{"id":19109,"date":"2026-09-22T11:45:56","date_gmt":"2026-09-22T11:45:56","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=19109"},"modified":"2026-09-22T11:45:56","modified_gmt":"2026-09-22T11:45:56","slug":"splunk-splk-1002-practice-test-questions-and-exam-dumps-part7-q121-140","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-1002-practice-test-questions-and-exam-dumps-part7-q121-140\/","title":{"rendered":"Splunk SPLK-1002 Practice Test Questions and Exam Dumps Part7 Q121-140"},"content":{"rendered":"

View Full <\/b>Splunk SPLK-1002 Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/h2>\n

 <\/p>\n

Question 121<\/b><\/h3>\n

Which Splunk command can be used to calculate a percentage or other derived value from existing fields?<\/b><\/p>\n

    \n
  1. stats<\/span><\/li>\n
  2. eval<\/span><\/li>\n
  3. lookup<\/span><\/li>\n
  4. dedup<\/span><\/li>\n<\/ol>\n

    Correct Answer: 2<\/b><\/p>\n

    Explanation<\/b><\/p>\n

    The eval command is used to create calculated fields and perform operations on existing field values. Analysts can use arithmetic expressions, conditional functions, string functions, and other supported functions to derive new information. For example, eval can calculate a percentage by dividing one numerical field by another and multiplying the result by 100. Stats is primarily used for aggregation, lookup enriches events with external information, and dedup removes duplicate results. Eval is therefore an important command for transforming existing event data into useful analytical values.<\/span><\/p>\n

    Question 122<\/b><\/h3>\n

    Which SPL command can identify the most common values for a field?<\/b><\/p>\n

      \n
    1. rare<\/span><\/li>\n
    2. top<\/span><\/li>\n
    3. dedup<\/span><\/li>\n
    4. values<\/span><\/li>\n<\/ol>\n

      Correct Answer: 2<\/b><\/p>\n

      Explanation<\/b><\/p>\n

      The top command identifies the most frequently occurring values of a specified field. It can provide counts and percentages that help analysts understand the distribution of values within search results. For example, top user can identify which users generated the most events. Rare focuses on less frequent values, dedup removes duplicate events, and values returns distinct values in a multivalue result. Top is especially useful during exploratory analysis because it quickly highlights dominant values without requiring a manually constructed statistical query.<\/span><\/p>\n

      Question 123<\/b><\/h3>\n

      Which SPL command is useful for identifying the least common values in a field?<\/b><\/p>\n

        \n
      1. rare<\/span><\/li>\n
      2. top<\/span><\/li>\n
      3. stats<\/span><\/li>\n
      4. chart<\/span><\/li>\n<\/ol>\n

        Correct Answer: 1<\/b><\/p>\n

        Explanation<\/b><\/p>\n

        The rare command identifies values that occur infrequently within a specified field. This can help analysts discover unusual activity or values that appear only a small number of times. For example, rare can be used to identify uncommon destination ports, error codes, or usernames. Top focuses on frequently occurring values, while stats performs general statistical calculations and chart creates statistical tables. Rare can therefore support investigations where identifying uncommon values is important, especially when unusual activity may require additional examination.<\/span><\/p>\n

        Question 124<\/b><\/h3>\n

        Which SPL command can calculate statistics while keeping the original events in the result set?<\/b><\/p>\n

          \n
        1. stats<\/span><\/li>\n
        2. eventstats<\/span><\/li>\n
        3. chart<\/span><\/li>\n
        4. timechart<\/span><\/li>\n<\/ol>\n

          Correct Answer: 2<\/b><\/p>\n

          Explanation<\/b><\/p>\n

          The eventstats command calculates aggregate statistics and adds those values to the existing events. This allows analysts to compare individual event values with aggregate information without losing the original event details. For example, eventstats can calculate the average value for a group and add that average to each corresponding event. Stats normally transforms the result set into a summary, while chart and timechart create specialized statistical structures. Eventstats is useful when an investigation requires both event-level information and broader statistical context.<\/span><\/p>\n

          Question 125<\/b><\/h3>\n

          Which SPL command can create a summary of events grouped by one or more fields?<\/b><\/p>\n

            \n
          1. stats<\/span><\/li>\n
          2. rex<\/span><\/li>\n
          3. fields<\/span><\/li>\n
          4. reverse<\/span><\/li>\n<\/ol>\n

            Correct Answer: 1<\/b><\/p>\n

            Explanation<\/b><\/p>\n

            The stats command can summarize events by one or more fields using the by clause. It supports functions such as count, sum, average, minimum, maximum, and distinct count. For example, stats count by sourcetype can show the number of events associated with each sourcetype. Rex extracts information, fields controls available fields, and reverse changes result order. Stats is one of the most widely used SPL commands because it converts large collections of events into concise summaries that are easier to analyze and compare.<\/span><\/p>\n

            Question 126<\/b><\/h3>\n

            Which SPL command can create a field by extracting matching text from an event using a regular expression?<\/b><\/p>\n

              \n
            1. regex<\/span><\/li>\n
            2. rex<\/span><\/li>\n
            3. replace<\/span><\/li>\n
            4. search<\/span><\/li>\n<\/ol>\n

              Correct Answer: 2<\/b><\/p>\n

              Explanation<\/b><\/p>\n

              The rex command uses regular expressions to extract information from event data. Named capture groups can be used to create new fields containing text that matches a defined pattern. This is especially useful when important information exists in raw events but has not been automatically extracted. Regex filters events based on a pattern rather than creating extracted fields. Replace modifies matching text, while search filters events using search criteria. Rex is therefore an important tool for converting unstructured event text into structured information that can be analyzed.<\/span><\/p>\n

              Question 127<\/b><\/h3>\n

              Which SPL command can filter events according to a regular expression pattern?<\/b><\/p>\n

                \n
              1. rex<\/span><\/li>\n
              2. regex<\/span><\/li>\n
              3. eval<\/span><\/li>\n
              4. lookup<\/span><\/li>\n<\/ol>\n

                Correct Answer: 2<\/b><\/p>\n

                Explanation<\/b><\/p>\n

                The regex command filters events by evaluating a regular expression against a specified field. It is useful when analysts need to find values that follow a particular pattern instead of matching one exact value. For example, a regular expression can be used to identify hostnames that follow a specific naming convention. Rex is mainly used for extracting or transforming fields, eval performs calculations and lookup enriches events. Regex therefore provides a convenient way to perform pattern-based filtering within a Splunk search.<\/span><\/p>\n

                Question 128<\/b><\/h3>\n

                Which SPL command can combine the results of two searches based on matching field values?<\/b><\/p>\n

                  \n
                1. append<\/span><\/li>\n
                2. join<\/span><\/li>\n
                3. lookup<\/span><\/li>\n
                4. transaction<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 2<\/b><\/p>\n

                  Explanation<\/b><\/p>\n

                  The join command combines search results based on matching field values. It is useful when information required for an analysis exists in separate result sets that share a common field. For example, records from one search can be matched with records from another using a user or host field. Append combines results without performing the same type of matching, lookup enriches events from a reference dataset, and transaction groups related events. Join should be used carefully because it can consume significant resources when processing large datasets.<\/span><\/p>\n

                  Question 129<\/b><\/h3>\n

                  Which SPL command adds the results of a secondary search to the primary search results without requiring a matching field?<\/b><\/p>\n

                    \n
                  1. join<\/span><\/li>\n
                  2. append<\/span><\/li>\n
                  3. lookup<\/span><\/li>\n
                  4. stats<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 2<\/b><\/p>\n

                    Explanation<\/b><\/p>\n

                    The append command adds the results from a secondary search to the results of the primary search. It does not require a common field to match the two result sets. This makes it useful when analysts need to combine separate result sets that represent similar or complementary information. Join performs field-based matching, lookup enriches existing events, and stats aggregates data. Append can be useful for combining results from different searches, although analysts should consider search efficiency when the secondary search produces a large number of results.<\/span><\/p>\n

                    Question 130<\/b><\/h3>\n

                    Which SPL command can retrieve records stored in a lookup dataset?<\/b><\/p>\n

                      \n
                    1. inputlookup<\/span><\/li>\n
                    2. outputlookup<\/span><\/li>\n
                    3. lookup<\/span><\/li>\n
                    4. join<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 1<\/b><\/p>\n

                      Explanation<\/b><\/p>\n

                      The inputlookup command reads records from a lookup dataset and returns them as search results. This allows analysts to inspect or process reference data directly. For example, an organization can use inputlookup to retrieve a list of known assets or approved IP addresses and then use that information in further searches. Outputlookup saves search results into a lookup, while lookup uses lookup information to enrich existing events. Join combines result sets based on fields. Inputlookup is therefore mainly used when the lookup dataset itself needs to be searched.<\/span><\/p>\n

                      Question 131<\/b><\/h3>\n

                      Which SPL command stores search results in a lookup dataset?<\/b><\/p>\n

                        \n
                      1. inputlookup<\/span><\/li>\n
                      2. outputlookup<\/span><\/li>\n
                      3. lookup<\/span><\/li>\n
                      4. append<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 2<\/b><\/p>\n

                        Explanation<\/b><\/p>\n

                        The outputlookup command saves search results into a lookup dataset. This allows information generated by a search to become reusable reference data for future searches. For example, an administrator could generate a list of monitored hosts and save it as a lookup. Inputlookup reads lookup records, lookup enriches existing events, and append combines result sets. Outputlookup is useful for workflows where search results need to be retained in a structured reference format and reused later for enrichment, filtering, or reporting.<\/span><\/p>\n

                        Question 132<\/b><\/h3>\n

                        Which SPL function can return the number of elements in a multivalue field?<\/b><\/p>\n

                          \n
                        1. mvindex<\/span><\/li>\n
                        2. mvcount<\/span><\/li>\n
                        3. mvjoin<\/span><\/li>\n
                        4. mvsort<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 2<\/b><\/p>\n

                          Explanation<\/b><\/p>\n

                          The mvcount function returns the number of values contained in a multivalue field. It can help analysts determine how many entries are associated with a particular event. For example, an event containing multiple destination addresses can be evaluated with mvcount to determine how many addresses are present. Mvindex retrieves values by position, mvjoin combines values into a string, and mvsort orders multivalue entries. Mvcount is therefore useful when the size of a multivalue field is relevant to an investigation or analytical calculation.<\/span><\/p>\n

                          Question 133<\/b><\/h3>\n

                          Which SPL function can retrieve an individual value from a multivalue field?<\/b><\/p>\n

                            \n
                          1. mvcount<\/span><\/li>\n
                          2. mvindex<\/span><\/li>\n
                          3. mvjoin<\/span><\/li>\n
                          4. mvappend<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 2<\/b><\/p>\n

                            Explanation<\/b><\/p>\n

                            The mvindex function retrieves one or more values from a multivalue field according to their position. This allows analysts to select a specific item from a list without processing every value. For example, it can be used to retrieve the first value or another position from a multivalue field. Mvcount determines the number of values, mvjoin combines them into a string, and mvappend adds values. Mvindex is therefore particularly useful when the position of a desired value within a multivalue field is known.<\/span><\/p>\n

                            Question 134<\/b><\/h3>\n

                            Which SPL function combines multivalue field elements into a single string?<\/b><\/p>\n

                              \n
                            1. mvappend<\/span><\/li>\n
                            2. mvjoin<\/span><\/li>\n
                            3. mvindex<\/span><\/li>\n
                            4. mvcount<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 2<\/b><\/p>\n

                              Explanation<\/b><\/p>\n

                              The mvjoin function combines the values of a multivalue field into one string using a specified delimiter. This can make list-based information easier to display or process as text. For example, several values can be joined using a comma separator to create one readable field. Mvappend adds values to a multivalue field, mvindex retrieves selected values, and mvcount counts the number of values. Mvjoin is therefore useful when an analyst needs to convert a list of values into a single formatted string.<\/span><\/p>\n

                              Question 135<\/b><\/h3>\n

                              Which SPL command can limit results to the first specified number of events?<\/b><\/p>\n

                                \n
                              1. tail<\/span><\/li>\n
                              2. head<\/span><\/li>\n
                              3. reverse<\/span><\/li>\n
                              4. sort<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 2<\/b><\/p>\n

                                Explanation<\/b><\/p>\n

                                The head command limits search results to a specified number of events from the beginning of the current result set. It is useful when analysts want to inspect a small sample rather than review every returned event. For example, head 10 can display the first ten results. Tail operates on the end of the result set, reverse changes the order, and sort organizes results according to field values. Head is commonly used during search development and troubleshooting when a limited number of sample events is sufficient.<\/span><\/p>\n

                                Question 136<\/b><\/h3>\n

                                Which SPL command can return events from the end of the current result set?<\/b><\/p>\n

                                  \n
                                1. head<\/span><\/li>\n
                                2. tail<\/span><\/li>\n
                                3. reverse<\/span><\/li>\n
                                4. sort<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 2<\/b><\/p>\n

                                  Explanation<\/b><\/p>\n

                                  The tail command returns a specified number of events from the end of the current search result set. It is useful when analysts need to inspect the final portion of an ordered result set. Head performs the corresponding operation from the beginning. Reverse changes the order of all results, while sort organizes events according to specified field values. Tail can be helpful when reviewing the latest portion of a particular output or when testing searches where only the final results are relevant.<\/span><\/p>\n

                                  Question 137<\/b><\/h3>\n

                                  Which SPL command reverses the current order of search results?<\/b><\/p>\n

                                    \n
                                  1. sort<\/span><\/li>\n
                                  2. reverse<\/span><\/li>\n
                                  3. tail<\/span><\/li>\n
                                  4. dedup<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 2<\/b><\/p>\n

                                    Explanation<\/b><\/p>\n

                                    The reverse command changes the order of the current search results so that the sequence is reversed. It can be useful when analysts want to view events in the opposite order from the one currently displayed. Sort is different because it orders results according to specified field values, while tail returns a limited number of events from the end and dedup removes duplicates. Reverse does not calculate statistics or modify event content. It simply changes the order in which the current result set is presented.<\/span><\/p>\n

                                    Question 138<\/b><\/h3>\n

                                    Which command can organize numerical or time values into discrete buckets?<\/b><\/p>\n

                                      \n
                                    1. bucket<\/span><\/li>\n
                                    2. stats<\/span><\/li>\n
                                    3. fields<\/span><\/li>\n
                                    4. rename<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 1<\/b><\/p>\n

                                      Explanation<\/b><\/p>\n

                                      The bucket command groups numerical or time-based values into discrete ranges. It is particularly useful when analysts need to organize events into intervals before performing statistical analysis. For example, timestamps can be grouped into hourly intervals to examine activity over time. The command can also be used with numerical fields to create meaningful ranges. Stats performs aggregation, fields controls field availability, and rename changes field names. Bucket therefore provides a useful way to transform continuous values into groups that can be analyzed efficiently.<\/span><\/p>\n

                                      Question 139<\/b><\/h3>\n

                                      Which field normally contains the time associated with a Splunk event?<\/b><\/p>\n

                                        \n
                                      1. _raw<\/span><\/li>\n
                                      2. _time<\/span><\/li>\n
                                      3. _source<\/span><\/li>\n
                                      4. _index<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 2<\/b><\/p>\n

                                        Explanation<\/b><\/p>\n

                                        The _time field contains the timestamp associated with a Splunk event. Splunk uses this field extensively when filtering events by time range and creating time-based analyses. Commands such as timechart rely on event timestamps to place results into chronological intervals. The _raw field contains the original event text, _source identifies the source, and _index identifies the index containing the event. Understanding _time is important for investigations because accurate event timing helps analysts establish sequences, identify trends, and correlate activity across different data sources.<\/span><\/p>\n

                                        Question 140<\/b><\/h3>\n

                                        Which internal field contains the original raw text of a Splunk event?<\/b><\/p>\n

                                          \n
                                        1. _source<\/span><\/li>\n
                                        2. _time<\/span><\/li>\n
                                        3. _raw<\/span><\/li>\n
                                        4. _index<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 3<\/b><\/p>\n

                                          Explanation<\/b><\/p>\n

                                          The _raw field contains the original raw event text indexed by Splunk. It allows analysts to inspect the underlying event content and verify whether expected information is present. This can be particularly useful when troubleshooting field extractions or investigating why a search is not returning expected values. The _time field contains the event timestamp, _source identifies the originating source, and _index identifies the storage index. Reviewing _raw provides a direct view of the event content that Splunk received and indexed for later searching.<\/span><\/p>\n

                                           <\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Splunk SPLK-1002 Exam Dumps and Practice Test Dumps.   Question 121 Which Splunk command can be used to calculate a percentage or other derived value from existing fields? stats eval lookup dedup Correct Answer: 2 Explanation The eval command is used to create calculated fields and perform operations on existing field values. Analysts […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/19109"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=19109"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/19109\/revisions"}],"predecessor-version":[{"id":19110,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/19109\/revisions\/19110"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=19109"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=19109"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=19109"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}