SPLK-1004関連資格試験対応 & SPLK-1004日本語練習問題

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Splunk SPLK-1004 Exam Syllabus Topics:

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

                                            >> SPLK-1004関連資格試験対応 <<

                                            SPLK-1004日本語練習問題、SPLK-1004ファンデーション

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                                            Splunk Core Certified Advanced Power User 認定 SPLK-1004 試験問題 (Q91-Q96):

                                            質問 # 91
                                            Which commands can run on both search heads and indexers?

                                            正解：A

                                            解説：
                                            Distributable streaming commands operate on each event independently and can be distributed across indexers for parallel execution, improving search efficiency and scalability.


                                            質問 # 92
                                            When using the bin command, which argument sets the bin size?

                                            正解：C

                                            解説：
                                            In Splunk, the span argument is used to set the size of each bin when using the bin command, determining the granularity of segmented data over a time range or numerical field.


                                            質問 # 93
                                            Which commands should be used in place of a subsearch if possible?

                                            正解：C

                                            解説：
                                            stats and eval are recommended over subsearches because they are more efficient and scalable. Subsearches can be slow and resource-intensive, whereas stats aggregates data, and eval performs calculations within the search.
                                            The stats and eval commands should be used instead of subsearches whenever possible because subsearches have performance limitations. They return only a maximum of 10,000 results or execute within 60 seconds by default, which may cause incomplete results. Using stats allows aggregation of large datasets efficiently, while eval can manipulate field values within a search rather than relying on subsearches.
                                            Reference:
                                            Splunk Documentation - Stats Command
                                            Splunk Documentation - Eval Command


                                            質問 # 94
                                            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?

                                            正解：B

                                            解説：
                                            When searching a summary index, using search_name="Linux logins" ensures you retrieve data generated by that specific report. Option B correctly searches the summary index by referencing the report's name.


                                            質問 # 95
                                            Which of the following most accurately defines a base search?

                                            正解：D

                                            解説：
                                            A base search in Splunk is a foundational search query defined within a dashboard that can be referenced by multiple panels. This approach promotes efficiency by allowing multiple panels to display different aspects or visualizations of the same dataset without executing separate searches for each panel.
                                            Key Points:
                                            * Definition: A base search is a primary search defined once in a dashboard's XML and referenced by other panels through post-process searches.
                                            * Post-Process Searches: These are additional search commands applied to the results of the base search. They refine or transform the base search results to meet specific panel requirements.
                                            * Benefits:
                                            * Performance Optimization: Reduces the number of searches executed, thereby conserving system resources.
                                            * Consistency: Ensures all panels referencing the base search use the same dataset, maintaining uniformity across the dashboard.
                                            Example:
                                            Consider a dashboard that needs to display various statistics about web traffic:
                                            * Base Search:
                                            <search name="base_search">
                                            index=web_logs | stats count by status_code
                                            </search>
                                            * Panel 1 (Total Requests):
                                            <panel>
                                            <title>Total Requests</title>
                                            <search base="base_search">
                                            | stats sum(count) as total_requests
                                            </search>
                                            </panel>
                                            * Panel 2 (Error Rate):
                                            <panel>
                                            <title>Error Rate</title>
                                            <search base="base_search">
                                            | where status_code >= 400
                                            | stats sum(count) as error_count
                                            </search>
                                            </panel>
                                            In this example:
                                            * The base_search retrieves the count of events grouped by status_code from the web_logs index.
                                            * Panel 1 calculates the total number of requests by summing the count field.
                                            * Panel 2 filters for error status codes (400 and above) and calculates the total number of errors.
                                            By defining a base search, both panels utilize the same initial dataset, ensuring consistency and reducing redundant processing.


                                            質問 # 96
                                            ......

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