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Splunk SPLK-1004 Exam Syllabus Topics:

SectionWeightObjectives
Search Optimization and Knowledge Management15%- Search efficiency
  • 1. event indexing concepts
    • 2. search acceleration strategies
      - Knowledge object governance
      • 1. best practices for knowledge reuse
        • 2. permissions and sharing
          Knowledge Objects20%- Event types, tags, and fields
          • 1. field extractions and normalization
            • 2. tags and event types management
              - Lookups and workflow actions
              • 1. workflow actions configuration
                • 2. lookup tables and automatic enrichment
                  Data Models and Pivot20%- Data model creation and structure
                  • 1. acceleration and summarization
                    • 2. datasets and constraints
                      - Pivot reports
                      • 1. visualization from pivot tables
                        • 2. building pivots from data models
                          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
                                  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. eval and statistical functions
                                          • 3. transforming commands usage

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                                            Splunk Core Certified Advanced Power User SPLK-1004 Prüfungsfragen mit Lösungen (Q36-Q41):

                                            36. Frage
                                            If a search contains a subsearch, what is the order of execution?

                                            Antwort: D

                                            Begründung:
                                            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.


                                            37. Frage
                                            What is the correct hierarchy of XML elements in a dashboard panel?

                                            Antwort: C

                                            Begründung:
                                            In a Splunk dashboard, the correct hierarchy of XML elements for a dashboard panel is
                                            <dashboard><row><panel> (Option B). A Splunk dashboard is defined within the <dashboard> element.
                                            Within this, <row> elements are used to organize the layout into rows, and each <panel> element within a row defines an individual panel that can contain visualizations, searches, or other content. This hierarchical structure allows for organized and customizable layouts of dashboard elements, facilitating clear presentation of data and analyses. The other options provided do not represent the correct hierarchical order for defining dashboard panels in Splunk's XML dashboard syntax.


                                            38. Frage
                                            Which of the following is true about thesummariesonly=targument of thetstatscommand?

                                            Antwort: C

                                            Begründung:
                                            Comprehensive and Detailed Step by Step Explanation:
                                            Thesummariesonly=targument of thetstatscommandapplies only to accelerated data models. It ensures that the search uses only the precomputed summaries of the data model, ignoring raw data.
                                            Here's why this works:
                                            Purpose of summariesonly=t: When set totrue, thetstatscommand restricts the search to use only the accelerated summaries of the data model. This improves performance but may exclude events that are not part of the summary.
                                            Accelerated Data Models: Acceleration creates summaries of data models, making them faster to query.
                                            Usingsummariesonly=tensures that only these summaries are queried, avoiding raw data entirely.
                                            Other options explained:
                                            Option B: Incorrect becausesummariesonly=tdoes not apply to unaccelerated data models; it requires acceleration to function.
                                            Option C: Incorrect becausesummariesonly=tapplies only to accelerated data models, not unaccelerated ones.
                                            Option D: Incorrect becausesummariesonly=ttypically produces fewer results, as it excludes raw data that is not part of the summary.
                                            Example:
                                            | tstats count WHERE index=_internal summariesonly=t BY sourcetype
                                            This query uses only the accelerated summaries of the_internalindex.
                                            References:
                                            Splunk Documentation ontstats:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/tstats Splunk Documentation on Data Model Acceleration:https://docs.splunk.com/Documentation/Splunk/latest
                                            /Knowledge/Acceleratedatamodels


                                            39. Frage
                                            When working with an accelerated data model acc_datmodel and an unaccelerated data model unacc_datmodel, what tstats query could be used to search one of these data models?

                                            Antwort: B

                                            Begründung:
                                            The tstats command in Splunk is optimized for performance and is typically used with accelerated data models. The summariesonly parameter determines whether the search should use only the summarized (accelerated) data or fall back to raw data if necessary.
                                            * Setting summariesonly=false allows the search to use both summarized and raw data, making it suitable for both accelerated and unaccelerated data models.
                                            * Setting summariesonly=true restricts the search to only summarized data, which would result in no data returned if the data model is not accelerated.
                                            Therefore, to search an accelerated data model and allow fallback to raw data if needed, the correct query is:
                                            | tstats count from datamodel=acc_datmodel summariesonly=false
                                            References:
                                            tstats - Splunk Documentation


                                            40. Frage
                                            What XML element is used to pass multiple fields into another dashboard using a dynamic drilldown?

                                            Antwort: B

                                            Begründung:
                                            In Splunk Simple XML for dashboards, dynamic drilldowns are configured within the<drilldown>element, not<link>,<condition>, or<pass_token>. To pass multiple fields to another dashboard, you would use a combination of<set>tokens within the<drilldown>element. Each<set>token specifies a field or value to be passed. The correct configuration might look something like this within the<drilldown>element:
                                            <drilldown>
                                            <set token="token1">$row.field1$</set>
                                            <set token="token2">$row.field2$</set>
                                            <link target="_blank">/app/search/new_dashboard</link>
                                            </drilldown>
                                            In this configuration,$row.field1$and$row.field2$are placeholders for the field values from the clicked event, which are assigned to tokenstoken1andtoken2. These tokens can then be used in the target dashboard to receive the values. The<link>element specifiesthe target dashboard. Note that the exact syntax can vary based on the specific requirements of the drilldown and the dashboard configuration.


                                            41. Frage
                                            ......

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