{"id":21667,"date":"2026-09-25T06:48:27","date_gmt":"2026-09-25T06:48:27","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=21667"},"modified":"2026-09-25T06:48:27","modified_gmt":"2026-09-25T06:48:27","slug":"splunk-splk-5002-practice-test-questions-and-exam-dumps-part-4-q61-80","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-5002-practice-test-questions-and-exam-dumps-part-4-q61-80\/","title":{"rendered":"Splunk SPLK-5002 Practice Test Questions and Exam Dumps Part 4 Q61-80"},"content":{"rendered":"

View Full <\/b>Splunk SPLK-5002 Exam Dumps<\/b><\/a> and Practice Test Dumps<\/b><\/h2>\n

 <\/p>\n

Question 61. An analyst wants to count events by <\/b>host<\/b> and display the results from the highest count to the lowest count. Which SPL search is most appropriate?<\/b><\/p>\n

    \n
  1. <\/b> stats count by host | sort -count<\/span><\/li>\n
  2. <\/b> stats host count | order descending<\/span><\/li>\n
  3. <\/b> count by host | sort count<\/span><\/li>\n
  4. <\/b> table host count | reverse<\/span><\/li>\n<\/ol>\n

    Correct Answer: 1. <\/b>stats count by host | sort -count<\/b><\/p>\n

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

    The <\/span>stats count by host<\/span> command creates a count for each unique host. The resulting <\/span>count<\/span> field can then be sorted in descending order with <\/span>sort -count<\/span>. The minus sign before the field name specifies descending order. This search pattern is useful for identifying the hosts that generate the greatest number of events. The other options do not use valid SPL syntax for combining grouped counting with descending sorting. Therefore, <\/span>stats count by host | sort -count<\/span> correctly produces host counts ordered from the highest to the lowest.<\/span><\/p>\n

    Question 62. Which SPL command can be used to create a field based on a conditional expression such as assigning “High” when a value exceeds 100 and “Low” otherwise?<\/b><\/p>\n

      \n
    1. <\/b> table<\/span><\/li>\n
    2. <\/b> eval<\/span><\/li>\n
    3. <\/b> sort<\/span><\/li>\n
    4. <\/b> dedup<\/span><\/li>\n<\/ol>\n

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

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

      The <\/span>eval<\/span> command can create calculated fields using conditional functions such as <\/span>if()<\/span>. For example, <\/span>eval level=if(value>100,”High”,”Low”)<\/span> creates a new field called <\/span>level<\/span> based on the value of another field. This capability is useful for categorizing events, normalizing data, and creating fields needed for later analysis. <\/span>table<\/span> controls displayed fields, <\/span>sort<\/span> changes result ordering, and <\/span>dedup<\/span> removes duplicate results. Therefore, <\/span>eval<\/span> is the appropriate SPL command when a new field needs to be generated from a conditional expression.<\/span><\/p>\n

      Question 63. An analyst needs to identify the number of unique users that accessed an application. Which SPL search is appropriate?<\/b><\/p>\n

        \n
      1. <\/b> stats count(user)<\/span><\/li>\n
      2. <\/b> stats values(user)<\/span><\/li>\n
      3. <\/b> stats dc(user)<\/span><\/li>\n
      4. <\/b> stats unique(user)<\/span><\/li>\n<\/ol>\n

        Correct Answer: 3. <\/b>stats dc(user)<\/b><\/p>\n

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

        The <\/span>dc()<\/span> function calculates the distinct count of values in a field. Therefore, <\/span>stats dc(user)<\/span> returns the number of unique users represented in the search results. This differs from <\/span>count(user)<\/span>, which counts occurrences and can count the same user multiple times. <\/span>values(user)<\/span> returns distinct user values rather than the numeric count, while <\/span>unique(user)<\/span> is not the standard SPL statistical function for this purpose. Therefore, <\/span>stats dc(user)<\/span> is the appropriate search when an analyst needs to determine how many distinct users accessed an application.<\/span><\/p>\n

        Question 64. Which SPL command can calculate statistics across all events and append the resulting values to each individual event?<\/b><\/p>\n

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

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

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

          The <\/span>eventstats<\/span> command calculates aggregate statistics and adds those results to the original events. For example, <\/span>eventstats avg(bytes) as avg_bytes by host<\/span> can calculate the average bytes for each host and make that value available on each corresponding event. Unlike <\/span>stats<\/span>, <\/span>eventstats<\/span> does not replace the original event stream with only summary rows. <\/span>timechart<\/span> creates time-series summaries, while <\/span>table<\/span> formats selected fields. Therefore, <\/span>eventstats<\/span> is the correct command when aggregate values need to remain attached to individual events.<\/span><\/p>\n

          Question 65. An analyst wants to calculate a running count of events as they appear in the search results. Which SPL command is appropriate?<\/b><\/p>\n

            \n
          1. <\/b> stats<\/span><\/li>\n
          2. <\/b> streamstats<\/span><\/li>\n
          3. <\/b> eventstats<\/span><\/li>\n
          4. <\/b> count<\/span><\/li>\n<\/ol>\n

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

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

            The <\/span>streamstats<\/span> command calculates statistics incrementally as events pass through the search pipeline. A search such as <\/span>streamstats count as running_count<\/span> can create a cumulative count that increases as each event is processed. This is useful for running totals, sequence analysis, and calculations that depend on the order of events. <\/span>stats<\/span> produces aggregate results, <\/span>eventstats<\/span> adds aggregate values to events, and <\/span>count<\/span> by itself is not an SPL command for creating a running count. Therefore, <\/span>streamstats<\/span> is the appropriate command for this requirement.<\/span><\/p>\n

            Question 66. Which SPL command is commonly used to generate a table showing the count of events over time and split the results by a field such as <\/b>status<\/b>?<\/b><\/p>\n

              \n
            1. <\/b> transaction<\/span><\/li>\n
            2. <\/b> timechart<\/span><\/li>\n
            3. <\/b> rename<\/span><\/li>\n
            4. <\/b> dedup<\/span><\/li>\n<\/ol>\n

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

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

              The <\/span>timechart<\/span> command is designed for time-series statistical analysis. It can create time buckets and split results by a field, allowing analysts to compare categories over time. For example, <\/span>timechart count by status<\/span> can show the number of events for each status across time intervals. <\/span>transaction<\/span> groups related events, <\/span>rename<\/span> changes field names, and <\/span>dedup<\/span> removes duplicate results. Therefore, <\/span>timechart<\/span> is the appropriate command when an analyst wants to visualize event counts over time while separating the results by a field such as status.<\/span><\/p>\n

              Question 67. An administrator wants to identify the first and last events associated with each user. Which SPL approach can provide these values during statistical aggregation?<\/b><\/p>\n

                \n
              1. <\/b> stats earliest(_time) latest(_time) by user<\/span><\/li>\n
              2. <\/b> table first(_time) last(_time) by user<\/span><\/li>\n
              3. <\/b> sort earliest latest by user<\/span><\/li>\n
              4. <\/b> timechart first last by user<\/span><\/li>\n<\/ol>\n

                Correct Answer: 1. <\/b>stats earliest(_time) latest(_time) by user<\/b><\/p>\n

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

                The <\/span>stats<\/span> command can use the <\/span>earliest()<\/span> and <\/span>latest()<\/span> functions to determine the earliest and latest values of a field for each group. Using <\/span>_time<\/span> provides the first and last event timestamps for each user. This is useful for analyzing user activity windows, session behavior, or the period during which an account was active. The other options do not represent valid SPL syntax for this grouped calculation. Therefore, <\/span>stats earliest(_time) latest(_time) by user<\/span> is the appropriate search pattern for identifying the first and last event times for each user.<\/span><\/p>\n

                Question 68. Which SPL command can extract a field from raw text using a named capture group in a regular expression?<\/b><\/p>\n

                  \n
                1. <\/b> regex<\/span><\/li>\n
                2. <\/b> rex<\/span><\/li>\n
                3. <\/b> extract<\/span><\/li>\n
                4. <\/b> parse<\/span><\/li>\n<\/ol>\n

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

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

                  The <\/span>rex<\/span> command uses regular expressions to extract information from event text. A named capture group can create a field from the portion of text matched by the expression. This is especially useful when structured information is present in <\/span>_raw<\/span> but is not already available as a field. The <\/span>regex<\/span> command is primarily used to filter events based on a pattern rather than create extracted fields. The other commands listed do not represent the standard approach for named regular-expression extraction. Therefore, <\/span>rex<\/span> is the appropriate command for this requirement.<\/span><\/p>\n

                  Question 69. An analyst wants to keep only the first event for each unique <\/b>session_id<\/b>. Which SPL command should be used?<\/b><\/p>\n

                    \n
                  1. <\/b> dedup session_id<\/span><\/li>\n
                  2. <\/b> unique session_id<\/span><\/li>\n
                  3. <\/b> first session_id<\/span><\/li>\n
                  4. <\/b> distinct session_id<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 1. <\/b>dedup session_id<\/b><\/p>\n

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

                    The <\/span>dedup<\/span> command removes duplicate results based on one or more fields. When used as <\/span>dedup session_id<\/span>, it keeps a single result for each unique session ID according to the ordering of the results at that point in the search pipeline. This makes it useful when an analyst needs one representative event per session. The other commands shown are not standard SPL commands for deduplicating results by a field. Therefore, <\/span>dedup session_id<\/span> is the appropriate command when the objective is to retain one event for each unique session ID.<\/span><\/p>\n

                    Question 70. Which SPL command can be used to filter results after a statistical aggregation has been performed?<\/b><\/p>\n

                      \n
                    1. <\/b> where<\/span><\/li>\n
                    2. <\/b> fields<\/span><\/li>\n
                    3. <\/b> rename<\/span><\/li>\n
                    4. <\/b> makemv<\/span><\/li>\n<\/ol>\n

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

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

                      The <\/span>where<\/span> command is commonly used after commands such as <\/span>stats<\/span> to filter the resulting rows according to calculated fields. For example, <\/span>stats count by host | where count > 100<\/span> returns only hosts whose event count exceeds 100. This is different from an initial search filter, which operates before later processing. <\/span>fields<\/span> controls field availability, <\/span>rename<\/span> changes field names, and <\/span>makemv<\/span> creates multivalue fields. Therefore, <\/span>where<\/span> is the appropriate command for filtering aggregated results based on a calculated value.<\/span><\/p>\n

                      Question 71. An analyst needs to search for events where a numeric field is between 100 and 500. Which SPL approach is appropriate?<\/b><\/p>\n

                        \n
                      1. <\/b> where value > 100 AND value < 500<\/span><\/li>\n
                      2. <\/b> search value BETWEEN 100 500<\/span><\/li>\n
                      3. <\/b> where value=100-500<\/span><\/li>\n
                      4. <\/b> filter value 100..500<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 1. <\/b>where value > 100 AND value < 500<\/b><\/p>\n

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

                        The <\/span>where<\/span> command supports comparison operators and Boolean expressions, allowing an analyst to define a numeric range explicitly. <\/span>where value > 100 AND value < 500<\/span> retains events whose <\/span>value<\/span> falls within the specified boundaries. The exact use of <\/span>>=<\/span> or <\/span><=<\/span> can be selected when the boundary values should also be included. The other examples do not represent the standard SPL syntax for this type of numeric comparison. Therefore, <\/span>where<\/span> with two comparison expressions joined by <\/span>AND<\/span> is an appropriate approach.<\/span><\/p>\n

                        Question 72. Which SPL function can calculate the average of a numeric field during statistical processing?<\/b><\/p>\n

                          \n
                        1. <\/b> mean()<\/span><\/li>\n
                        2. <\/b> average()<\/span><\/li>\n
                        3. <\/b> avg()<\/span><\/li>\n
                        4. <\/b> middle()<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 3. <\/b>avg()<\/b><\/p>\n

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

                          The <\/span>avg()<\/span> statistical function calculates the arithmetic average of numeric values. It is commonly used with the <\/span>stats<\/span>, <\/span>eventstats<\/span>, and related commands. For example, <\/span>stats avg(response_time) by host<\/span> calculates the average response time separately for each host. <\/span>mean()<\/span> and <\/span>average()<\/span> are not the standard SPL function names used for this calculation, while <\/span>middle()<\/span> does not represent the average function. Therefore, <\/span>avg()<\/span> is the appropriate statistical function when an analyst needs to calculate the average of a numeric field.<\/span><\/p>\n

                          Question 73. An analyst wants to identify events generated by either <\/b>web01<\/b> or <\/b>web02<\/b>. Which SPL search is appropriate?<\/b><\/p>\n

                            \n
                          1. <\/b> host=web01 AND host=web02<\/span><\/li>\n
                          2. <\/b> host IN web01,web02<\/span><\/li>\n
                          3. <\/b> (host=web01 OR host=web02)<\/span><\/li>\n
                          4. <\/b> host=web01 + web02<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 3. <\/b>(host=web01 OR host=web02)<\/b><\/p>\n

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

                            The <\/span>OR<\/span> operator allows a search to match either of multiple conditions. <\/span>(host=web01 OR host=web02)<\/span> therefore returns events generated by either specified host. Parentheses make the grouping explicit and are especially useful when the search includes additional conditions. Using <\/span>AND<\/span> would require the same event to have both host values, which is not the intended condition. The other syntax examples do not represent the standard SPL approach for this basic alternative-field-value search. Therefore, the third search is appropriate.<\/span><\/p>\n

                            Question 74. Which SPL command can limit the number of search results to the first 20 events?<\/b><\/p>\n

                              \n
                            1. <\/b> top 20<\/span><\/li>\n
                            2. <\/b> head 20<\/span><\/li>\n
                            3. <\/b> limit 20<\/span><\/li>\n
                            4. <\/b> first 20<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 2. <\/b>head 20<\/b><\/p>\n

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

                              The <\/span>head<\/span> command limits the search results to the first specified number of events. Therefore, <\/span>head 20<\/span> returns the first 20 events available at that point in the search pipeline. It is useful when an analyst wants to inspect a small sample or limit processing for subsequent commands. <\/span>top 20<\/span> performs frequency analysis rather than simply returning the first 20 events, while <\/span>limit<\/span> and <\/span>first<\/span> are not the standard SPL commands for this purpose. Therefore, <\/span>head 20<\/span> is the correct command.<\/span><\/p>\n

                              Question 75. An analyst wants to combine two fields into a single field containing their values separated by a hyphen. Which SPL command can perform this transformation?<\/b><\/p>\n

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

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

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

                                The <\/span>eval<\/span> command can create a new field by combining existing fields with string operations. For example, an analyst can construct a field containing <\/span>host<\/span> and <\/span>source<\/span> separated by a hyphen using an appropriate <\/span>eval<\/span> expression. This type of transformation is performed on the event data during search processing. <\/span>stats<\/span> is used for aggregation, <\/span>dedup<\/span> removes duplicate results, and <\/span>sort<\/span> changes result order. Therefore, <\/span>eval<\/span> is the appropriate SPL command for combining existing field values into a new formatted field.<\/span><\/p>\n

                                Question 76. Which SPL command can search for a pattern in a field and retain only events that match the regular expression?<\/b><\/p>\n

                                  \n
                                1. <\/b> rex<\/span><\/li>\n
                                2. <\/b> regex<\/span><\/li>\n
                                3. <\/b> match<\/span><\/li>\n
                                4. <\/b> pattern<\/span><\/li>\n<\/ol>\n

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

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

                                  The <\/span>regex<\/span> command filters search results using a regular expression. It can be applied to a specified field so that only events matching the pattern remain in the result set. This differs from <\/span>rex<\/span>, which is generally used to extract or transform field values using regular expressions. <\/span>match<\/span> can be used as an evaluation function in appropriate expressions, but it is not the dedicated filtering command represented here. Therefore, <\/span>regex<\/span> is the appropriate SPL command when the requirement is to retain only events matching a regular-expression pattern.<\/span><\/p>\n

                                  Question 77. An administrator wants to calculate the number of events for each combination of <\/b>user<\/b> and <\/b>action<\/b>. Which SPL search is appropriate?<\/b><\/p>\n

                                    \n
                                  1. <\/b> stats count by user action<\/span><\/li>\n
                                  2. <\/b> stats count user, action<\/span><\/li>\n
                                  3. <\/b> table count by user action<\/span><\/li>\n
                                  4. <\/b> count user AND action<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1. <\/b>stats count by user action<\/b><\/p>\n

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

                                    The <\/span>stats<\/span> command can group results by multiple fields. <\/span>stats count by user action<\/span> produces a count for each unique combination of the <\/span>user<\/span> and <\/span>action<\/span> fields. This allows analysts to determine how frequently each user performed each action. The other options do not use the standard SPL syntax for grouped aggregation. Therefore, <\/span>stats count by user action<\/span> is the appropriate search for calculating event counts for every user-and-action combination.<\/span><\/p>\n

                                    Question 78. Which SPL command can create a summary field containing the total count of events for each group while preserving the original event records?<\/b><\/p>\n

                                      \n
                                    1. <\/b> stats<\/span><\/li>\n
                                    2. <\/b> eventstats<\/span><\/li>\n
                                    3. <\/b> table<\/span><\/li>\n
                                    4. <\/b> top<\/span><\/li>\n<\/ol>\n

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

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

                                      The <\/span>eventstats<\/span> command calculates aggregate values and adds them back to the original events. For example, <\/span>eventstats count by user<\/span> can provide each event with the total number of events associated with its user. This allows the analyst to compare an individual event with a group-level statistic while retaining the original event information. <\/span>stats<\/span> would instead produce a summarized result set, while <\/span>table<\/span> formats fields and <\/span>top<\/span> provides frequency-oriented results. Therefore, <\/span>eventstats<\/span> is the appropriate command when group-level counts must remain attached to the original events.<\/span><\/p>\n

                                      Question 79. An analyst wants to find the 95th percentile of <\/b>response_time<\/b> for each application. Which SPL search is appropriate?<\/b><\/p>\n

                                        \n
                                      1. <\/b> stats percentile(response_time,95) by application<\/span><\/li>\n
                                      2. <\/b> stats p95(response_time) by application<\/span><\/li>\n
                                      3. <\/b> stats 95th(response_time) by application<\/span><\/li>\n
                                      4. <\/b> stats percent(response_time,95) by application<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 2. <\/b>stats p95(response_time) by application<\/b><\/p>\n

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

                                        The <\/span>p95()<\/span> statistical function calculates the 95th percentile of a numeric field. Using <\/span>stats p95(response_time) by application<\/span> produces a separate 95th-percentile value for each application. Percentile analysis is useful for understanding the upper range of response times and identifying performance behavior that an average may not reveal. The other examples do not represent the standard SPL function syntax for this calculation. Therefore, <\/span>stats p95(response_time) by application<\/span> is the appropriate search for determining the 95th percentile of response time for each application.<\/span><\/p>\n

                                        Question 80. An analyst wants to remove a field named <\/b>password<\/b> from the search results before continuing with additional processing. Which SPL command is appropriate?<\/b><\/p>\n

                                          \n
                                        1. <\/b> fields – password<\/span><\/li>\n
                                        2. <\/b> remove password<\/span><\/li>\n
                                        3. <\/b> delete password<\/span><\/li>\n
                                        4. <\/b> drop password<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 1. <\/b>fields – password<\/b><\/p>\n

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

                                          The <\/span>fields<\/span> command can exclude a specified field from the search results by placing a minus sign before the field name. Therefore, <\/span>fields – password<\/span> removes the <\/span>password<\/span> field from the results and from subsequent processing in the search pipeline. This can be useful for reducing unnecessary data or preventing sensitive fields from being carried through later commands. The commands <\/span>remove<\/span>, <\/span>delete<\/span>, and <\/span>drop<\/span> do not represent the standard SPL syntax for excluding a field in this context. Therefore, <\/span>fields – password<\/span> is the appropriate command.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-5002 Exam Dumps and Practice Test Dumps   Question 61. An analyst wants to count events by host and display the results from the highest count to the lowest count. Which SPL search is most appropriate? stats count by host | sort -count stats host count | order descending count by host […]<\/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\/21667"}],"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=21667"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21667\/revisions"}],"predecessor-version":[{"id":21668,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21667\/revisions\/21668"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=21667"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=21667"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=21667"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}