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Splunk SPLK-1004 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Searching and Reporting with SPL25%- Search optimization techniques
  • 1. caching and acceleration concepts
    • 2. search performance tuning
      - Advanced SPL search commands
      • 1. transforming commands usage
        • 2. stats, timechart, chart
          • 3. eval and statistical functions
            Topic 2: Search Optimization and Knowledge Management15%- Knowledge object governance
            • 1. best practices for knowledge reuse
              • 2. permissions and sharing
                - Search efficiency
                • 1. event indexing concepts
                  • 2. search acceleration strategies
                    Topic 3: Knowledge Objects20%- Event types, tags, and fields
                    • 1. field extractions and normalization
                      • 2. tags and event types management
                        - Lookups and workflow actions
                        • 1. lookup tables and automatic enrichment
                          • 2. workflow actions configuration
                            Topic 4: Data Models and Pivot20%- Data model creation and structure
                            • 1. acceleration and summarization
                              • 2. datasets and constraints
                                - Pivot reports
                                • 1. building pivots from data models
                                  • 2. visualization from pivot tables
                                    Topic 5: Dashboards and Visualizations20%- Visualization types
                                    • 1. charts and tables
                                      • 2. custom visualization usage
                                        - Advanced dashboard creation
                                        • 1. dynamic panels and tokens
                                          • 2. drilldowns and interactions

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

                                            NEW QUESTION # 10
                                            What are the results from the transaction command when keepevicted=true?

                                            Answer: A

                                            Explanation:
                                            The keepevicted parameter in the transaction command controls whether evicted transactions are included in the search results. Evicted transactions are those that were not completed within specified constraints like maxspan, maxpause, or maxevents.
                                            According to Splunk Documentation:
                                            "keepevicted: Whether to output evicted transactions. Evicted transactions can be distinguished from non- evicted transactions by checking the value of the 'closed_txn' field."
                                            "The 'closed_txn' field is set to '0' for evicted transactions and '1' for closed transactions." By setting keepevicted=true, you ensure that these incomplete or failed transactions are included in your search results, allowing for comprehensive analysis.
                                            Reference:transaction - Splunk Documentation


                                            NEW QUESTION # 11
                                            What are the four types of event actions?

                                            Answer: B

                                            Explanation:
                                            The four types of event actions in Splunk are eval, link, change, and clear (Option C). These actions can be used in dashboard panel configurations to dynamically interact with or manipulate event data based on user inputs or other criteria. Eval is used for calculating fields, link for creating hyperlinks, change for modifying field values, and clear for removing field values or other data elements.


                                            NEW QUESTION # 12
                                            Which of the following are potential string results returned by the typeof function?

                                            Answer: D

                                            Explanation:
                                            Thetypeoffunction in Splunk is used to determine the data type of a field or value.It returns one of the following string results:
                                            * Number: Indicates that the value is numeric.
                                            * String: Indicates that the value is a text string.
                                            * Bool: Indicates that the value is a Boolean (true/false).
                                            Here's why this works:
                                            * Purpose of typeof: Thetypeoffunction is commonly used in conjunction with theevalcommand to inspect the data type of fields or expressions. This is particularly useful when debugging or ensuring that fields are being processed as expected.
                                            * Return Values: The function categorizes values into one of the three primary data types supported by Splunk:Number,String, orBool.
                                            Example:
                                            | makeresults
                                            | eval example_field = "123"
                                            | eval type = typeof(example_field)
                                            This will produce:
                                            _time example_field type
                                            ------------------- -------------- ------
                                            <current_timestamp> 123 String
                                            Other options explained:
                                            * Option A: Incorrect becauseTrue,False, andUnknownare not valid return values of thetypeoffunction.
                                            These might be confused with Boolean logic but are not related to data type identification.
                                            * Option C: Incorrect becauseNullis not a valid return value oftypeof. Instead,Nullrepresents the absence of a value, not a data type.
                                            * Option D: Incorrect becauseField,Value, andLookupare unrelated to thetypeoffunction. These terms describe components of Splunk searches, not data types.
                                            References:
                                            * Splunk Documentation ontypeof:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
                                            /CommonEvalFunctions
                                            * Splunk Documentation on Data Types:https://docs.splunk.com/Documentation/Splunk/latest/Search
                                            /Aboutfields


                                            NEW QUESTION # 13
                                            Which commands should be used in place of a subsearch if possible?

                                            Answer: A

                                            Explanation:
                                            stats and eval are recommended over subsearches because they are more efficient and scalable. Subsearches can be slow and resource-intensive, whereas stats aggregates data, and eval performs calculations within the search.
                                            The stats and eval commands should be used instead of subsearches whenever possible because subsearches have performance limitations. They return only a maximum of 10,000 results or execute within 60 seconds by default, which may cause incomplete results. Using stats allows aggregation of large datasets efficiently, while eval can manipulate field values within a search rather than relying on subsearches.


                                            NEW QUESTION # 14
                                            Which function of the stats command creates a multivalue entry?

                                            Answer: B

                                            Explanation:
                                            The list function of the stats command creates a multivalue entry, combining multiple occurrences of a field into a single multivalue field.


                                            NEW QUESTION # 15
                                            ......

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