{"id":21671,"date":"2026-09-25T06:49:27","date_gmt":"2026-09-25T06:49:27","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=21671"},"modified":"2026-09-25T06:49:27","modified_gmt":"2026-09-25T06:49:27","slug":"splunk-splk-5002-practice-test-questions-and-exam-dumps-part-6-q101-120","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-5002-practice-test-questions-and-exam-dumps-part-6-q101-120\/","title":{"rendered":"Splunk SPLK-5002 Practice Test Questions and Exam Dumps Part 6 Q101-120"},"content":{"rendered":"

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

 <\/p>\n

Question 101: Which SPL command can be used to return only events where the <\/b>status<\/b> field has a value of 500?<\/b><\/p>\n

    \n
  1. <\/b> stats status=500<\/span><\/li>\n
  2. <\/b> where status<\/span><\/li>\n
  3. <\/b> search status=500<\/span><\/li>\n
  4. <\/b> filter status 500<\/span><\/li>\n<\/ol>\n

    Correct Answer: 3. <\/b>search status=500<\/b><\/p>\n

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

    The <\/span>search<\/span> command filters events based on search criteria. Therefore, <\/span>search status=500<\/span> returns only events where the <\/span>status<\/span> field matches 500. The same condition can also be included directly in the initial search without explicitly writing the <\/span>search<\/span> command. This type of filtering is useful when narrowing a large dataset to a particular HTTP response code, authentication state, or other field value. <\/span>stats<\/span> is used for aggregation, while <\/span>where<\/span> requires a valid comparison expression. The other choices are not valid SPL syntax for filtering events based on a field value.<\/span><\/p>\n

    Question 102: Which SPL command is used to rename multiple fields in a single search?<\/b><\/p>\n

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

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

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

      The <\/span>rename<\/span> command can rename one or multiple fields within a search. For example, <\/span>rename src_ip AS source_ip dest_ip AS destination_ip<\/span> changes both field names while retaining their values. Renaming fields is useful when preparing results for reports, standardizing field names, or making output easier to understand. The command changes the field names only; it does not perform statistical calculations or alter the underlying event values. The other commands listed are not standard SPL commands for renaming multiple fields. Correct field naming can also make later SPL commands easier to read and maintain.<\/span><\/p>\n

      Question 103: Which SPL command returns the first matching result after sorting events by <\/b>_time<\/b> in descending order?<\/b><\/p>\n

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

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

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

        The <\/span>head 1<\/span> command returns the first result in the current result order. If the events have already been sorted by <\/span>_time<\/span> in descending order, the first result represents the most recent event. For example, <\/span>sort – _time<\/span> followed by <\/span>head 1<\/span> is conceptually used to isolate the latest event, although a dedicated statistical approach may often be more efficient. <\/span>top<\/span> is intended for frequency analysis, while <\/span>first<\/span> and <\/span>latest<\/span> are not standalone SPL commands for limiting search results in this manner. Understanding result ordering is important when using <\/span>head<\/span>.<\/span><\/p>\n

        Question 104: Which SPL command can calculate the maximum value of <\/b>bytes_out<\/b> for each host?<\/b><\/p>\n

          \n
        1. <\/b> stats high(bytes_out) by host<\/span><\/li>\n
        2. <\/b> stats max(bytes_out) by host<\/span><\/li>\n
        3. <\/b> stats largest(bytes_out) for host<\/span><\/li>\n
        4. <\/b> max bytes_out by host<\/span><\/li>\n<\/ol>\n

          Correct Answer: 2. <\/b>stats max(bytes_out) by host<\/b><\/p>\n

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

          The <\/span>stats max(bytes_out) by host<\/span> command calculates the highest <\/span>bytes_out<\/span> value for each distinct host. The <\/span>max()<\/span> statistical function identifies the maximum value, while <\/span>by host<\/span> creates a separate result for each host. This can be useful when identifying servers or systems that generated the largest outbound traffic value during a selected time range. The other choices use invalid function names or incorrect SPL syntax. Similar statistical functions include <\/span>min()<\/span> for the lowest value, <\/span>avg()<\/span> for the average, and <\/span>sum()<\/span> for the total.<\/span><\/p>\n

          Question 105: Which SPL command can calculate the total number of events and the average response time in the same result?<\/b><\/p>\n

            \n
          1. <\/b> stats count, avg(response_time)<\/span><\/li>\n
          2. <\/b> stats total(), mean(response_time)<\/span><\/li>\n
          3. <\/b> eventstats count avg(response_time)<\/span><\/li>\n
          4. <\/b> calculate count avg(response_time)<\/span><\/li>\n<\/ol>\n

            Correct Answer: 1. <\/b>stats count, avg(response_time)<\/b><\/p>\n

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

            The <\/span>stats<\/span> command can perform multiple statistical calculations in a single command. <\/span>stats count, avg(response_time)<\/span> returns the total event count and the average value of <\/span>response_time<\/span> across the matching events. Multiple functions can be separated by commas, and aliases can be added with the <\/span>as<\/span> keyword when clearer field names are needed. <\/span>eventstats<\/span> behaves differently because it adds aggregate values back to individual events. The other choices use functions or syntax that are not standard SPL. Combining statistics in one command is efficient when building summary reports or dashboard searches.<\/span><\/p>\n

            Question 106: Which SPL command can create time buckets from the <\/b>_time<\/b> field before calculating statistics?<\/b><\/p>\n

              \n
            1. <\/b> bucket<\/span><\/li>\n
            2. <\/b> group_time<\/span><\/li>\n
            3. <\/b> timebucket<\/span><\/li>\n
            4. <\/b> interval<\/span><\/li>\n<\/ol>\n

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

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

              The <\/span>bucket<\/span> command discretizes continuous values into groups or bins. When applied to <\/span>_time<\/span>, it can create time buckets such as five-minute or one-hour intervals. For example, <\/span>bucket _time span=5m<\/span> groups events into five-minute time periods. This is useful when performing statistics by time intervals or preparing data for time-based analysis. <\/span>timechart<\/span> can also automatically create time buckets, but <\/span>bucket<\/span> provides explicit control over the field and interval. The other commands shown are not standard SPL commands for creating time buckets.<\/span><\/p>\n

              Question 107: Which SPL command can search for events where a field contains a value matching a regular expression?<\/b><\/p>\n

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

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

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

                The <\/span>regex<\/span> command filters search results using a regular expression. For example, <\/span>regex user=”^admin”<\/span> keeps events where the <\/span>user<\/span> field begins with <\/span>admin<\/span>. Unlike <\/span>rex<\/span>, which is primarily used to extract or transform data using regular expressions, <\/span>regex<\/span> is used to filter events. This distinction is important when deciding whether a regular expression should create a new field or remove events that do not match a pattern. The other choices are not standard SPL commands for regular-expression filtering.<\/span><\/p>\n

                Question 108: Which SPL command can combine the values of a multivalue field into a single value separated by a delimiter?<\/b><\/p>\n

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

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

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

                  The <\/span>mvcombine<\/span> command combines multiple values into a multivalue field when results contain repeated values that should be grouped together. It can be useful when transforming search results so that related values are represented collectively rather than as separate rows. <\/span>makemv<\/span> is used to create multivalue fields from delimited strings, while <\/span>mvexpand<\/span> expands multivalue fields into separate results. The choices shown distinguish several multivalue-related operations, and understanding the purpose of each command helps avoid applying the wrong transformation during SPL searches.<\/span><\/p>\n

                  Question 109: Which SPL command can combine the results of two searches by adding the results of the second search to the first?<\/b><\/p>\n

                    \n
                  1. <\/b> append<\/span><\/li>\n
                  2. <\/b> merge<\/span><\/li>\n
                  3. <\/b> union<\/span><\/li>\n
                  4. <\/b> combine<\/span><\/li>\n<\/ol>\n

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

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

                    The <\/span>append<\/span> command adds the results of a subsearch to the results of the main search. For example, a search for one category of events can be followed by <\/span>append [ search … ]<\/span> to include another set of results. This is useful when the searches return related data that should appear in one result set. <\/span>append<\/span> differs from commands such as <\/span>join<\/span>, which combines fields from matching records. The other choices are not the standard SPL command for appending subsearch results. Understanding how result sets are combined is important when building more complex searches.<\/span><\/p>\n

                    Question 110: Which SPL command can identify the earliest event time for each <\/b>user<\/b>?<\/b><\/p>\n

                      \n
                    1. <\/b> stats earliest(_time) by user<\/span><\/li>\n
                    2. <\/b> stats first_time(_time) by user<\/span><\/li>\n
                    3. <\/b> timechart earliest user<\/span><\/li>\n
                    4. <\/b> earliest user by _time<\/span><\/li>\n<\/ol>\n

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

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

                      The <\/span>earliest()<\/span> statistical function returns the earliest value of a field, and when applied to <\/span>_time<\/span>, it identifies the earliest event timestamp. <\/span>stats earliest(_time) by user<\/span> produces one result for each user and shows the earliest event time associated with that user. This is useful for determining when each user first appeared in the selected search results. The other options either use nonexistent functions or incorrect syntax. The search time range still limits which events can be considered, so the result represents the earliest matching event within the selected search period.<\/span><\/p>\n

                      Question 111: Which SPL command can calculate the 95th percentile of a numeric field?<\/b><\/p>\n

                        \n
                      1. <\/b> stats percentile95(response_time)<\/span><\/li>\n
                      2. <\/b> stats p95(response_time)<\/span><\/li>\n
                      3. <\/b> stats percent(response_time,95)<\/span><\/li>\n
                      4. <\/b> stats 95percent(response_time)<\/span><\/li>\n<\/ol>\n

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

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

                        The <\/span>p95()<\/span> statistical function calculates the 95th percentile of a numeric field. For example, <\/span>stats p95(response_time)<\/span> identifies the response-time value below which approximately 95 percent of the observations fall. Percentile measurements are often more informative than averages when analyzing performance because they can reveal behavior toward the slower end of a distribution. The other function names shown are not the standard SPL syntax for calculating the 95th percentile. Similar percentile functions can be used for other thresholds when supported by the SPL statistical functions.<\/span><\/p>\n

                        Question 112: Which SPL command can retain only the <\/b>user<\/b>, <\/b>host<\/b>, and <\/b>status<\/b> fields?<\/b><\/p>\n

                          \n
                        1. <\/b> fields user host status<\/span><\/li>\n
                        2. <\/b> keep user host status<\/span><\/li>\n
                        3. <\/b> retain user host status<\/span><\/li>\n
                        4. <\/b> select user host status<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 1. <\/b>fields user host status<\/b><\/p>\n

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

                          The <\/span>fields<\/span> command can specify which fields should remain in the search results. <\/span>fields user host status<\/span> retains those three fields and removes other fields from the result set. This is useful when preparing concise tables, reducing unnecessary output, or limiting the data passed to later search commands. The command can also exclude fields by using a minus sign, such as <\/span>fields – password<\/span>. The other choices are not standard SPL commands for selecting a set of fields. Field selection is commonly used near the end of searches that produce report-ready results.<\/span><\/p>\n

                          Question 113: Which SPL command can calculate the number of events for each combination of <\/b>host<\/b> and <\/b>status<\/b>?<\/b><\/p>\n

                            \n
                          1. <\/b> stats count by host,status<\/span><\/li>\n
                          2. <\/b> stats count host and status<\/span><\/li>\n
                          3. <\/b> count by host status<\/span><\/li>\n
                          4. <\/b> stats events by host,status<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 1. <\/b>stats count by host,status<\/b><\/p>\n

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

                            The <\/span>stats count by host,status<\/span> command counts events for every unique combination of <\/span>host<\/span> and <\/span>status<\/span>. For example, the results can show how many HTTP 200, 404, and 500 events occurred on each host. Multiple fields can be specified after the <\/span>by<\/span> clause, separated by commas or spaces according to the SPL syntax supported. The other options either use invalid syntax or an invalid aggregation name. Grouping by multiple fields is useful when a simple count by one dimension does not provide enough detail for operational or security analysis.<\/span><\/p>\n

                            Question 114: Which SPL command can calculate a running average of <\/b>response_time<\/b> as events are processed?<\/b><\/p>\n

                              \n
                            1. <\/b> stats avg(response_time)<\/span><\/li>\n
                            2. <\/b> eventstats avg(response_time)<\/span><\/li>\n
                            3. <\/b> streamstats avg(response_time)<\/span><\/li>\n
                            4. <\/b> running avg(response_time)<\/span><\/li>\n<\/ol>\n

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

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

                              The <\/span>streamstats<\/span> command can calculate statistics progressively as events are processed. <\/span>streamstats avg(response_time)<\/span> produces a running average that changes as additional events are encountered. This differs from <\/span>stats avg(response_time)<\/span>, which calculates one overall average for the selected results. <\/span>eventstats avg(response_time)<\/span> calculates an aggregate and adds the result to events rather than creating a progressive calculation. Running statistics are useful for monitoring changing behavior across an ordered event stream and can help identify trends as more events are processed.<\/span><\/p>\n

                              Question 115: Which SPL command can determine the number of unique users who generated events?<\/b><\/p>\n

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

                                Correct Answer: 2. <\/b>stats dc(user)<\/b><\/p>\n

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

                                The <\/span>dc()<\/span> function calculates the distinct count of a field. Therefore, <\/span>stats dc(user)<\/span> returns the number of unique user values represented by the matching events. This is different from <\/span>count(user)<\/span>, which counts events containing the field and can count the same user multiple times. Distinct counts are useful when measuring unique users, hosts, IP addresses, sessions, or other identifiers. The <\/span>dc()<\/span> function is commonly combined with <\/span>stats<\/span> and can also be grouped by another field when separate unique-user counts are required for different hosts, applications, or time periods.<\/span><\/p>\n

                                Question 116: Which SPL command can filter events where the numeric <\/b>response_time<\/b> is greater than 1000?<\/b><\/p>\n

                                  \n
                                1. <\/b> where response_time > 1000<\/span><\/li>\n
                                2. <\/b> filter response_time > 1000<\/span><\/li>\n
                                3. <\/b> search response_time greater 1000<\/span><\/li>\n
                                4. <\/b> compare response_time > 1000<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 1. <\/b>where response_time > 1000<\/b><\/p>\n

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

                                  The <\/span>where<\/span> command evaluates expressions and retains results that satisfy the condition. <\/span>where response_time > 1000<\/span> therefore keeps events where the numeric <\/span>response_time<\/span> value exceeds 1000. This is useful for identifying slow transactions, high-latency requests, or other threshold violations. The <\/span>search<\/span> command can also perform many field comparisons, but the syntax shown in the other choices is not valid SPL. <\/span>where<\/span> is especially useful after calculated fields have been created with <\/span>eval<\/span> or after statistical results have been produced with commands such as <\/span>stats<\/span>.<\/span><\/p>\n

                                  Question 117: Which SPL command can return the top five most frequent values of the <\/b>source_ip<\/b> field?<\/b><\/p>\n

                                    \n
                                  1. <\/b> top source_ip limit=5<\/span><\/li>\n
                                  2. <\/b> stats top(source_ip) 5<\/span><\/li>\n
                                  3. <\/b> head source_ip 5<\/span><\/li>\n
                                  4. <\/b> rank source_ip limit=5<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1. <\/b>top source_ip limit=5<\/b><\/p>\n

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

                                    The <\/span>top<\/span> command identifies the most frequent values of a field. <\/span>top source_ip limit=5<\/span> returns the five most common <\/span>source_ip<\/span> values along with related frequency information. This is useful for quickly identifying dominant source addresses, users, URLs, or other categorical values. <\/span>head<\/span> limits existing search results but does not calculate frequency rankings, while the other choices do not represent valid SPL syntax for this task. The <\/span>limit<\/span> argument controls how many top values are returned, making <\/span>top<\/span> convenient for ranked summaries.<\/span><\/p>\n

                                    Question 118: Which SPL command can replace a field value with another value using an expression?<\/b><\/p>\n

                                      \n
                                    1. <\/b> replace<\/span><\/li>\n
                                    2. <\/b> substitute<\/span><\/li>\n
                                    3. <\/b> change<\/span><\/li>\n
                                    4. <\/b> alter<\/span><\/li>\n<\/ol>\n

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

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

                                      The <\/span>replace<\/span> command performs value replacement within specified fields based on a pattern and replacement expression. It can be useful when standardizing values or transforming event data for analysis. For example, it can replace one textual representation with another in a field. This differs from <\/span>rename<\/span>, which changes the field name itself, and from <\/span>eval<\/span>, which can create or modify fields using expressions. The other choices are not standard SPL commands for direct field-value replacement. When transforming event data, it is important to distinguish between changing a field’s name and changing its contents.<\/span><\/p>\n

                                      Question 119: Which SPL command can group events into transactions based on a common session identifier?<\/b><\/p>\n

                                        \n
                                      1. <\/b> transaction session_id<\/span><\/li>\n
                                      2. <\/b> sessionize session_id<\/span><\/li>\n
                                      3. <\/b> group session_id<\/span><\/li>\n
                                      4. <\/b> collect session_id<\/span><\/li>\n<\/ol>\n

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

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

                                        The <\/span>transaction<\/span> command groups related events into transactions based on one or more specified fields. <\/span>transaction session_id<\/span> groups events that share the same <\/span>session_id<\/span>, allowing the complete sequence of events for a session to be analyzed together. Transaction searches can be useful for investigating user sessions, workflows, or multi-event activities. However, transactions can be resource-intensive on large datasets, so other approaches such as <\/span>stats<\/span> or <\/span>streamstats<\/span> may sometimes be preferable. The other commands listed are not standard SPL commands for creating transactions based on a session identifier.<\/span><\/p>\n

                                        Question 120: Which SPL command can create a table containing only the <\/b>user<\/b>, <\/b>action<\/b>, and <\/b>count<\/b> fields after aggregation?<\/b><\/p>\n

                                          \n
                                        1. <\/b> table user action count<\/span><\/li>\n
                                        2. <\/b> fields user action count<\/span><\/li>\n
                                        3. <\/b> select user action count<\/span><\/li>\n
                                        4. <\/b> columns user action count<\/span><\/li>\n<\/ol>\n

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

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

                                          The <\/span>table<\/span> command formats search results into a table containing only the specified fields and displays them in the order listed. For example, <\/span>table user action count<\/span> produces columns for <\/span>user<\/span>, <\/span>action<\/span>, and <\/span>count<\/span>. This is particularly useful after a <\/span>stats<\/span> command has generated summary fields and the final output needs to be presented clearly. Although <\/span>fields<\/span> can also control which fields are retained, <\/span>table<\/span> is specifically designed to organize the final results into a tabular format. The other commands are not standard SPL commands for producing this type of output.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-5002 Exam Dumps and Practice Test Dumps   Question 101: Which SPL command can be used to return only events where the status field has a value of 500? stats status=500 where status search status=500 filter status 500 Correct Answer: 3. search status=500 Explanation :- The search command filters events based on […]<\/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\/21671"}],"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=21671"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21671\/revisions"}],"predecessor-version":[{"id":21672,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21671\/revisions\/21672"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=21671"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=21671"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=21671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}