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Splunk SPLK-1002 Exam Syllabus Topics:

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

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

                                                                NEW QUESTION # 65
                                                                Which of the following statements about calculated fields in Splunk is true?

                                                                Answer: D

                                                                Explanation:
                                                                The correct answer is B. Calculated fields can be chained together to create more complex fields.
                                                                Calculated fields are fields that are added to events at search time by using eval expressions. They can be used
                                                                to perform calculations with the values of two or more fields already present in those events. Calculated fields
                                                                can be defined with Splunk Web or in the props.conf file.They can be used insearches, reports, dashboards,
                                                                and data models like any other extracted field1.
                                                                Calculated fields can also be chained together to create more complex fields. This means that you can use a
                                                                calculated field as an input for another calculated field. For example, if you have a calculated field
                                                                namedtotalthat sums up the values of two fields namedpriceandtax, you can use thetotalfield to create another
                                                                calculated field nameddiscountthat applies a percentage discount to thetotalfield. To do this, you need to
                                                                define thediscountfield with an eval expression that references thetotalfield, such as:
                                                                discount = total * 0.9
                                                                This will create a new field nameddiscountthat is equal to 90% of thetotalfield value for each event2.
                                                                References:
                                                                About calculated fields
                                                                Chaining calculated fields


                                                                NEW QUESTION # 66
                                                                Which of the following searches would create a graph similar to the one below?

                                                                Answer: B

                                                                Explanation:
                                                                The following search would create a graph similar to the one below:
                                                                index_internal sourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan=1d | timechart count by status The search does the following:
                                                                It uses index_internal to specify the internal index that contains Splunk logs and metrics.
                                                                It uses sourcetype=Savesplunker to filter events by the sourcetype that indicates the Splunk Enterprise Security app.
                                                                It uses fields sourcetype, status to keep only the sourcetype and status fields in the events.
                                                                It uses transaction status maxspan=1d to group events into transactions based on the status field with a maximum time span of one day between the first and last events in a transaction.
                                                                It uses timechart count by status to create a time-based chart that shows the count of transactions for each status value over time.
                                                                The graph shows the following:
                                                                It is a line graph with two lines, one yellow and one blue.
                                                                The x-axis is labeled with dates from Wed, Apr 4, 2018 to Tue, Apr 10, 2018.
                                                                The y-axis is labeled with numbers from 0 to 15.
                                                                The yellow line represents "shipped" and the blue line represents "success".
                                                                The yellow line has a steady increase from 0 to 15, while the blue line has a sharp increase from 0 to 5, then a decrease to 0, and then a sharp increase to 10.
                                                                The graph is titled "Type".
                                                                Therefore, option C is the correct answer.


                                                                NEW QUESTION # 67
                                                                Which of the following is a function of the Splunk Common Information Model (CIM)?

                                                                Answer: B

                                                                Explanation:
                                                                Explanation/Reference: https://docs.splunk.com/Documentation/CIM/4.18.0/User/Overview


                                                                NEW QUESTION # 68
                                                                In what order are the following knowledge objects/configurations applied?

                                                                Answer: C

                                                                Explanation:
                                                                Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/WhatisSplunkknowledge


                                                                NEW QUESTION # 69
                                                                Which method in the Field Extractor would extract the port number from the following event? |
                                                                10/20/2022 - 125.24.20.1 ++++ port 54 - user: admin <web error>

                                                                Answer: C

                                                                Explanation:
                                                                The rex command allows you to extract fields from events using regular expressions. You can use the rex command to specify a named group that matches the port number in the event. For example:
                                                                rex "\+\+\+\+port (?<port>\d+)"
                                                                This will create a field called port with the value 54 for the event.
                                                                The delimiter method is not suitable for this event because there is no consistent delimiter between the fields. The regular expression method is not a valid option for the Field Extractor tool. The Field Extractor tool can extract regular expressions, but it is not a method by itself.


                                                                NEW QUESTION # 70
                                                                ......

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