SPLK-1004 Updated resource New Question exam topics

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Splunk SPLK-1004 Exam Syllabus Topics:

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

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                                            Splunk Core Certified Advanced Power User Sample Questions (Q65-Q70):

                                            NEW QUESTION # 65
                                            When would a distributable streaming command be executed on an indexer?

                                            Answer: C

                                            Explanation:
                                            A distributable streaming command would be executed on an indexer if all preceding search commands are executed on the indexer, enhancing search efficiency by processing data where it resides.
                                            Adistributable streaming commandis executed on an indexerif all preceding search commands are executed on the indexer. This ensures that the entire pipeline up to that point can be processed locally on the indexer without requiring intermediate results to be sent to the search head.
                                            Here's why this works:
                                            * Distributable Streaming Commands: These commands process data in a streaming manner and can run on indexers if all prior commands in the pipeline are also distributable. Examples includeeval,fields
                                            , andrex.
                                            * Execution Location: For a command to execute on an indexer, all preceding commands must also be distributable. If any non-distributable command (e.g.,stats,transaction) is encountered, processing shifts to the search head.


                                            NEW QUESTION # 66
                                            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: D

                                            Explanation:
                                            The correct way to search against the summary index for this data is:
                                            index=summary search_name= " Linux logins " | stats count by src_ip user Here's why this works:
                                            Summary Index: Summary indexes store pre-aggregated data generated by scheduled reports or saved searches. To query this data, you must specify theindex=summaryand filter by thesearch_namefield, which identifies the specific report that populated the summary index.
                                            Aggregation: The original search usedsitop, which is designed for summary indexing. When querying the summary index, you should usestatsto aggregate the pre-aggregated data further.
                                            Example:
                                            index=summary search_name= " Linux logins "
                                            | stats count by src_ip user
                                            References:
                                            Splunk Documentation on Summary Indexing:https://docs.splunk.com/Documentation/Splunk/latest
                                            /Knowledge/Usesummaryindexing
                                            Splunk Documentation onsitop:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/sitop


                                            NEW QUESTION # 67
                                            What is the function of the |s token filter?

                                            Answer: D

                                            Explanation:
                                            In Splunk's Simple XML dashboards, token filters modify how token values are rendered. The |s token filter specifically wraps the token value in double quotes and escapes any internal quotation marks. This is particularly useful when constructing search strings that require quoted values.
                                            For example, using $token_name|s$ ensures that the value of token_name is enclosed in double quotes, which is essential when the value contains spaces or special characters.
                                            Reference:Token usage in dashboards - Splunk Documentation


                                            NEW QUESTION # 68
                                            Assuming a standard time zone across the environment, what syntax will always return ewnts from between
                                            2:00am and 5:00am?

                                            Answer: B

                                            Explanation:
                                            To always return events from between 2:00 AM and 5:00 AM, assuming a standard time zone across the environment, the correct Splunk search syntax is earliest=-2h@h AND latest=-5h@h (Option B). This syntax uses relative time modifiers to specify a range starting 2 hours ago from the current hour (-2h@h) and ending
                                            5 hours ago from the current hour (-5h@h), effectively capturing the desired time window.


                                            NEW QUESTION # 69
                                            Why is the transaction command slow in large Splunk deployments?

                                            Answer: C

                                            Explanation:
                                            The transaction command can be slow in large deployments because it requires all event data relevant to the transaction to be returned to the search head, which can be resource-intensive.


                                            NEW QUESTION # 70
                                            ......

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