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Splunk SPLK-1004 Exam Syllabus Topics:

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

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                                            Splunk Core Certified Advanced Power User Sample Questions (Q35-Q40):

                                            NEW QUESTION # 35
                                            What does using the tstats command with summariesonly=false do?

                                            Answer: D

                                            Explanation:
                                            Setting summariesonly=false in the tstats command retrieves results from both summarized (accelerated) and non-summarized (raw) data, allowing a more comprehensive analysis of both types of data in the same query.


                                            NEW QUESTION # 36
                                            What is the value of base lispy in the Search Job Inspector for the search index=sales clientip=170.192.178.10?

                                            Answer: D

                                            Explanation:
                                            The base lispy expression represents how Splunk parses and simplifies a search command. In this case, the lispy format shows how Splunk is breaking down the search terms to effectively perform the search.


                                            NEW QUESTION # 37
                                            What is the correct hierarchy of XML elements in a dashboard panel?

                                            Answer: D

                                            Explanation:
                                            The correct XML hierarchy for a dashboard panel is <dashboard><row><panel>. The <dashboard> element contains rows, and within each <row>, there are panels that hold visualizations or searches.


                                            NEW QUESTION # 38
                                            Which command processes a template for a set of related fields?

                                            Answer: A

                                            Explanation:
                                            The foreach command applies a processing step to each field in a set of related fields. It allows repetitive operations to be applied to multiple fields in one go, streamlining tasks across several fields.
                                            Theforeachcommand in Splunk is used to process a template for a set of related fields. It allows you to iterate over multiple fields that share a common naming pattern and apply a transformation or operation to each of them. This is particularly useful when you have a series of similarly named fields (e.g.,field1,field2,field3) and want to perform the same action on all of them without specifying each field individually.
                                            For example, if you have fields likeprice1,price2, andprice3, and you want to convert their values to integers, you can use the following syntax:
                                            References:
                                            Splunk Documentation onforeach:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
                                            /foreach


                                            NEW QUESTION # 39
                                            Which command processes a template for a set of related fields?

                                            Answer: A

                                            Explanation:
                                            The foreach command in Splunk is used to apply a processing step to each field in a set of related fields, making it ideal for performing repetitive tasks across multiple fields without having to specify each field individually. This command can process a template of commands or functions to apply to each specified field, thereby streamlining operations that need to be applied uniformly across multiple data points.


                                            NEW QUESTION # 40
                                            ......

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