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Splunk SPLK-1004 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Dashboards and Visualizations20%- Advanced dashboard creation
  • 1. drilldowns and interactions
    • 2. dynamic panels and tokens
      - Visualization types
      • 1. charts and tables
        • 2. custom visualization usage
          Topic 2: Data Models and Pivot20%- Data model creation and structure
          • 1. datasets and constraints
            • 2. acceleration and summarization
              - Pivot reports
              • 1. building pivots from data models
                • 2. visualization from pivot tables
                  Topic 3: 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
                          Topic 4: 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 5: Knowledge Objects20%- Lookups and workflow actions
                                    • 1. workflow actions configuration
                                      • 2. lookup tables and automatic enrichment
                                        - Event types, tags, and fields
                                        • 1. tags and event types management
                                          • 2. field extractions and normalization

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                                            Splunk Core Certified Advanced Power User Sample Questions (Q27-Q32):

                                            NEW QUESTION # 27
                                            Consider the following search:
                                            (index=_internal log group=tcpin connections) earliest
                                            | stats count as _count by sourceHost guid fwdType version
                                            | eventstats dc(sourceHost) as dc_sourceHost by guid
                                            | where dc_sourceHost > 1
                                            | fields - dc_sourceHost
                                            | xyseries guid fwdType sourceHost
                                            | search guid="00507345-CE09-4A5E-428-D3E8718CB065"
                                            | appendpipe [ stats count | eval "Duplicate GUID" = if(count==0, "Yes", "No") ] Which of the following are transforming commands?

                                            Answer: D

                                            Explanation:
                                            In Splunk, transforming commands are those that process events to produce statistical summaries, often changing the shape of the data. Among the commands listed:
                                            * stats is a transforming command that computes aggregate statistics, such as count, sum, average, etc., and transforms the data into a tabular format.
                                            * xyseries is also a transforming command that reshapes the data into a matrix format suitable for charting, converting three columns into a two-dimensional table.
                                            The other commands:
                                            * where and search are filtering commands.
                                            * fields is a field selector command.
                                            * appendpipe is a generating command.
                                            * eval is an evaluation command.
                                            * eventstats is a reporting command that adds summary statistics to each event.
                                            References:
                                            stats - Splunk Documentation
                                            xyseries - Splunk Documentation


                                            NEW QUESTION # 28
                                            Which is a regex best practice?

                                            Answer: B

                                            Explanation:
                                            One of the best practices in regex is to avoid backtracking, which can degrade performance by revisiting parts of the input multiple times. Optimizing regex patterns to prevent unnecessary backtracking improves efficiency, especially when dealing with large datasets.


                                            NEW QUESTION # 29
                                            A report named "Linux logins" populates a summary index with the search string sourcetype=linux_secure| sitop src_ip user. Which of the following correctly searches against the summary index for this data?

                                            Answer: A

                                            Explanation:
                                            When searching against summary data in Splunk, it's common to reference the name of the saved search or report that populated the summary index. The correct search syntax to retrieve data from the summary index populated by a report named "Linux logins" is index=summary search_name="Linux logins" | top src_ip user (Option B). This syntax uses the search_name field, which holds the name of the saved search or report that generated the summary data, allowing for precise retrieval of the intended summary data.


                                            NEW QUESTION # 30
                                            What does the query | makeresults generate?

                                            Answer: A

                                            Explanation:
                                            The | makeresults command generates a single event containing default fields, such as _time. It's mainly used to create sample data or placeholder events for testing purposes. The primary field it generates is _time, but the command is used to generate a base event that can be manipulated further.


                                            NEW QUESTION # 31
                                            Which of the following would exclude all entries contained in the lookup file baditems.csv from search results?

                                            Answer: D

                                            Explanation:
                                            The correct way to exclude entries from the lookup file baditems.csv is using NOT [inputlookup baditems.
                                            csv]. This syntax excludes all entries in the lookup from the main search results.


                                            NEW QUESTION # 32
                                            ......

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