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Splunk SPLK-1002 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Workflow Actions10%- Workflow action types
  • 1. Search workflow actions
    • 2. GET workflow actions
      • 3. POST workflow actions
        Topic 2: Macros10%- Search macros
        • 1. Create and use basic macros
          • 2. Macros with arguments
            Topic 3: Creating and Managing Fields10%- Field extraction methods
            • 1. Delimiter field extraction using Field Extractor (FX)
              • 2. Regex field extraction using Field Extractor (FX)
                Topic 4: Field Aliases and Calculated Fields10%- Field enrichment
                • 1. Calculated fields
                  • 2. Field aliases
                    Topic 5: Tags and Event Types10%- Knowledge objects
                    • 1. Create event types
                      • 2. Event types usage
                        • 3. Create and use tags
                          Topic 6: Using Transforming Commands for Visualizations5%- Visualization commands
                          • 1. timechart command
                            • 2. chart command
                              Topic 7: Common Information Model (CIM)10%- Data normalization
                              • 1. Using CIM add-ons
                                • 2. Purpose of CIM
                                  • 3. Data normalization techniques
                                    Topic 8: Correlating Events15%- Event correlation techniques
                                    • 1. Group events using fields
                                      • 2. Group events using fields and time
                                        • 3. When to use transactions vs stats
                                          • 4. Identify transactions
                                            • 5. Report on transactions
                                              • 6. Search with transactions
                                                Topic 9: Data Models10%- Data model concepts
                                                • 1. Data model structure
                                                  • 2. Data model attributes
                                                    • 3. Pivot usage
                                                      • 4. Create data models
                                                        Topic 10: Filtering and Formatting Results10%- Search and evaluation commands
                                                        • 1. fillnull command
                                                          • 2. search command
                                                            • 3. where command
                                                              • 4. eval command

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                                                                Splunk Core Certified Power User Exam Sample Questions (Q241-Q246):

                                                                NEW QUESTION # 241
                                                                Which of the following file formats can be extracted using a delimiter field extraction?

                                                                Answer: B

                                                                Explanation:
                                                                Explanation
                                                                A delimiter field extraction is a method of extracting fields from data that uses a character or a string to separate fields in each event. A delimiter field extraction can be performed by using the Field Extractor (FX) tool or by editing the props.conf file. A delimiter field extraction can be applied to any file format that uses a delimiter to separate fields, such as CSV, TSV, PSV, etc. A CSV file is a comma-separated values file that uses commas as delimiters. Therefore, a CSV file can be extracted using a delimiter field extraction.


                                                                NEW QUESTION # 242
                                                                What does the fillnull command do in this search?
                                                                index=main sourcetype=http:log | fillnull value="Unknown" src

                                                                Answer: D

                                                                Explanation:
                                                                The fillnull command replaces null or missing values in specified fields with a given replacement value. In this example, the command sets the src field to "Unknown" wherever it is null. It does not affect other fields or convert values from "Unknown" back to null.
                                                                Reference:
                                                                Splunk Power User Study Guide, Search Commands Section
                                                                Splunk Docs: fillnull Command
                                                                "fillnull replaces null field values with a specified string or number for a given field or fields."


                                                                NEW QUESTION # 243
                                                                Which of the following statements is true, especially in large environments?

                                                                Answer: B

                                                                Explanation:
                                                                Reference:https://answers.splunk.com/answers/103/transaction-vs-stats-commands.html


                                                                NEW QUESTION # 244
                                                                What fields does the transaction command add to the raw events? (select all that apply)

                                                                Answer: B,D

                                                                Explanation:
                                                                Hello, this is Bing. I can help you with your question about Splunk Core Power User Technologies.
                                                                The correct answers are B. duration and D. transaction id.
                                                                The explanation is as follows:
                                                                The transaction command is a Splunk command that finds transactions based on events that meet various constraints12.
                                                                Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the earliest member, as well as the union of all other fields of each member12.
                                                                The transaction command adds some fields to the raw events that are part of the transaction123. These fields are:
                                                                duration: The difference, in seconds, between the timestamps for the first and last events in the transaction123.
                                                                eventcount: The number of events in the transaction123.
                                                                transaction_id: A unique identifier for each transaction3. This field is useful for filtering or joining transactions3.
                                                                Therefore, the fields that the transaction command adds to the raw events are duration and transaction_id, which are options B and D in your question.


                                                                NEW QUESTION # 245
                                                                Which is not a comparison operator in Splunk

                                                                Answer: B

                                                                Explanation:
                                                                Explanation
                                                                A comparison operator is a symbol that compares two values and returns a Boolean result (true or false)2. Splunk supports various comparison operators such as <, >, =, !=, <=, >=, IN and LIKE2. However,
                                                                ?= is not a valid comparison operator in Splunk and will cause a syntax error if used in a search string2.
                                                                Therefore, option E is correct, while options A, B, C and D are incorrect because they are valid comparison operators in Splunk


                                                                NEW QUESTION # 246
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