{"id":21699,"date":"2026-09-25T06:55:45","date_gmt":"2026-09-25T06:55:45","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=21699"},"modified":"2026-09-25T06:55:46","modified_gmt":"2026-09-25T06:55:46","slug":"splunk-splk-5002-practice-test-questions-and-exam-dumps-part-16-q301-320","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-5002-practice-test-questions-and-exam-dumps-part-16-q301-320\/","title":{"rendered":"Splunk SPLK-5002 Practice Test Questions and Exam Dumps Part 16 Q301-320"},"content":{"rendered":"

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

 <\/p>\n

Question 301. An analyst needs to combine two searches so that the results from the second search are added below the results from the first search. Which command should be used?<\/b><\/p>\n

    \n
  1. <\/b> append<\/span><\/li>\n
  2. <\/b> appendcols<\/span><\/li>\n
  3. <\/b> appendpipe<\/span><\/li>\n
  4. <\/b> join<\/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 secondary search to the results of the current search. The two result sets are placed one after another, making <\/span>append<\/span> useful when the searches produce similar or complementary event sets. <\/span>appendcols<\/span> instead adds fields from another search as additional columns, while <\/span>appendpipe<\/span> runs another pipeline against the current results. <\/span>join<\/span> combines results based on matching fields and has different behavior and limitations. When the requirement is specifically to place the second search’s results underneath the first search’s results, <\/span>append<\/span> is the appropriate command.<\/span><\/p>\n

    Question 302. A search needs to add fields from a secondary search to the existing rows based on their result position rather than matching a common field. Which command is appropriate?<\/b><\/p>\n

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

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

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

      The <\/span>appendcols<\/span> command appends fields from the results of a secondary search to the current result set. The results are combined by their row position rather than by matching a common key field. This makes <\/span>appendcols<\/span> different from <\/span>join<\/span>, which combines datasets based on specified matching fields. <\/span>append<\/span> places one result set after another instead of adding columns, while <\/span>transaction<\/span> groups related events into transactions. Analysts should ensure that the two searches return compatible numbers of rows when using <\/span>appendcols<\/span>, because the resulting field alignment depends on result order.<\/span><\/p>\n

      Question 303. A security analyst wants to combine events that share a common <\/b>session_id<\/b> into transactions, while ensuring that a transaction cannot span more than 10 minutes. Which command and option are appropriate?<\/b><\/p>\n

        \n
      1. <\/b> transaction session_id maxspan=10m<\/span><\/li>\n
      2. <\/b> transaction session_id maxevents=10<\/span><\/li>\n
      3. <\/b> stats session_id span=10m<\/span><\/li>\n
      4. <\/b> eventstats session_id maxspan=10m<\/span><\/li>\n<\/ol>\n

        Correct Answer: 1. <\/b>transaction session_id maxspan=10m<\/b><\/p>\n

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

        The <\/span>transaction<\/span> command groups related events based on one or more fields. The <\/span>maxspan<\/span> option limits the maximum amount of time that a transaction can span. Therefore, <\/span>transaction session_id maxspan=10m<\/span> groups events sharing the same session ID while preventing a transaction from extending beyond ten minutes. <\/span>maxevents<\/span> limits the number of events rather than elapsed time. <\/span>stats<\/span> and <\/span>eventstats<\/span> calculate statistical results but do not provide the same transaction-grouping behavior. This distinction is important when analyzing user sessions, application requests, or other event sequences bounded by time.<\/span><\/p>\n

        Question 304. A transaction should contain no more than 50 events, regardless of how long the transaction lasts. Which option should be used with <\/b>transaction<\/b>?<\/b><\/p>\n

          \n
        1. <\/b> maxspan=50<\/span><\/li>\n
        2. <\/b> duration=50<\/span><\/li>\n
        3. <\/b> maxevents=50<\/span><\/li>\n
        4. <\/b> limit=50<\/span><\/li>\n<\/ol>\n

          Correct Answer: 3. <\/b>maxevents=50<\/b><\/p>\n

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

          The <\/span>maxevents<\/span> option limits the maximum number of events that can be included in a transaction. Setting <\/span>maxevents=50<\/span> ensures that a transaction cannot contain more than 50 events. This differs from <\/span>maxspan<\/span>, which limits the amount of elapsed time covered by the transaction. Options such as <\/span>duration<\/span> and <\/span>limit<\/span> do not provide the required <\/span>transaction<\/span> behavior for limiting event count. When analyzing sessions or sequences where excessive event counts need to be constrained, <\/span>maxevents<\/span> is the appropriate option.<\/span><\/p>\n

          Question 305. An analyst has a field containing <\/b>first_name<\/b> and <\/b>last_name<\/b> and wants to create a new field called <\/b>full_name<\/b> by combining the two values with a space between them. Which SPL expression is appropriate?<\/b><\/p>\n

            \n
          1. <\/b> eval full_name=first_name + last_name<\/span><\/li>\n
          2. <\/b> eval full_name=first_name . ” ” . last_name<\/span><\/li>\n
          3. <\/b> eval full_name=concat(first_name,last_name)<\/span><\/li>\n
          4. <\/b> eval full_name=join(first_name,last_name)<\/span><\/li>\n<\/ol>\n

            Correct Answer: 2. <\/b>eval full_name=first_name . ” ” . last_name<\/b><\/p>\n

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

            In SPL, the period operator is used for string concatenation. The expression <\/span>first_name . ” ” . last_name<\/span> combines the first name, a literal space, and the last name into one string. The <\/span>+<\/span> operator is generally used for numeric addition rather than the intended string concatenation behavior here. <\/span>concat()<\/span> and <\/span>join()<\/span> are not the appropriate SPL functions for this straightforward operation. Using <\/span>eval<\/span> with the period operator is a common way to construct a new string from multiple existing fields, especially when formatting names, identifiers, labels, or descriptive fields.<\/span><\/p>\n

            Question 306. A field named <\/b>status<\/b> contains the values <\/b>open<\/b>, <\/b>closed<\/b>, and <\/b>pending<\/b>. The analyst wants to replace every occurrence of <\/b>pending<\/b> with <\/b>in_progress<\/b>. Which command is suitable for modifying the field values?<\/b><\/p>\n

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

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

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

              The <\/span>replace<\/span> command is used to replace specified field values with other values in search results. It is appropriate when an analyst needs to change values such as <\/span>pending<\/span> to <\/span>in_progress<\/span> while retaining the field itself. <\/span>rename<\/span> changes the field name rather than its values. <\/span>rex<\/span> can extract or manipulate text using regular expressions, but it is not the most direct choice for a simple field-value replacement. <\/span>dedup<\/span> removes duplicate results. Using <\/span>replace<\/span> keeps the transformation focused on the requested value substitution without changing the underlying field name.<\/span><\/p>\n

              Question 307. An analyst wants to use an expression inside <\/b>eval<\/b> to replace the exact value <\/b>unknown<\/b> in a field named <\/b>department<\/b> with <\/b>unassigned<\/b>. Which function should be considered?<\/b><\/p>\n

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

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

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

                The <\/span>replace()<\/span> evaluation function can replace matching portions of a string and can be used when a value needs to be transformed within an <\/span>eval<\/span> expression. For example, an analyst can use it to change an exact textual value or matching substring. <\/span>coalesce()<\/span> selects the first non-null value among its arguments, while <\/span>mvindex()<\/span> retrieves an element from a multivalue field and <\/span>substr()<\/span> extracts part of a string. The <\/span>replace()<\/span> function is therefore appropriate when the transformation needs to occur directly within an <\/span>eval<\/span> expression rather than through a separate search command.<\/span><\/p>\n

                Question 308. A field contains the string <\/b>admin,analyst,operator<\/b>, and the analyst wants to convert it into a multivalue field using the comma as the delimiter. Which function should be used?<\/b><\/p>\n

                  \n
                1. <\/b> split()<\/span><\/li>\n
                2. <\/b> mvjoin()<\/span><\/li>\n
                3. <\/b> mvexpand<\/span><\/li>\n
                4. <\/b> mvcount()<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 1. <\/b>split()<\/b><\/p>\n

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

                  The <\/span>split()<\/span> function divides a string into a multivalue field using a specified delimiter. For example, splitting <\/span>admin,analyst,operator<\/span> using a comma produces separate multivalue elements for each role. <\/span>mvjoin()<\/span> performs the reverse type of operation by combining multivalue elements into a single string. <\/span>mvexpand<\/span> creates separate events from multivalue values, while <\/span>mvcount()<\/span> returns the number of values. <\/span>split()<\/span> is therefore the appropriate choice when a delimiter-separated string needs to be converted into a multivalue field for further SPL processing.<\/span><\/p>\n

                  Question 309. A multivalue field contains five values, and an analyst needs to combine them into one string separated by semicolons. Which function should be used?<\/b><\/p>\n

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

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

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

                    The <\/span>mvjoin()<\/span> function combines the values of a multivalue field into a single string using a specified delimiter. For example, five values can be joined using <\/span>;<\/span> so that the result becomes one semicolon-separated string. <\/span>split()<\/span> converts a string into a multivalue field, performing the opposite transformation. <\/span>mvindex()<\/span> retrieves selected elements from a multivalue field, while <\/span>mvexpand<\/span> creates separate events for individual values. <\/span>mvjoin()<\/span> is especially useful when multivalue data needs to be displayed, exported, or stored as a single readable field.<\/span><\/p>\n

                    Question 310. A search contains a multivalue field named <\/b>roles<\/b>, and the analyst needs to return the number of values stored in that field. Which function should be used?<\/b><\/p>\n

                      \n
                    1. <\/b> mvfind()<\/span><\/li>\n
                    2. <\/b> mvcount()<\/span><\/li>\n
                    3. <\/b> mvindex()<\/span><\/li>\n
                    4. <\/b> mvzip()<\/span><\/li>\n<\/ol>\n

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

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

                      The <\/span>mvcount()<\/span> function returns the number of values contained in a multivalue field. It is useful for measuring how many roles, tags, groups, or other values are associated with an event. <\/span>mvfind()<\/span> searches for a value matching a regular expression, while <\/span>mvindex()<\/span> retrieves values by their position. <\/span>mvzip()<\/span> combines corresponding values from two multivalue fields. When the requirement is simply to determine the size of a multivalue field, <\/span>mvcount()<\/span> provides the direct solution. It can be used within <\/span>eval<\/span> to create a numeric count field for additional filtering or reporting.<\/span><\/p>\n

                      Question 311. An analyst wants to calculate the average response time for each application and then display that average on every event belonging to the same application. Which command is appropriate?<\/b><\/p>\n

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

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

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

                        The <\/span>eventstats<\/span> command calculates statistics across groups of events and adds the resulting values back to each relevant event. Therefore, <\/span>eventstats avg(response_time) by application<\/span> calculates an application-level average and places that value on each event belonging to the corresponding application. <\/span>stats<\/span> instead transforms the event set into aggregated results, removing the individual events from the pipeline. <\/span>streamstats<\/span> calculates running statistics based on event order, and <\/span>timechart<\/span> creates time-based statistical output. <\/span>eventstats<\/span> is appropriate when an analyst needs both the original events and the group-level statistic available for comparison or further calculations.<\/span><\/p>\n

                        Question 312. A search needs a running count of events separately for each user, with the count increasing as each user’s events are processed. Which command is most appropriate?<\/b><\/p>\n

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

                          Correct Answer: 3. <\/b>streamstats count by user<\/b><\/p>\n

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

                          The <\/span>streamstats<\/span> command calculates running statistics as events pass through the search pipeline. Using <\/span>streamstats count by user<\/span> creates a cumulative event count independently for each user, with the value increasing as additional events for that user are processed. <\/span>stats<\/span> produces one aggregate row per user instead of preserving the running sequence. <\/span>eventstats<\/span> calculates group-level statistics and adds them back to events but does not provide the same sequential running-count behavior. <\/span>timechart<\/span> organizes statistics by time. <\/span>streamstats<\/span> is therefore the appropriate command for sequential per-user counting.<\/span><\/p>\n

                          Question 313. A search contains events with a <\/b>score<\/b> field, and the analyst wants to calculate the 95th percentile of the score separately for each host. Which SPL expression should be used?<\/b><\/p>\n

                            \n
                          1. <\/b> stats median(score) by host<\/span><\/li>\n
                          2. <\/b> stats p95(score) by host<\/span><\/li>\n
                          3. <\/b> stats max(score) by host<\/span><\/li>\n
                          4. <\/b> stats avg(score) by host<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 2. <\/b>stats p95(score) by host<\/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(score) by host<\/span> produces one 95th-percentile score for each host. <\/span>median()<\/span> calculates the 50th percentile, <\/span>max()<\/span> returns the largest observed value, and <\/span>avg()<\/span> calculates the arithmetic mean. Percentiles are particularly useful for performance analysis because they can show the upper range of observed values without being determined solely by the single largest observation. The 95th percentile is commonly used when analysts need to understand high-end response or processing behavior.<\/span><\/p>\n

                            Question 314. A field named <\/b>department<\/b> may be missing, but another field named <\/b>default_department<\/b> contains a fallback value. Which function can select the first available non-null value?<\/b><\/p>\n

                              \n
                            1. <\/b> isnull()<\/span><\/li>\n
                            2. <\/b> coalesce()<\/span><\/li>\n
                            3. <\/b> isnotnull()<\/span><\/li>\n
                            4. <\/b> null()<\/span><\/li>\n<\/ol>\n

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

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

                              The <\/span>coalesce()<\/span> function returns the first value in its argument list that is not null. It is useful for providing fallback values when a preferred field may be missing. For example, <\/span>coalesce(department, default_department)<\/span> can use <\/span>department<\/span> when it exists and otherwise use <\/span>default_department<\/span>. <\/span>isnull()<\/span> and <\/span>isnotnull()<\/span> test whether values are null, while <\/span>null()<\/span> is used to generate a null value. <\/span>coalesce()<\/span> is especially useful when normalizing data from multiple sources where the same logical information may appear under different fields or may be absent in some events.<\/span><\/p>\n

                              Question 315. An analyst wants to identify events where the <\/b>error_code<\/b> field does not contain a value. Which expression can be used in a <\/b>where<\/b> clause?<\/b><\/p>\n

                                \n
                              1. <\/b> where isnotnull(error_code)<\/span><\/li>\n
                              2. <\/b> where error_code=*<\/span><\/li>\n
                              3. <\/b> where isnull(error_code)<\/span><\/li>\n
                              4. <\/b> where error_code!=*<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 3. <\/b>where isnull(error_code)<\/b><\/p>\n

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

                                The <\/span>isnull()<\/span> function evaluates whether a field has a null value. Therefore, <\/span>where isnull(error_code)<\/span> filters the results to events where <\/span>error_code<\/span> is null or unavailable. <\/span>isnotnull()<\/span> performs the opposite test. The expression <\/span>error_code=*<\/span> is commonly used in search syntax to identify events where a field exists, rather than testing specifically for null values. A comparison such as <\/span>error_code!=*<\/span> should not be used as a substitute for an explicit null test. Using <\/span>isnull()<\/span> makes the intent of the condition clear and is appropriate for null-value evaluation inside <\/span>where<\/span>.<\/span><\/p>\n

                                Question 316. A JSON field contains nested data, and the analyst needs to extract the value at the path <\/b>user.profile.email<\/b>. Which command is specifically designed to navigate JSON paths?<\/b><\/p>\n

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

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

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

                                  The <\/span>spath<\/span> command is designed to extract data from structured formats such as JSON by navigating paths through nested objects and arrays. A path such as <\/span>user.profile.email<\/span> identifies the nested location of the desired value. <\/span>rex<\/span> can extract text using regular expressions but does not inherently understand JSON structure. <\/span>replace<\/span> changes string values, while <\/span>makemv<\/span> converts a single-value field into a multivalue field based on delimiters. For structured JSON extraction, <\/span>spath<\/span> provides a purpose-built mechanism that is generally clearer and more reliable than manually constructing regular expressions.<\/span><\/p>\n

                                  Question 317. An analyst needs to create a temporary result containing a single row before performing calculations with <\/b>eval<\/b>. Which SPL command can generate events without searching indexed data?<\/b><\/p>\n

                                    \n
                                  1. <\/b> metadata<\/span><\/li>\n
                                  2. <\/b> makeresults<\/span><\/li>\n
                                  3. <\/b> inputlookup<\/span><\/li>\n
                                  4. <\/b> fieldsummary<\/span><\/li>\n<\/ol>\n

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

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

                                    The <\/span>makeresults<\/span> command generates a small set of synthetic events without requiring indexed event data. It is useful for testing SPL expressions, creating calculated values, demonstrating functions, and building searches that begin with a controlled result. <\/span>metadata<\/span> provides metadata about indexed data, <\/span>inputlookup<\/span> reads records from a lookup file, and <\/span>fieldsummary<\/span> summarizes field characteristics. Because the requirement is to create a temporary result from which calculations can be performed, <\/span>makeresults<\/span> is the appropriate command. It is commonly used when validating SPL syntax or constructing examples involving <\/span>eval<\/span> and time functions.<\/span><\/p>\n

                                    Question 318. A search needs to inspect the earliest and latest timestamps available in the current result set for each user. Which statistical functions should be used?<\/b><\/p>\n

                                      \n
                                    1. <\/b> min(_time)<\/span> and <\/span>max(_time)<\/span><\/li>\n
                                    2. <\/b> first(_time)<\/span> and <\/span>last(_time)<\/span><\/li>\n
                                    3. <\/b> earliest(_time)<\/span> and <\/span>latest(_time)<\/span><\/li>\n
                                    4. <\/b> start(_time)<\/span> and <\/span>end(_time)<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 3. <\/b>earliest(_time)<\/b> and <\/b>latest(_time)<\/b><\/p>\n

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

                                      The <\/span>earliest()<\/span> and <\/span>latest()<\/span> statistical functions return the earliest and latest values of a field within the relevant result group. When applied to <\/span>_time<\/span>, they can identify the first and most recent timestamps associated with each user or other grouping field. <\/span>min()<\/span> and <\/span>max()<\/span> can also operate on numeric values, but the <\/span>earliest()<\/span> and <\/span>latest()<\/span> functions explicitly express the intended chronological operation. <\/span>first()<\/span> and <\/span>last()<\/span> depend on the order of the input results and therefore have different semantics. The appropriate choice depends on whether the requirement is chronological extremum or result-order position.<\/span><\/p>\n

                                      Question 319. An analyst wants to create a time-series visualization showing the number of events in five-minute intervals. Which SPL command is designed for this task?<\/b><\/p>\n

                                        \n
                                      1. <\/b> bucket<\/span><\/li>\n
                                      2. <\/b> timechart<\/span><\/li>\n
                                      3. <\/b> chart<\/span><\/li>\n
                                      4. <\/b> xyseries<\/span><\/li>\n<\/ol>\n

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

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

                                        The <\/span>timechart<\/span> command is designed specifically for generating time-series statistical results. Using <\/span>timechart span=5m count<\/span> groups event counts into five-minute time intervals and produces results suitable for visualization. <\/span>bucket<\/span> can place timestamps into time buckets but does not itself generate a statistical time-series table. <\/span>chart<\/span> creates general-purpose statistical tables, while <\/span>xyseries<\/span> transforms existing results into a chart-oriented structure. When the requirement is to analyze or visualize event counts across regular time intervals, <\/span>timechart<\/span> is the most direct SPL command.<\/span><\/p>\n

                                        Question 320. A search needs to divide events into five-minute time buckets by modifying the <\/b>_time<\/b> field before performing further statistical processing. Which command should be used?<\/b><\/p>\n

                                          \n
                                        1. <\/b> timechart span=5m count<\/span><\/li>\n
                                        2. <\/b> bin _time span=5m<\/span><\/li>\n
                                        3. <\/b> bucket _time span=5m<\/span><\/li>\n
                                        4. <\/b> stats count span=5m<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 3. <\/b>bucket _time span=5m<\/b><\/p>\n

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

                                          The <\/span>bucket<\/span> command rounds numeric or time values into discrete ranges. Using <\/span>bucket _time span=5m<\/span> places event timestamps into five-minute buckets while retaining the events for subsequent processing. <\/span>timechart span=5m count<\/span> also creates five-minute time intervals, but it directly produces a time-series statistical result rather than simply modifying the <\/span>_time<\/span> values for later commands. <\/span>stats count span=5m<\/span> is not the appropriate syntax for time bucketing. When the analyst needs to bucket <\/span>_time<\/span> first and then continue processing the individual events, <\/span>bucket<\/span> is the appropriate choice.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-5002 Exam Dumps and Practice Test Dumps   Question 301. An analyst needs to combine two searches so that the results from the second search are added below the results from the first search. Which command should be used? append appendcols appendpipe join Correct Answer: 1. append Explanation :- The append command […]<\/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\/21699"}],"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=21699"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21699\/revisions"}],"predecessor-version":[{"id":21700,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/21699\/revisions\/21700"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=21699"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=21699"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=21699"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}