SPLK-1002合格受験記 & SPLK-1002日本語解説集

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Splunk SPLK-1002 Exam Syllabus Topics:

SectionWeightObjectives
Common Information Model (CIM)10%- Data normalization
  • 1. Purpose of CIM
    • 2. Using CIM add-ons
      • 3. Data normalization techniques
        Data Models10%- Data model concepts
        • 1. Create data models
          • 2. Pivot usage
            • 3. Data model attributes
              • 4. Data model structure
                Filtering and Formatting Results10%- Search and evaluation commands
                • 1. eval command
                  • 2. search command
                    • 3. where command
                      • 4. fillnull command
                        Workflow Actions10%- Workflow action types
                        • 1. POST workflow actions
                          • 2. GET workflow actions
                            • 3. Search workflow actions
                              Correlating Events15%- Event correlation techniques
                              • 1. When to use transactions vs stats
                                • 2. Search with transactions
                                  • 3. Group events using fields and time
                                    • 4. Report on transactions
                                      • 5. Group events using fields
                                        • 6. Identify transactions
                                          Tags and Event Types10%- Knowledge objects
                                          • 1. Create event types
                                            • 2. Event types usage
                                              • 3. Create and use tags
                                                Creating and Managing Fields10%- Field extraction methods
                                                • 1. Regex field extraction using Field Extractor (FX)
                                                  • 2. Delimiter field extraction using Field Extractor (FX)
                                                    Field Aliases and Calculated Fields10%- Field enrichment
                                                    • 1. Calculated fields
                                                      • 2. Field aliases
                                                        Macros10%- Search macros
                                                        • 1. Macros with arguments
                                                          • 2. Create and use basic macros
                                                            Using Transforming Commands for Visualizations5%- Visualization commands
                                                            • 1. chart command
                                                              • 2. timechart command

                                                                >> SPLK-1002合格受験記 <<

                                                                ユニークなSPLK-1002合格受験記一回合格-高品質なSPLK-1002日本語解説集

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                                                                Splunk Core Certified Power User Exam 認定 SPLK-1002 試験問題 (Q134-Q139):

                                                                質問 # 134
                                                                __________ datasets can be added to root dataset to narrow down the search

                                                                正解:B


                                                                質問 # 135
                                                                Which field will be used to populate the field if the productName and product:d fields have values for a given
                                                                event?
                                                                | eval productINFO=coalesco(productName,productid)

                                                                正解:A

                                                                解説:
                                                                The correct answer is B. The value for the productName field because it appears first.
                                                                The coalesce function is an eval function that takes an arbitrary number of arguments and returns the first
                                                                value that is not null.A null value means that the field has no value at all, while an empty value means that the
                                                                field has a value, but it is "" or zero-length1.
                                                                The coalesce function can be used to combine fields that have different names but represent the same data,
                                                                such as IP address or user name.The coalesce function can also be used to rename fields for clarity or
                                                                convenience2.
                                                                The syntax for the coalesce function is:
                                                                coalesce(<field1>,<field2>,...)
                                                                The coalesce function will return the value of the first field that is not null in the argument list. If all fields are
                                                                null, the coalesce function will return null.
                                                                For example, if you have a set of events where the IP address is extracted to either clientip or ipaddress, you
                                                                can use the coalesce function to define a new field called ip, that takes the value of either clientip or ipaddress,
                                                                depending on which is not null:
                                                                | eval ip=coalesce(clientip,ipaddress)
                                                                In your example, you have a set of events where the product name is extracted to either productName or
                                                                productid, and you use the coalesce function to define a new field called productINFO, that takes the value of
                                                                either productName or productid, depending on which is not null:
                                                                | eval productINFO=coalesce(productName,productid)
                                                                If both productName and productid fields have values for a given event, the coalesce function will return the
                                                                value of the productName field because it appears first in the argument list. The productid field will be ignored
                                                                by the coalesce function.
                                                                Therefore, the value for the productName field will be used to populate the productINFO field if both fields
                                                                have values for a given event.
                                                                References:
                                                                Search Command> Coalesce
                                                                USAGE OF SPLUNK EVAL FUNCTION : COALESCE


                                                                質問 # 136
                                                                Which workflow action type performs a secondary search?

                                                                正解:D

                                                                解説:
                                                                The correct answer is D. Search.
                                                                A workflow action is a knowledge object that enables a variety of interactions between fields in events and other web resources. Workflow actions can create HTML links, generate HTTP POST requests, or launch secondary searches based on field values1.
                                                                There are three types of workflow actions that can be set up using Splunk Web: GET, POST, and Search2.
                                                                * GET workflow actions create typical HTML links to do things like perform Google searches on specific values or run domain name queries against external WHOIS databases2.
                                                                * POST workflow actions generate an HTTP POST request to a specified URI. This action type enables you to do things like creating entries in external issue management systems using a set of relevant field values2.
                                                                * Search workflow actions launch secondary searches that use specific field values from an event, such as a search that looks for the occurrence of specific combinations of ipaddress and http_status field values in your index over a specific time range2.
                                                                Therefore, the workflow action type that performs a secondary search is Search.
                                                                References:
                                                                * Splexicon:Workflowaction
                                                                * About workflow actions in Splunk Web


                                                                質問 # 137
                                                                A report scheduled to run every 15 mins. but takes 17 mins. to complete is in danger of being_____.

                                                                正解:C


                                                                質問 # 138
                                                                Data model are composed of one or more of which of the fo-owing datasets? (select all that apply.)

                                                                正解:B、C、D

                                                                解説:
                                                                Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Aboutdatamodels


                                                                質問 # 139
                                                                ......

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