. The CIM add-on does not use machine learning to
                                                                normalize data, but rather relies on predefined field names and values. The CIM add-on does not contain
                                                                dashboards that show how to map data, but rather provides documentation and examples on how to use the
                                                                data models. The CIM add-on is not automatically installed in a Splunk environment, but rather needs to be
                                                                downloaded and installed from Splunkbase.


                                                                NEW QUESTION # 301
                                                                ......

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