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Splunk SPLK-1004 Exam Syllabus Topics:

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

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                                            Splunk Core Certified Advanced Power User SPLK-1004 Prüfungsfragen mit Lösungen (Q29-Q34):

                                            29. Frage
                                            What does using the tstats command with summariesonly=false do?

                                            Antwort: A

                                            Begründung:
                                            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.


                                            30. Frage
                                            What file types does Splunk use to define geospatial lookups?

                                            Antwort: C

                                            Begründung:
                                            Splunk uses KMZ or KML files to define geospatial lookups. These formats are designed for geographic annotation and mapping, making them ideal for geospatial data in Splunk.


                                            31. Frage
                                            What are the four types of event actions?

                                            Antwort: B

                                            Begründung:
                                            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.


                                            32. Frage
                                            Where can wildcards be used in the tstats command?

                                            Antwort: A

                                            Begründung:
                                            Wildcards can be used in the from clause of the tstats command in Splunk. This allows users to query across multiple datasets or data models that share a common naming pattern.


                                            33. Frage
                                            Repeating JSON data structures within one event will be extracted as what type of fields?

                                            Antwort: C

                                            Begründung:
                                            When Splunk encounters repeating JSON data structures in an event, they are extracted as multivalue fields.
                                            These allow multiple values to be stored under a single field, which is common with arrays in JSON data.
                                            When Splunk extracts repeating JSON data structures within a single event, it represents them asmultivalue fields. A multivalue field is a field that contains multiple values, which can be iterated over or expanded using commands likemvexpandorforeach.
                                            Here's why this works:
                                            JSON Data Extraction: Splunk automatically parses JSON data into fields. If a JSON key has an array of values (e.g., " products " : [ " productA " , " productB " , " productC " ]), Splunk creates a multivalue field for that key.
                                            Multivalue Fields: These fields allow you to handle multiple values for the same key within a single event.
                                            For example, if the JSON keyproductscontains an array of product names, Splunk will store all the values in a single multivalue field namedproducts.
                                            {
                                            " event " : " purchase " ,
                                            " products " : [ " productA " , " productB " , " productC " ]
                                            }
                                            References:
                                            Splunk Documentation on JSON Data Extraction:https://docs.splunk.com/Documentation/Splunk/latest/Data
                                            /ExtractfieldsfromJSON
                                            Splunk Documentation on Multivalue Fields:https://docs.splunk.com/Documentation/Splunk/latest
                                            /SearchReference/MultivalueEvalFunctions


                                            34. Frage
                                            ......

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