{"id":21669,"date":"2026-09-25T06:48:57","date_gmt":"2026-09-25T06:48:57","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=21669"},"modified":"2026-09-25T06:48:57","modified_gmt":"2026-09-25T06:48:57","slug":"splunk-splk-5002-practice-test-questions-and-exam-dumps-part-5-q81-100","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-5002-practice-test-questions-and-exam-dumps-part-5-q81-100\/","title":{"rendered":"Splunk SPLK-5002 Practice Test Questions and Exam Dumps Part 5 Q81-100"},"content":{"rendered":"

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

 <\/p>\n

Question 81: Which Splunk command is used to calculate the total number of events for each value of the <\/b>status<\/b> field?<\/b><\/p>\n

    \n
  1. <\/b> stats sum(status) by status<\/span><\/li>\n
  2. <\/b> stats count by status<\/span><\/li>\n
  3. <\/b> eventstats status by count<\/span><\/li>\n
  4. <\/b> chart total(status)<\/span><\/li>\n<\/ol>\n

    Correct Answer: 2. <\/b>stats count by status<\/b><\/p>\n

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

    The <\/span>stats count by status<\/span> command counts events and groups the results according to each distinct value of the <\/span>status<\/span> field. This is useful for determining how frequently different status values occur, such as HTTP response codes or authentication states. <\/span>stats<\/span> performs reporting calculations across search results, while the <\/span>by<\/span> clause defines the grouping field. The other options either use invalid syntax or attempt to aggregate the field values themselves rather than count events. This command is one of the most common ways to create summarized event counts in Splunk.<\/span><\/p>\n

    Question 82: Which SPL command removes duplicate events based on the <\/b>user<\/b> field while retaining the first matching event?<\/b><\/p>\n

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

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

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

      The <\/span>dedup<\/span> command removes duplicate search results based on specified field values. With <\/span>dedup user<\/span>, Splunk keeps the first result encountered for each unique value of the <\/span>user<\/span> field and removes subsequent results containing the same value. This is useful when you need one representative event for each user rather than every matching event. The other commands shown are not valid SPL commands for this purpose. The order of the search results matters because <\/span>dedup<\/span> keeps the first occurrence it encounters, so sorting the events before using <\/span>dedup<\/span> can affect which event is retained.<\/span><\/p>\n

      Question 83: Which SPL command can be used to extract a portion of a field using a regular expression with named capture groups?<\/b><\/p>\n

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

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

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

        The <\/span>rex<\/span> command uses regular expressions to extract or modify field values. Named capture groups can create new fields from portions of an existing field. For example, <\/span>rex field=_raw “user=(?<username>\\w+)”<\/span> can extract a username into the <\/span>username<\/span> field. The <\/span>regex<\/span> command is primarily used to filter events based on regular expressions rather than create extracted fields. <\/span>extract<\/span> has different extraction-related uses, while <\/span>capture<\/span> is not the appropriate SPL command. <\/span>rex<\/span> is therefore the standard choice when a search needs to extract structured information from unstructured event data using regular expressions.<\/span><\/p>\n

        Question 84: Which search retrieves events from the <\/b>web<\/b> index where the <\/b>status<\/b> field is either 200 or 404?<\/b><\/p>\n

          \n
        1. <\/b> index=web status=(200 AND 404)<\/span><\/li>\n
        2. <\/b> index=web status IN (200,404)<\/span><\/li>\n
        3. <\/b> index=web status=200 status=404<\/span><\/li>\n
        4. <\/b> index=web status=200 OR status=404<\/span><\/li>\n<\/ol>\n

          Correct Answer: 4. <\/b>index=web status=200 OR status=404<\/b><\/p>\n

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

          The search <\/span>index=web status=200 OR status=404<\/span> returns events where the <\/span>status<\/span> field is 200 or 404. In SPL, <\/span>OR<\/span> allows alternative search conditions. Parentheses can also be used to make Boolean logic clearer when combining multiple conditions. The other choices either require a condition to simultaneously contain two different values or use syntax that is not the appropriate general form for this search. This type of Boolean filtering is useful when investigating multiple event categories, such as successful and not-found web responses, within a single Splunk search.<\/span><\/p>\n

          Question 85: Which command is most appropriate for displaying the first 10 search results?<\/b><\/p>\n

            \n
          1. <\/b> head 10<\/span><\/li>\n
          2. <\/b> first 10<\/span><\/li>\n
          3. <\/b> limit 10<\/span><\/li>\n
          4. <\/b> top 10<\/span><\/li>\n<\/ol>\n

            Correct Answer: 1. <\/b>head 10<\/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 10<\/span> returns the first ten results in the current result order. It is particularly useful for quickly inspecting a small sample of events or reducing the amount of data passed to later commands. <\/span>top<\/span> serves a different purpose: it identifies the most frequent values of a field. The commands <\/span>first<\/span> and <\/span>limit<\/span> shown here are not the standard SPL commands for simply returning the first ten search results. The ordering of events should be considered when interpreting which results are returned.<\/span><\/p>\n

            Question 86: Which SPL command can create a new field based on a conditional expression?<\/b><\/p>\n

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

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

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

              The <\/span>eval<\/span> command creates or modifies fields using expressions and functions. Conditional logic can be implemented with the <\/span>if()<\/span> function. For example, <\/span>eval category=if(status>=500,”Server Error”,”Other”)<\/span> creates a new field called <\/span>category<\/span> based on the value of <\/span>status<\/span>. The <\/span>where<\/span> command filters events rather than creating calculated fields, while <\/span>fields<\/span> controls which fields remain in the results. <\/span>rename<\/span> changes field names. <\/span>eval<\/span> is therefore the appropriate command when a search needs to derive new information from existing fields, perform calculations, or apply conditional transformations.<\/span><\/p>\n

              Question 87: Which SPL command calculates the average value of <\/b>response_time<\/b> for each <\/b>host<\/b>?<\/b><\/p>\n

                \n
              1. <\/b> stats average(response_time) by host<\/span><\/li>\n
              2. <\/b> stats mean(response_time) for host<\/span><\/li>\n
              3. <\/b> stats avg(response_time) by host<\/span><\/li>\n
              4. <\/b> average response_time by host<\/span><\/li>\n<\/ol>\n

                Correct Answer: 3. <\/b>stats avg(response_time) by host<\/b><\/p>\n

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

                The <\/span>stats avg(response_time) by host<\/span> command calculates the average <\/span>response_time<\/span> separately for each host. The <\/span>avg()<\/span> statistical function calculates the arithmetic mean, while the <\/span>by host<\/span> clause creates one result group for each distinct host value. This is useful for comparing application or server performance across multiple hosts. The other choices either use incorrect function names or invalid SPL syntax. <\/span>stats<\/span> supports many statistical functions, including <\/span>count<\/span>, <\/span>sum<\/span>, <\/span>avg<\/span>, <\/span>min<\/span>, <\/span>max<\/span>, and distinct-count functions such as <\/span>dc()<\/span>.<\/span><\/p>\n

                Question 88: Which command can be used to sort results by the <\/b>count<\/b> field from highest to lowest?<\/b><\/p>\n

                  \n
                1. <\/b> sort count<\/span><\/li>\n
                2. <\/b> sort +count<\/span><\/li>\n
                3. <\/b> sort -count<\/span><\/li>\n
                4. <\/b> orderby count desc<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 3. <\/b>sort -count<\/b><\/p>\n

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

                  In Splunk, the <\/span>sort<\/span> command controls the ordering of search results. A minus sign before a field specifies descending order, so <\/span>sort -count<\/span> places the highest <\/span>count<\/span> values first. This is commonly used after a <\/span>stats<\/span> command, such as <\/span>stats count by host | sort -count<\/span>, to identify the hosts producing the largest number of events. By contrast, <\/span>sort count<\/span> sorts in ascending order. <\/span>orderby<\/span> is not the standard SPL command for sorting results. Understanding sort direction is important when creating ranked summaries and identifying the highest-volume results.<\/span><\/p>\n

                  Question 89: Which SPL command is designed to enrich events by matching fields against an external lookup table?<\/b><\/p>\n

                    \n
                  1. <\/b> lookup<\/span><\/li>\n
                  2. <\/b> joinlookup<\/span><\/li>\n
                  3. <\/b> enrich<\/span><\/li>\n
                  4. <\/b> maplookup<\/span><\/li>\n<\/ol>\n

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

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

                    The <\/span>lookup<\/span> command enriches search results by matching one or more event fields against a lookup table. For example, a lookup can map an IP address to a location, department, or asset owner. A typical search might use <\/span>lookup assets.csv ip OUTPUT hostname department<\/span>. The lookup table contains reference information that can be added to matching events. The other commands shown are not the standard SPL command for this operation. Lookup enrichment is especially useful when event data does not contain descriptive information that is maintained separately in an organization’s reference data.<\/span><\/p>\n

                    Question 90: Which SPL command is most appropriate for creating a time-based visualization of event counts?<\/b><\/p>\n

                      \n
                    1. <\/b> timechart<\/span><\/li>\n
                    2. <\/b> timeline<\/span><\/li>\n
                    3. <\/b> timeseries<\/span><\/li>\n
                    4. <\/b> timeplot<\/span><\/li>\n<\/ol>\n

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

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

                      The <\/span>timechart<\/span> command creates a time-series representation of search results. For example, <\/span>timechart count<\/span> can display the number of events over time, while <\/span>timechart count by status<\/span> can produce separate series for different status values. Splunk uses the <\/span>_time<\/span> field as the primary time dimension for this command. This makes <\/span>timechart<\/span> useful for identifying trends, spikes, recurring patterns, and changes in activity. The other choices are not standard SPL commands for creating time-based statistical charts. Timechart is commonly used when analyzing operational, security, and application events across a selected time range.<\/span><\/p>\n

                      Question 91: Which SPL command can calculate the earliest and latest event times for each user?<\/b><\/p>\n

                        \n
                      1. <\/b> stats min(_time), max(_time) by user<\/span><\/li>\n
                      2. <\/b> stats earliest(_time), latest(_time) by user<\/span><\/li>\n
                      3. <\/b> time user earliest latest<\/span><\/li>\n
                      4. <\/b> eventtime earliest latest by user<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 2. <\/b>stats earliest(_time), latest(_time) by user<\/b><\/p>\n

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

                        The <\/span>stats earliest(_time), latest(_time) by user<\/span> search calculates the earliest and latest event timestamps for each distinct user. The <\/span>earliest()<\/span> and <\/span>latest()<\/span> statistical functions operate on the <\/span>_time<\/span> field, while <\/span>by user<\/span> groups the results by user. This can help determine the activity window for individual users. Although minimum and maximum calculations can sometimes provide related information, <\/span>earliest()<\/span> and <\/span>latest()<\/span> are specifically designed for selecting the earliest and latest values according to event time. This distinction is useful when analyzing chronological activity in Splunk.<\/span><\/p>\n

                        Question 92: Which SPL command can add an aggregate value to every event in the search results?<\/b><\/p>\n

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

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

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

                          The <\/span>eventstats<\/span> command calculates statistics across events and adds the resulting aggregate values back to each applicable event. For example, <\/span>eventstats avg(response_time) as avg_response by host<\/span> can add the average response time for each host to the individual events. This allows each event to be compared with its group’s aggregate value while retaining the original events. In contrast, <\/span>stats<\/span> transforms the results into summary rows, and <\/span>streamstats<\/span> calculates running statistics based on event order. <\/span>eventstats<\/span> is particularly useful when you need both the original event-level information and group-level statistical context.<\/span><\/p>\n

                          Question 93: Which SPL command calculates a running count as events are processed?<\/b><\/p>\n

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

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

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

                            The <\/span>streamstats<\/span> command calculates cumulative or running statistics as Splunk processes events in their current order. For example, <\/span>streamstats count as running_count<\/span> creates a field whose value increases as each event is processed. This differs from <\/span>stats<\/span>, which produces an aggregate summary rather than maintaining the original event sequence. <\/span>eventstats<\/span> also calculates aggregates but adds those values to events instead of calculating them progressively. Running statistics are useful for analyzing event sequences, cumulative activity, and trends where the position of each event in the result set matters.<\/span><\/p>\n

                            Question 94: Which SPL command can convert a multivalue field into separate events?<\/b><\/p>\n

                              \n
                            1. <\/b> makemv<\/span><\/li>\n
                            2. <\/b> mvexpand<\/span><\/li>\n
                            3. <\/b> mvcombine<\/span><\/li>\n
                            4. <\/b> expandmv<\/span><\/li>\n<\/ol>\n

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

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

                              The <\/span>mvexpand<\/span> command creates a separate result for each value in a multivalue field. For example, if an event contains a multivalue <\/span>roles<\/span> field with values <\/span>admin<\/span>, <\/span>analyst<\/span>, and <\/span>user<\/span>, <\/span>mvexpand roles<\/span> produces separate results for those values. This is useful when each value needs to be analyzed individually with later SPL commands. <\/span>makemv<\/span> performs a different task by creating a multivalue field from a delimited field. The other commands shown are not the standard SPL command for expanding multivalue fields into separate results.<\/span><\/p>\n

                              Question 95: Which SPL command can convert a delimited single-value field into a multivalue field?<\/b><\/p>\n

                                \n
                              1. <\/b> mvexpand<\/span><\/li>\n
                              2. <\/b> makemv<\/span><\/li>\n
                              3. <\/b> splitmv<\/span><\/li>\n
                              4. <\/b> multivalue<\/span><\/li>\n<\/ol>\n

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

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

                                The <\/span>makemv<\/span> command converts a field containing delimiter-separated values into a multivalue field. For example, if a field contains <\/span>admin,user,analyst<\/span>, a search can use <\/span>makemv delim=”,” roles<\/span> to create separate multivalue elements. This is often useful when raw event data stores multiple related values in one string. <\/span>mvexpand<\/span> performs the opposite kind of operation by expanding multivalue values into separate search results. The other choices are not standard SPL commands for creating a multivalue field from a delimited string.<\/span><\/p>\n

                                Question 96: Which SPL function returns the number of distinct values of a field?<\/b><\/p>\n

                                  \n
                                1. <\/b> unique()<\/span><\/li>\n
                                2. <\/b> distinct()<\/span><\/li>\n
                                3. <\/b> dc()<\/span><\/li>\n
                                4. <\/b> countunique()<\/span><\/li>\n<\/ol>\n

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

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

                                  The <\/span>dc()<\/span> statistical function returns the distinct count of values in a field. For example, <\/span>stats dc(user) as unique_users<\/span> calculates the number of unique users represented by the search results. This is different from <\/span>count(user)<\/span>, which counts events containing the field rather than determining how many different values occur. Distinct counting is useful for measuring unique users, IP addresses, hosts, sessions, or other identifiers. The functions <\/span>unique()<\/span>, <\/span>distinct()<\/span>, and <\/span>countunique()<\/span> shown in the other choices are not the standard SPL function for this calculation.<\/span><\/p>\n

                                  Question 97: Which SPL command changes the name of an existing field without changing its values?<\/b><\/p>\n

                                    \n
                                  1. <\/b> rename<\/span><\/li>\n
                                  2. <\/b> changefield<\/span><\/li>\n
                                  3. <\/b> modify<\/span><\/li>\n
                                  4. <\/b> alias<\/span><\/li>\n<\/ol>\n

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

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

                                    The <\/span>rename<\/span> command changes the name of a field while preserving its underlying values. For example, <\/span>rename src_ip AS source_ip<\/span> changes the field name from <\/span>src_ip<\/span> to <\/span>source_ip<\/span>. This can make search results easier to understand or align field names with organizational conventions. The command does not itself modify the field’s values. Other choices shown are not the standard SPL command for renaming fields. Multiple fields can also be renamed in a single <\/span>rename<\/span> command, making it useful when preparing results for reports or dashboards.<\/span><\/p>\n

                                    Question 98: Which SPL command removes a field from the search results?<\/b><\/p>\n

                                      \n
                                    1. <\/b> delete<\/span><\/li>\n
                                    2. <\/b> fields – fieldname<\/span><\/li>\n
                                    3. <\/b> removefield<\/span><\/li>\n
                                    4. <\/b> dropfield<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 2. <\/b>fields – fieldname<\/b><\/p>\n

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

                                      The <\/span>fields<\/span> command controls which fields are included in search results. Using a minus sign removes the specified field, such as <\/span>fields – password<\/span>, which excludes the <\/span>password<\/span> field from the results. This is useful for reducing unnecessary data and preventing sensitive fields from appearing in output. The <\/span>fields<\/span> command can also be used to retain only selected fields. The other choices are not the standard SPL syntax for removing a field from search results. Field selection is especially useful when preparing clean output for reports, tables, and dashboard visualizations.<\/span><\/p>\n

                                      Question 99: Which SPL command filters results after a statistical calculation has been performed?<\/b><\/p>\n

                                        \n
                                      1. <\/b> where<\/span><\/li>\n
                                      2. <\/b> filterstats<\/span><\/li>\n
                                      3. <\/b> postfilter<\/span><\/li>\n
                                      4. <\/b> having<\/span><\/li>\n<\/ol>\n

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

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

                                        The <\/span>where<\/span> command evaluates an expression against the current search results and keeps only results that satisfy the condition. It can therefore be used after commands such as <\/span>stats<\/span> to filter calculated results. For example, <\/span>stats count by host | where count > 100<\/span> returns only hosts with more than 100 events. This differs from the initial search portion, which filters raw events before later commands execute. <\/span>where<\/span> is especially useful for conditions involving calculated fields or statistical results. The other choices are not standard SPL commands for this type of post-aggregation filtering.<\/span><\/p>\n

                                        Question 100: Which SPL command displays the most common values of a specified field?<\/b><\/p>\n

                                          \n
                                        1. <\/b> frequent<\/span><\/li>\n
                                        2. <\/b> top<\/span><\/li>\n
                                        3. <\/b> mostcommon<\/span><\/li>\n
                                        4. <\/b> rank<\/span><\/li>\n<\/ol>\n

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

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

                                          The <\/span>top<\/span> command identifies the most frequent values of one or more fields and provides statistics about their occurrence. For example, <\/span>top limit=5 user<\/span> returns the five users with the highest occurrence counts. This is useful for quickly identifying dominant values in event data, such as the most common users, URLs, error codes, or source IP addresses. The <\/span>stats<\/span> command can also be used for customized frequency analysis, but <\/span>top<\/span> is specifically designed for displaying the most common field values. The other choices are not standard SPL commands for this purpose.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-5002 Exam Dumps and Practice Test Dumps   Question 81: Which Splunk command is used to calculate the total number of events for each value of the status field? stats sum(status) by status stats count by status eventstats status by count chart total(status) Correct Answer: 2. stats count by status Explanation :- […]<\/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\/21669"}],"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=21669"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21669\/revisions"}],"predecessor-version":[{"id":21670,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21669\/revisions\/21670"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=21669"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=21669"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=21669"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}