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Splunk SPLK-1004 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
          Topic 2: 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 3: Data Models and Pivot20%- Pivot reports
                  • 1. building pivots from data models
                    • 2. visualization from pivot tables
                      - Data model creation and structure
                      • 1. acceleration and summarization
                        • 2. datasets and constraints
                          Topic 4: 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
                                  Topic 5: Searching and Reporting with SPL25%- Search optimization techniques
                                  • 1. caching and acceleration concepts
                                    • 2. search performance tuning
                                      - Advanced SPL search commands
                                      • 1. eval and statistical functions
                                        • 2. stats, timechart, chart
                                          • 3. transforming commands usage

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                                            Splunk Core Certified Advanced Power User Sample Questions (Q26-Q31):

                                            NEW QUESTION # 26
                                            If a search contains a subsearch, what is the order of execution?

                                            Answer: A

                                            Explanation:
                                            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.


                                            NEW QUESTION # 27
                                            Which function of the stats command creates a multivalue entry?

                                            Answer: C

                                            Explanation:
                                            The list function of the stats command creates a multivalue entry, combining multiple occurrences of a field into a single multivalue field.


                                            NEW QUESTION # 28
                                            What is a performance improvement technique unique to dashboards?

                                            Answer: D

                                            Explanation:
                                            Using report acceleration (Option C) is a performance improvement technique unique to dashboards in Splunk.
                                            Report acceleration involves pre-computing the results of a report (which can be a saved search or a dashboard panel) and storing these results in a summary index, allowing dashboards to load faster by retrieving the pre-computed data instead of running the full search each time. This technique is especially useful for dashboards that rely on complex searches or searches over large datasets.


                                            NEW QUESTION # 29
                                            When should summary indexing be used?

                                            Answer: D

                                            Explanation:
                                            Comprehensive and Detailed Step by Step Explanation:Summary indexing should be used forreports that run on small datasets over long time ranges. It is particularly useful when you need to aggregate data over extended periods without querying raw events repeatedly.
                                            Here's why this works:
                                            * Efficiency: Summary indexing pre-aggregates data into summary indexes, reducing the amount of data that needs to be processed during runtime. This improves performance for reports that span long time ranges.
                                            * Small Datasets: Summary indexing is most effective when working with smaller datasets because aggregating large volumes of data can become resource-intensive.
                                            Other options explained:
                                            * Option B: Incorrect because summary indexing is not a fallback for reports that fail to qualify for acceleration methods like report or data model acceleration.
                                            * Option C: Incorrect because summary indexing is less beneficial for short time ranges, where querying raw data is often faster.
                                            * Option D: Incorrect because Smart Mode is unrelated to summary indexing; it is a search optimization feature.
                                            Example: Suppose you want to calculate daily sales totals over a year. Instead of querying raw sales data every time, you can use summary indexing to store daily totals and query the summary index instead.
                                            References:
                                            * Splunk Documentation on Summary Indexing:https://docs.splunk.com/Documentation/Splunk/latest
                                            /Knowledge/Usesummaryindexing
                                            * Splunk Documentation on Report Acceleration:https://docs.splunk.com/Documentation/Splunk/latest
                                            /Knowledge/Acceleratedatamodels


                                            NEW QUESTION # 30
                                            How can form inputs impact dashboard panels using inline searches?

                                            Answer: D

                                            Explanation:
                                            Form inputs in Splunk dashboards can dynamically impact the panels using inline searches by allowing a token in the search to be replaced by a form input value (Option D). This capability enables dashboard panels to update their content based on user interaction with the form elements. When a user makes a selection or enters data into a form input, the corresponding token in the search string of a dashboard panel is replaced with this value, effectively customizing the search based on user input. This feature makes dashboards more interactive and adaptable to different user needs or questions.


                                            NEW QUESTION # 31
                                            ......

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