{"id":21691,"date":"2026-09-25T06:52:44","date_gmt":"2026-09-25T06:52:44","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=21691"},"modified":"2026-09-25T06:52:44","modified_gmt":"2026-09-25T06:52:44","slug":"splunk-splk-5002-practice-test-questions-and-exam-dumps-part-17-q321-340","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-5002-practice-test-questions-and-exam-dumps-part-17-q321-340\/","title":{"rendered":"Splunk SPLK-5002 Practice Test Questions and Exam Dumps Part 17 Q321-340"},"content":{"rendered":"

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

 <\/p>\n

Question 321. An analyst needs to return the top 10 values of a field based on their frequency and include the percentage of the total represented by each value. Which command is most appropriate?<\/b><\/p>\n

    \n
  1. <\/b> stats<\/span><\/li>\n
  2. <\/b> top<\/span><\/li>\n
  3. <\/b> eventstats<\/span><\/li>\n
  4. <\/b> chart<\/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 frequently occurring values for one or more fields. It can also provide supporting information such as counts and percentages, making it useful for quickly identifying dominant values in a dataset. The number of returned values can be controlled with options such as <\/span>limit<\/span>. <\/span>stats<\/span> is a general aggregation command and requires the analyst to construct the desired calculations manually. <\/span>eventstats<\/span> adds aggregate information back to events, while <\/span>chart<\/span> creates statistical tables. For a straightforward frequency-based ranking of field values, <\/span>top<\/span> is designed specifically for this purpose.<\/span><\/p>\n

    Question 322. A search produces a large number of events, but the analyst wants to keep only the first 25 results after all preceding search commands have executed. Which command should be used?<\/b><\/p>\n

      \n
    1. <\/b> head 25<\/span><\/li>\n
    2. <\/b> tail 25<\/span><\/li>\n
    3. <\/b> dedup 25<\/span><\/li>\n
    4. <\/b> limit 25<\/span><\/li>\n<\/ol>\n

      Correct Answer: 1. <\/b>head 25<\/b><\/p>\n

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

      The <\/span>head<\/span> command returns the first events from the current result set. Using <\/span>head 25<\/span> limits the output to the first 25 results after the preceding pipeline has produced its results. <\/span>tail 25<\/span> instead returns the final 25 results, while <\/span>dedup<\/span> removes duplicate values rather than simply limiting the number of results. <\/span>limit<\/span> is not the standard SPL command for this purpose. Analysts often use <\/span>head<\/span> during testing or when only a small sample of results is required. The ordering of the results should be considered because <\/span>head<\/span> operates on the result order it receives.<\/span><\/p>\n

      Question 323. A search needs to return only the last 10 results from the current result set. Which SPL command should be used?<\/b><\/p>\n

        \n
      1. <\/b> head 10<\/span><\/li>\n
      2. <\/b> tail 10<\/span><\/li>\n
      3. <\/b> reverse 10<\/span><\/li>\n
      4. <\/b> last 10<\/span><\/li>\n<\/ol>\n

        Correct Answer: 2. <\/b>tail 10<\/b><\/p>\n

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

        The <\/span>tail<\/span> command returns the final events from the current result set. Therefore, <\/span>tail 10<\/span> keeps the last ten results. <\/span>head 10<\/span> performs the opposite operation by returning the first ten results. <\/span>reverse<\/span> changes result ordering but does not itself provide a numeric limit in this manner, and <\/span>last<\/span> is not the equivalent command for limiting search results. The result ordering should be understood before using <\/span>tail<\/span>, because the meaning of \u201clast\u201d depends on how the preceding search has ordered its results. This makes <\/span>tail<\/span> useful when examining the most recent or final portion of an ordered result set.<\/span><\/p>\n

        Question 324. An analyst wants to sort results by <\/b>bytes_out<\/b> from the largest value to the smallest value and then keep only the first five results. Which SPL pipeline is appropriate?<\/b><\/p>\n

          \n
        1. <\/b> | sort bytes_out | head 5<\/span><\/li>\n
        2. <\/b> | sort -bytes_out | head 5<\/span><\/li>\n
        3. <\/b> | sort +bytes_out | tail 5<\/span><\/li>\n
        4. <\/b> | sort -count | tail 5<\/span><\/li>\n<\/ol>\n

          Correct Answer: 2. <\/b>| sort -bytes_out | head 5<\/b><\/p>\n

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

          In SPL, a minus sign before a field in the <\/span>sort<\/span> command specifies descending order. Therefore, <\/span>sort -bytes_out<\/span> places the largest <\/span>bytes_out<\/span> values first. Applying <\/span>head 5<\/span> afterward retains the five largest results. Using <\/span>sort bytes_out<\/span> produces ascending order, while <\/span>sort +bytes_out<\/span> explicitly indicates ascending order. <\/span>tail<\/span> would select the final results and therefore would not provide the intended top-five values after descending sorting. This pattern is commonly used when an analyst needs to identify the largest values for bandwidth, response size, transaction volume, or similar numeric metrics.<\/span><\/p>\n

          Question 325. A search returns results sorted by <\/b>_time<\/b>, but the analyst wants the newest events displayed first. Which command can explicitly sort the results in descending timestamp order?<\/b><\/p>\n

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

            Correct Answer: 2. <\/b>sort -_time<\/b><\/p>\n

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

            The <\/span>sort<\/span> command can explicitly order results using a specified field. Prefixing <\/span>_time<\/span> with a minus sign requests descending order, so <\/span>sort -_time<\/span> places the newest timestamps first. <\/span>sort _time<\/span> sorts in ascending order. <\/span>reverse<\/span> changes the order of the existing result set rather than explicitly sorting by <\/span>_time<\/span>, while <\/span>head<\/span> limits results rather than sorting them. Explicit sorting is useful when the desired ordering must be guaranteed regardless of how earlier commands produced the results. It is particularly helpful before applying commands such as <\/span>head<\/span>, <\/span>delta<\/span>, or other order-sensitive operations.<\/span><\/p>\n

            Question 326. An analyst wants to remove duplicate events based on the combination of <\/b>user<\/b> and <\/b>host<\/b>, keeping only the first occurrence of each unique combination. Which SPL command is appropriate?<\/b><\/p>\n

              \n
            1. <\/b> dedup user host<\/span><\/li>\n
            2. <\/b> stats values(user) by host<\/span><\/li>\n
            3. <\/b> uniq user host<\/span><\/li>\n
            4. <\/b> distinct user host<\/span><\/li>\n<\/ol>\n

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

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

              The <\/span>dedup<\/span> command removes duplicate results based on the specified fields. Using <\/span>dedup user host<\/span> keeps one result for each unique combination of <\/span>user<\/span> and <\/span>host<\/span>. The result that is retained depends on the ordering of the events entering the <\/span>dedup<\/span> command, so analysts should sort the results first when a particular occurrence needs to be preserved. <\/span>stats values()<\/span> produces aggregated results rather than simply removing duplicate events. <\/span>uniq<\/span> and <\/span>distinct<\/span> are not equivalent SPL commands for this task. <\/span>dedup<\/span> is therefore the direct choice for retaining one event per unique field combination.<\/span><\/p>\n

              Question 327. A search needs to calculate both the minimum and maximum <\/b>response_time<\/b> for each application. Which SPL command provides both values in one aggregation?<\/b><\/p>\n

                \n
              1. <\/b> eventstats min(response_time) max(response_time) by application<\/span><\/li>\n
              2. <\/b> stats min(response_time) max(response_time) by application<\/span><\/li>\n
              3. <\/b> chart response_time by application<\/span><\/li>\n
              4. <\/b> timechart min(response_time) max(response_time)<\/span><\/li>\n<\/ol>\n

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

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

                The <\/span>stats<\/span> command can calculate multiple statistical aggregations in a single command. <\/span>stats min(response_time) max(response_time) by application<\/span> produces one row for each application with both the minimum and maximum response times. <\/span>eventstats<\/span> would calculate the values and add them back to the individual events, which is not required when only grouped summary results are needed. <\/span>chart<\/span> and <\/span>timechart<\/span> provide other table and time-series structures and are not the most direct choice for this requirement. Combining multiple aggregations in <\/span>stats<\/span> is efficient when the analyst needs a grouped summary containing several statistics.<\/span><\/p>\n

                Question 328. A search needs to calculate the average <\/b>bytes_out<\/b> for each host while also preserving the original events so the average can be compared with each event’s value. Which command should be used?<\/b><\/p>\n

                  \n
                1. <\/b> stats avg(bytes_out) by host<\/span><\/li>\n
                2. <\/b> eventstats avg(bytes_out) by host<\/span><\/li>\n
                3. <\/b> chart avg(bytes_out) by host<\/span><\/li>\n
                4. <\/b> timechart avg(bytes_out) by host<\/span><\/li>\n<\/ol>\n

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

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

                  The <\/span>eventstats<\/span> command calculates aggregate statistics while retaining the original events. Using <\/span>eventstats avg(bytes_out) by host<\/span> adds the average value for each host to every corresponding event. This allows the analyst to compare an individual event’s <\/span>bytes_out<\/span> with its host-level average. In contrast, <\/span>stats avg(bytes_out) by host<\/span> transforms the results into an aggregated table and does not preserve the original events. <\/span>chart<\/span> and <\/span>timechart<\/span> create other summary structures. <\/span>eventstats<\/span> is particularly useful when an aggregate benchmark needs to be used in subsequent event-level calculations or filtering.<\/span><\/p>\n

                  Question 329. A security analyst needs to count distinct users associated with each source IP address. Which SPL expression is appropriate?<\/b><\/p>\n

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

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

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

                    The <\/span>dc()<\/span> statistical function calculates the distinct count of a field. Therefore, <\/span>stats dc(user) by source_ip<\/span> returns the number of unique users associated with each source IP address. <\/span>count(user)<\/span> counts field occurrences and may count the same user multiple times. <\/span>values(user)<\/span> returns the distinct values themselves rather than their count. <\/span>distinct()<\/span> is not the standard statistical function for this requirement. Distinct counting is useful in security analytics when measuring how many unique users, hosts, IP addresses, or other entities are associated with a particular event attribute.<\/span><\/p>\n

                    Question 330. An analyst wants to return all distinct values of the <\/b>category<\/b> field for each department. Which statistical function should be used?<\/b><\/p>\n

                      \n
                    1. <\/b> list(category)<\/span><\/li>\n
                    2. <\/b> values(category)<\/span><\/li>\n
                    3. <\/b> dc(category)<\/span><\/li>\n
                    4. <\/b> count(category)<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 2. <\/b>values(category)<\/b><\/p>\n

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

                      The <\/span>values()<\/span> statistical function returns the distinct values of a field. Using <\/span>stats values(category) by department<\/span> produces the unique categories associated with each department. <\/span>dc(category)<\/span> returns only the number of distinct categories, not the actual values. <\/span>count(category)<\/span> counts occurrences, which can include repeated values. <\/span>list(category)<\/span> preserves the individual values in their result order and can include duplicates. When the requirement is specifically to obtain the unique set of category values for each group, <\/span>values()<\/span> is the appropriate function.<\/span><\/p>\n

                      Question 331. A search needs to preserve duplicate values and retain their original result order when collecting all <\/b>status<\/b> values for each host. Which statistical function is most appropriate?<\/b><\/p>\n

                        \n
                      1. <\/b> values(status)<\/span><\/li>\n
                      2. <\/b> dc(status)<\/span><\/li>\n
                      3. <\/b> list(status)<\/span><\/li>\n
                      4. <\/b> count(status)<\/span><\/li>\n<\/ol>\n

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

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

                        The <\/span>list()<\/span> statistical function collects field values while retaining duplicates and their order as represented in the results. This makes it different from <\/span>values()<\/span>, which returns distinct values. <\/span>dc()<\/span> provides only a distinct count, and <\/span>count()<\/span> returns the number of matching values rather than the actual sequence. <\/span>list()<\/span> is useful when the sequence or repeated occurrences of values matter, such as examining a series of statuses, actions, or states associated with a particular host. Analysts should consider the ordering of the input results when interpreting a collected list.<\/span><\/p>\n

                        Question 332. An analyst wants to find the number of events in each combination of <\/b>host<\/b> and <\/b>status<\/b>. Which SPL command is appropriate?<\/b><\/p>\n

                          \n
                        1. <\/b> stats count by host status<\/span><\/li>\n
                        2. <\/b> stats values(host) by status<\/span><\/li>\n
                        3. <\/b> eventstats count(host) by status<\/span><\/li>\n
                        4. <\/b> chart 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<\/span> command can group results by multiple fields. Using <\/span>stats count by host status<\/span> creates one row for each unique combination of host and status and calculates the number of events in that group. <\/span>values(host) by status<\/span> produces unique host values for each status rather than counts for every host-status combination. <\/span>eventstats<\/span> adds statistics back to individual events rather than producing only grouped results. <\/span>chart<\/span> has different syntax and output behavior. Grouping by multiple dimensions with <\/span>stats<\/span> is a fundamental technique for analyzing event distributions across combinations of fields.<\/span><\/p>\n

                          Question 333. A search needs to filter aggregated results so that only hosts with more than 100 events are returned. Which SPL pattern should be used?<\/b><\/p>\n

                            \n
                          1. <\/b> stats count by host | where count > 100<\/span><\/li>\n
                          2. <\/b> stats count by host | search host > 100<\/span><\/li>\n
                          3. <\/b> stats count by host | filter count > 100<\/span><\/li>\n
                          4. <\/b> stats count by host | dedup count > 100<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 1. <\/b>stats count by host | where count > 100<\/b><\/p>\n

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

                            After <\/span>stats count by host<\/span>, the resulting dataset contains a field named <\/span>count<\/span> representing the number of events for each host. The <\/span>where<\/span> command can then evaluate that calculated field and retain only rows where <\/span>count > 100<\/span>. A normal <\/span>search<\/span> expression is not the appropriate choice for evaluating this type of numeric comparison against an aggregated field. <\/span>filter<\/span> is not the equivalent standard SPL command, and <\/span>dedup<\/span> removes duplicate values rather than applying numeric conditions. This two-stage pattern is commonly used when filtering results based on calculated statistics.<\/span><\/p>\n

                            Question 334. An analyst needs to classify events based on a numeric severity score: scores of 8 or higher should be <\/b>Critical<\/b>, scores from 5 through 7 should be <\/b>High<\/b>, and lower scores should be <\/b>Normal<\/b>. Which SPL function is best suited for this classification?<\/b><\/p>\n

                              \n
                            1. <\/b> coalesce()<\/span><\/li>\n
                            2. <\/b> case()<\/span><\/li>\n
                            3. <\/b> split()<\/span><\/li>\n
                            4. <\/b> mvindex()<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 2. <\/b>case()<\/b><\/p>\n

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

                              The <\/span>case()<\/span> evaluation function is useful when multiple conditional rules must be evaluated and different output values returned. An expression can test whether a severity score is greater than or equal to 8, then whether it is greater than or equal to 5, and finally assign <\/span>Normal<\/span> to the remaining values. <\/span>coalesce()<\/span> selects the first non-null value, while <\/span>split()<\/span> and <\/span>mvindex()<\/span> operate on string and multivalue data. <\/span>case()<\/span> is especially useful for creating classifications, categories, severity labels, and other derived fields based on multiple conditions.<\/span><\/p>\n

                              Question 335. A field named <\/b>duration<\/b> contains milliseconds, and the analyst wants to create a new field containing the duration in seconds. Which SPL expression is appropriate?<\/b><\/p>\n

                                \n
                              1. <\/b> eval duration_seconds=duration*1000<\/span><\/li>\n
                              2. <\/b> eval duration_seconds=duration\/1000<\/span><\/li>\n
                              3. <\/b> eval duration_seconds=duration+1000<\/span><\/li>\n
                              4. <\/b> eval duration_seconds=duration-1000<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 2. <\/b>eval duration_seconds=duration\/1000<\/b><\/p>\n

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

                                One second equals 1,000 milliseconds, so converting a duration from milliseconds to seconds requires dividing the value by 1,000. The expression <\/span>eval duration_seconds=duration\/1000<\/span> creates a new field containing the converted value. Multiplying by 1,000 would instead convert seconds into milliseconds, while addition or subtraction does not perform a unit conversion. <\/span>eval<\/span> is appropriate because it can perform arithmetic operations and create calculated fields. Unit conversion through explicit arithmetic is common in SPL when source data uses different measurement units than the analyst needs for reporting or threshold comparisons.<\/span><\/p>\n

                                Question 336. An analyst needs to extract the domain portion from an email address such as <\/b>user@example.com<\/b> using a regular expression. Which command is designed for field extraction with regular expressions?<\/b><\/p>\n

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

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

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

                                  The <\/span>rex<\/span> command performs regular-expression-based field extraction and manipulation. It can use named capture groups to create a new field containing the desired portion of a value, such as the domain from an email address. The <\/span>regex<\/span> command is primarily used to filter events based on regular-expression matching rather than create extracted fields. <\/span>replace<\/span> changes string values, while <\/span>spath<\/span> is intended for structured data such as JSON. When an analyst needs to parse unstructured text using a regular expression and store the captured portion as a field, <\/span>rex<\/span> is the appropriate command.<\/span><\/p>\n

                                  Question 337. A search should keep only events where the <\/b>user<\/b> field begins with the prefix <\/b>admin<\/b>. Which command is appropriate for applying a regular-expression filter to the field?<\/b><\/p>\n

                                    \n
                                  1. <\/b> regex user=”^admin”<\/span><\/li>\n
                                  2. <\/b> rex user=”^admin”<\/span><\/li>\n
                                  3. <\/b> replace user=”^admin”<\/span><\/li>\n
                                  4. <\/b> spath user=”^admin”<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1. <\/b>regex user=”^admin”<\/b><\/p>\n

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

                                    The <\/span>regex<\/span> command filters events based on a regular expression applied to a specified field. The pattern <\/span>^admin<\/span> anchors the match to the beginning of the field value, so only users whose names start with <\/span>admin<\/span> are retained. <\/span>rex<\/span> is used primarily for extraction or transformation using regular expressions rather than straightforward event filtering. <\/span>replace<\/span> performs substitutions, and <\/span>spath<\/span> works with structured data. Regular expressions are useful when simple equality or wildcard matching is insufficient and the analyst needs more precise pattern-based filtering.<\/span><\/p>\n

                                    Question 338. A search needs to rename <\/b>src_ip<\/b> to <\/b>source_ip<\/b> and <\/b>dst_ip<\/b> to <\/b>destination_ip<\/b> without changing the underlying event data. Which command should be used?<\/b><\/p>\n

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

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

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

                                      The <\/span>rename<\/span> command changes field names in the search results. It can rename multiple fields in the same command, such as <\/span>rename src_ip AS source_ip dst_ip AS destination_ip<\/span>. This is useful when normalizing field names across different data sources or preparing results for reporting. <\/span>replace<\/span> modifies field values, <\/span>eval<\/span> creates or recalculates field values, and <\/span>fields<\/span> controls which fields are included or excluded. <\/span>rename<\/span> does not change the actual underlying indexed event; it changes how the fields are represented in the current search pipeline.<\/span><\/p>\n

                                      Question 339. An analyst wants to remove the sensitive <\/b>password<\/b> field from the results while retaining all other available fields. Which SPL command should be used?<\/b><\/p>\n

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

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

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

                                        The <\/span>fields<\/span> command can explicitly exclude fields by placing a minus sign before the field name. Therefore, <\/span>fields – password<\/span> removes the <\/span>password<\/span> field from the search results while leaving other fields available. <\/span>fields password<\/span> would instead keep only the specified field rather than excluding it. <\/span>delete<\/span> and <\/span>remove<\/span> are not the standard SPL commands for excluding a field from search results. Excluding unnecessary or sensitive fields can simplify output and reduce the amount of data passed through later stages of a search.<\/span><\/p>\n

                                        Question 340. A search needs to keep only the fields <\/b>user<\/b>, <\/b>host<\/b>, <\/b>status<\/b>, and <\/b>_time<\/b> for the final report. Which SPL command is most appropriate?<\/b><\/p>\n

                                          \n
                                        1. <\/b> fields – user host status _time<\/span><\/li>\n
                                        2. <\/b> table – user host status _time<\/span><\/li>\n
                                        3. <\/b> fields user host status _time<\/span><\/li>\n
                                        4. <\/b> rename user host status _time<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 3. <\/b>fields user host status _time<\/b><\/p>\n

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

                                          The <\/span>fields<\/span> command can specify exactly which fields should remain available in the search results. Using <\/span>fields user host status _time<\/span> keeps those four fields and excludes other fields from the results at that point in the pipeline. <\/span>fields –<\/span> is used for exclusion rather than selection. <\/span>table<\/span> can also format results using specified fields, but its primary purpose is to create a tabular presentation of the selected fields. <\/span>rename<\/span> changes field names rather than controlling field selection. When the requirement is to retain a specific set of fields for further processing or output, <\/span>fields<\/span> is appropriate.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-5002 Exam Dumps and Practice Test Dumps   Question 321. An analyst needs to return the top 10 values of a field based on their frequency and include the percentage of the total represented by each value. Which command is most appropriate? stats top eventstats chart Correct Answer: 2. top 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\/21691"}],"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=21691"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21691\/revisions"}],"predecessor-version":[{"id":21692,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21691\/revisions\/21692"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=21691"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=21691"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=21691"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}