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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. stats, timechart, chart
        • 2. transforming commands usage
          • 3. eval and statistical functions
            Topic 2: Dashboards and Visualizations20%- Advanced dashboard creation
            • 1. dynamic panels and tokens
              • 2. drilldowns and interactions
                - Visualization types
                • 1. custom visualization usage
                  • 2. charts and tables
                    Topic 3: Search Optimization and Knowledge Management15%- Search efficiency
                    • 1. search acceleration strategies
                      • 2. event indexing concepts
                        - Knowledge object governance
                        • 1. best practices for knowledge reuse
                          • 2. permissions and sharing
                            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: Knowledge Objects20%- Event types, tags, and fields
                                    • 1. tags and event types management
                                      • 2. field extractions and normalization
                                        - Lookups and workflow actions
                                        • 1. lookup tables and automatic enrichment
                                          • 2. workflow actions configuration

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                                            Splunk Core Certified Advanced Power User Sample Questions (Q116-Q121):

                                            NEW QUESTION # 116
                                            Which commands can run on both search heads and indexers?

                                            Answer: A

                                            Explanation:
                                            Distributable streaming commands operate on each event independently and can be distributed across indexers for parallel execution, improving search efficiency and scalability.


                                            NEW QUESTION # 117
                                            Which of the following fields are provided by the fieldsummary command? (Select all that apply)

                                            Answer: A,B

                                            Explanation:
                                            The fieldsummary command provides statistical summaries of fields, including the count of events containing the field (count) and the distinct count of field values (dc). Standard deviation (stdev) and mean are not provided by fieldsummary, but can be calculated using commands like stats.


                                            NEW QUESTION # 118
                                            Which function of the stats command creates a multivalue entry?

                                            Answer: C

                                            Explanation:
                                            The list function of the stats command creates a multivalue entry, combining multiple occurrences of a field into a single multivalue field.
                                            Thelistfunction of thestatscommand creates amultivalue entryby aggregating values from multiple events into a single field. This is particularly useful when you want to group data and collect all matching values into a list.
                                            Here's why this works:
                                            * Purpose of list: Thelistfunction collects all values of a specified field for each group and stores them as a multivalue field. For example, if you group byuser_id, thelistfunction will create a multivalue field containing all correspondingproductvalues for that user.
                                            * Multivalue Fields: Multivalue fields allow you to handle multiple values within a single field, which can be expanded or manipulated using commands likemvexpandorforeach.
                                            References:
                                            * Splunk Documentation onstats:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
                                            /stats
                                            * Splunk Documentation on Multivalue Fields:https://docs.splunk.com/Documentation/Splunk/latest
                                            /SearchReference/MultivalueEvalFunctions


                                            NEW QUESTION # 119
                                            When would a distributable streaming command be executed on an Indexer?

                                            Answer: D

                                            Explanation:
                                            A distributable streaming command would be executed on an indexer if all preceding search commands are executed on the indexer (Option C). Distributable streaming commands are designed to be executed where the data resides, reducing data transfer across the network and leveraging the processing capabilities of indexers.
                                            This enhances the overall efficiency and performance of Splunk searches, especially in distributed environments.


                                            NEW QUESTION # 120
                                            If a search contains a subsearch, what is the order of execution?

                                            Answer: D

                                            Explanation:
                                            In a Splunk search containing a subsearch, the inner subsearch executes first (Option B). The result of the subsearch is then passed to the outer search. This is because the outer search often depends on the results of the inner subsearch to complete its execution. For example, a subsearch might be used to identify a list of relevant terms or values which are then used by the outer search to filter or manipulate the main dataset.


                                            NEW QUESTION # 121
                                            ......

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