{"id":18430,"date":"2026-09-22T07:16:41","date_gmt":"2026-09-22T07:16:41","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=18430"},"modified":"2026-09-22T07:16:41","modified_gmt":"2026-09-22T07:16:41","slug":"splunk-splk-1001-practice-test-questions-and-exam-dumps-part-13-q241-260","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/splunk-splk-1001-practice-test-questions-and-exam-dumps-part-13-q241-260\/","title":{"rendered":"Splunk SPLK-1001 Practice Test Questions and Exam Dumps Part 13 Q241-260"},"content":{"rendered":"

View Full<\/b> Splunk SPLK-1001 Exam Dumps<\/b><\/a> and Practice Test Dumps<\/b><\/p>\n

 <\/p>\n

Question: 241. Which Splunk search mode provides the most complete event information and field discovery?<\/b><\/p>\n

    \n
  1. <\/b> Fast mode<\/span>
    \n<\/span>2.<\/b> Smart mode<\/span>
    \n<\/span>3.<\/b> Verbose mode<\/span>
    \n<\/span>4.<\/b> Scheduled mode<\/span><\/li>\n<\/ol>\n

    Correct Answer:<\/b> 3. <\/span>Verbose mode<\/span><\/p>\n

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

    Verbose mode is designed to provide the most complete information about events and to support detailed field discovery. It is particularly useful when an analyst is exploring unfamiliar data and wants Splunk to identify as many fields as possible. Because this mode processes more information, it can require more resources and may be slower than other search modes. Fast mode prioritizes search performance and returns less field information, while Smart mode changes behavior depending on the search and interface context. Scheduled mode is not one of Splunk’s standard search modes. Understanding search modes helps analysts choose an appropriate balance between detailed field discovery and search performance.<\/span><\/p>\n

    Question: 242. What is the primary purpose of Smart Mode in a Splunk search?<\/b><\/p>\n

      \n
    1. <\/b> To automatically delete old events<\/span>
      \n<\/span>2.<\/b> To balance search performance with the information returned<\/span>
      \n<\/span>3.<\/b> To convert events into lookup files<\/span>
      \n<\/span>4.<\/b> To disable field extraction<\/span><\/li>\n<\/ol>\n

      Correct Answer:<\/b> 2. <\/span>To balance search performance with the information returned<\/span><\/p>\n

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

      Smart Mode is intended to provide a balance between search performance and the amount of event and field information returned. Its behavior can vary depending on whether the search contains transforming commands. For searches that transform data, Splunk can prioritize performance, while non-transforming searches can provide more event and field information. This makes Smart Mode a practical general-purpose setting for many searches. Verbose mode emphasizes detailed field discovery, while Fast mode prioritizes performance and reduced processing. Smart Mode does not delete events, create lookup files, or disable field extraction. Its purpose is to provide an appropriate compromise between detail and efficiency.<\/span><\/p>\n

      Question: 243. Which Splunk search mode generally prioritizes performance over detailed field discovery?<\/b><\/p>\n

        \n
      1. <\/b> Fast mode<\/span>
        \n<\/span>2.<\/b> Verbose mode<\/span>
        \n<\/span>3.<\/b> Smart mode<\/span>
        \n<\/span>4.<\/b> Transaction mode<\/span><\/li>\n<\/ol>\n

        Correct Answer:<\/b> 1. <\/span>Fast mode<\/span><\/p>\n

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

        Fast mode prioritizes search performance by limiting the amount of field information and processing performed during the search. It can be useful when an analyst already understands the data structure and mainly wants the search to complete efficiently. Because less field discovery is performed, Fast mode may not provide the same level of automatically discovered fields as Verbose mode. Verbose mode is intended for more detailed event and field information, while Smart mode attempts to balance performance and information depending on the search. Transaction mode is not a standard Splunk search mode. Selecting the appropriate search mode can affect both search speed and the amount of information available for analysis.<\/span><\/p>\n

        Question: 244. What does the <\/b>AS<\/b> keyword commonly do when used with a Splunk aggregation function?<\/b><\/p>\n

          \n
        1. <\/b> Deletes the aggregation result<\/span>
          \n<\/span>2.<\/b> Assigns an alias to the resulting field<\/span>
          \n<\/span>3.<\/b> Filters events before aggregation<\/span>
          \n<\/span>4.<\/b> Changes the event timestamp<\/span><\/li>\n<\/ol>\n

          Correct Answer:<\/b> 2. <\/span>Assigns an alias to the resulting field<\/span><\/p>\n

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

          The <\/span>AS<\/span> keyword can assign an alias to the field produced by an expression or aggregation. For example, <\/span>stats count AS total_events<\/span> creates a result field named <\/span>total_events<\/span> instead of leaving the generated field with its default name. This can make search results easier to understand and can also make later commands easier to write because the resulting field has a meaningful name. <\/span>AS<\/span> does not delete results, filter events, or change timestamps. Filtering is commonly handled by search criteria or commands such as <\/span>where<\/span>, while timestamp transformations use time-related functions. Aliasing is therefore primarily a way to provide a clearer name for a calculated result.<\/span><\/p>\n

          Question: 245. Which command can evaluate an expression and create a new field or modify an existing field?<\/b><\/p>\n

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

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

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

            The <\/span>eval<\/span> command evaluates expressions and can create new fields or modify existing field values. It supports calculations, string operations, conditional logic, conversions, and many other functions. For example, <\/span>eval total=price*quantity<\/span> can create a new field called <\/span>total<\/span> based on two existing fields. <\/span>eval<\/span> can also be used with functions such as <\/span>if<\/span>, <\/span>case<\/span>, <\/span>lower<\/span>, and <\/span>strftime<\/span>. The <\/span>fields<\/span> command controls which fields are retained, <\/span>head<\/span> limits the number of results, and <\/span>table<\/span> formats selected fields for display. Therefore, when the requirement involves calculating or transforming a field value, <\/span>eval<\/span> is generally the appropriate command.<\/span><\/p>\n

            Question: 246. Which function can return one value when a condition is true and another value when it is false?<\/b><\/p>\n

              \n
            1. <\/b> case<\/span>
              \n<\/span>2.<\/b> if<\/span>
              \n<\/span>3.<\/b> coalesce<\/span>
              \n<\/span>4.<\/b> isnull<\/span><\/li>\n<\/ol>\n

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

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

              The <\/span>if<\/span> function evaluates a condition and returns one value when the condition is true and another value when it is false. It is useful for creating conditional fields with two possible outcomes. For example, <\/span>eval status=if(count>100,”High”,”Normal”)<\/span> can classify a count into two categories. When more complex logic requires several conditions and multiple possible outcomes, the <\/span>case<\/span> function is often more suitable. <\/span>coalesce<\/span> selects the first non-null value from several expressions, while <\/span>isnull<\/span> checks whether a value is null. Therefore, <\/span>if<\/span> is particularly appropriate when the desired logic has a simple true-or-false structure.<\/span><\/p>\n

              Question: 247. Which command is commonly used to filter events after a field calculation or transformation?<\/b><\/p>\n

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

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

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

                The <\/span>where<\/span> command evaluates an expression and keeps only the results for which that expression is true. It is particularly useful when filtering based on calculated fields or comparisons between fields. For example, after creating a calculated field with <\/span>eval<\/span>, a search can use <\/span>where total > 100<\/span> to retain only results meeting that condition. The <\/span>search<\/span> command can also filter results, but <\/span>where<\/span> is especially useful for evaluating expressions involving fields. <\/span>table<\/span> formats fields, <\/span>stats<\/span> performs aggregation, and <\/span>rename<\/span> changes field names. Therefore, <\/span>where<\/span> is an important command for applying logical conditions to search results after fields have been created or transformed.<\/span><\/p>\n

                Question: 248. What is the purpose of the <\/b>fields<\/b> command’s minus syntax, such as <\/b>fields – fieldname<\/b>?<\/b><\/p>\n

                  \n
                1. <\/b> To exclude the specified field from the results<\/span>
                  \n<\/span>2.<\/b> To rename the specified field<\/span>
                  \n<\/span>3.<\/b> To calculate a negative value<\/span>
                  \n<\/span>4.<\/b> To search only deleted events<\/span><\/li>\n<\/ol>\n

                  Correct Answer:<\/b> 1. <\/span>To exclude the specified field from the results<\/span><\/p>\n

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

                  Using a minus sign with the <\/span>fields<\/span> command excludes the specified field from the search results. For example, <\/span>fields – password<\/span> tells Splunk to remove the <\/span>password<\/span> field from the fields being carried forward. This can be useful when an analyst wants to reduce unnecessary data or prevent certain fields from appearing in later results. The minus syntax does not calculate a negative value and does not rename fields. It simply controls field retention. This is one of the important distinctions between selecting fields with <\/span>fields field1 field2<\/span> and excluding fields with syntax such as <\/span>fields – fieldname<\/span>.<\/span><\/p>\n

                  Question: 249. Which command is commonly used to display selected fields as columns in the final search results?<\/b><\/p>\n

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

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

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

                    The <\/span>table<\/span> command creates a tabular presentation containing the fields specified by the search. It is commonly used near the end of a search when an analyst wants the output to display only selected columns in a defined order. For example, <\/span>table host, user, status<\/span> produces a result table containing those fields. The <\/span>fields<\/span> command also controls field availability, but it is commonly used to include or exclude fields during processing rather than primarily formatting the final output. <\/span>rename<\/span> changes field names, while <\/span>sort<\/span> orders results. Therefore, <\/span>table<\/span> is especially useful when the goal is to present selected fields as a clean final table.<\/span><\/p>\n

                    Question: 250. Which command can limit search results to a specified number of events after sorting?<\/b><\/p>\n

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

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

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

                      The <\/span>head<\/span> command can limit the search results to a specified number of events from the beginning of the current result set. When used after <\/span>sort<\/span>, it is particularly useful for selecting the highest or lowest entries depending on the sort direction. For example, sorting a count field in descending order and then using <\/span>head 10<\/span> can return the ten highest results. <\/span>tail<\/span> instead takes results from the end of the set, <\/span>dedup<\/span> removes duplicates, and <\/span>rare<\/span> identifies infrequently occurring values. Therefore, <\/span>head<\/span> is a useful command for reducing an ordered result set to a manageable number of top or first results.<\/span><\/p>\n

                      Question: 251. Which command identifies values that occur frequently and provides statistics about their occurrence?<\/b><\/p>\n

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

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

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

                        The <\/span>top<\/span> command identifies the most frequently occurring values of one or more fields and provides statistical information about those values. The results can include counts and percentages, making the command useful for quickly identifying common categories, users, hosts, or other field values. For example, <\/span>top user<\/span> can show which users appear most frequently in the selected events. The <\/span>rare<\/span> command focuses on the least frequently occurring values, while <\/span>head<\/span> limits the number of existing results and <\/span>dedup<\/span> removes duplicate values. Therefore, <\/span>top<\/span> is particularly useful when the goal is to identify the most common values within search results.<\/span><\/p>\n

                        Question: 252. Which command identifies values that occur least frequently in the search results?<\/b><\/p>\n

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

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

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

                          The <\/span>rare<\/span> command identifies values that occur least frequently in the search results. It is useful when an analyst wants to find unusual or uncommon values for a field. For example, <\/span>rare user<\/span> can help identify users with relatively few occurrences within the selected data. This can be useful during exploratory analysis when unusual values deserve additional investigation. The <\/span>top<\/span> command performs the opposite general task by identifying frequent values. <\/span>sort<\/span> changes the order of existing results, while <\/span>stats<\/span> performs general statistical calculations. Therefore, <\/span>rare<\/span> is the appropriate command when the objective is to identify low-frequency field values.<\/span><\/p>\n

                          Question: 253. Which command can split search results into groups based on a field and calculate a count for each group?<\/b><\/p>\n

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

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

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

                            The <\/span>stats<\/span> command can group search results by a field and calculate statistical values for each group. For example, <\/span>stats count BY host<\/span> produces a count of events for each distinct host value. This makes <\/span>stats<\/span> one of the most important commands for summarizing large amounts of event data. Additional functions such as <\/span>sum<\/span>, <\/span>avg<\/span>, <\/span>min<\/span>, and <\/span>max<\/span> can also be used. <\/span>fields<\/span> controls which fields are retained, <\/span>rename<\/span> changes field names, and <\/span>rex<\/span> extracts values using regular expressions. Because the requirement is to calculate a count for each group, <\/span>stats<\/span> with a <\/span>BY<\/span> clause is the appropriate solution.<\/span><\/p>\n

                            Question: 254. What does the <\/b>BY<\/b> clause commonly specify in a Splunk statistical command?<\/b><\/p>\n

                              \n
                            1. <\/b> The fields by which results should be grouped<\/span>
                              \n<\/span>2.<\/b> The index where results should be saved<\/span>
                              \n<\/span>3.<\/b> The number of events to delete<\/span>
                              \n<\/span>4.<\/b> The time zone for the search<\/span><\/li>\n<\/ol>\n

                              Correct Answer:<\/b> 1. <\/span>The fields by which results should be grouped<\/span><\/p>\n

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

                              The <\/span>BY<\/span> clause in statistical commands such as <\/span>stats<\/span> specifies the field or fields by which the results should be grouped. For example, <\/span>stats count BY host<\/span> calculates a separate count for each distinct host. Similarly, <\/span>stats avg(duration) BY user<\/span> can calculate an average duration for each user. Grouping allows a large collection of events to be summarized according to meaningful categories. The <\/span>BY<\/span> clause does not specify an index, delete events, or directly define a time zone. Those concerns are handled by other search settings and commands. Understanding grouping with <\/span>BY<\/span> is fundamental to producing useful statistical summaries in Splunk.<\/span><\/p>\n

                              Question: 255. Which command can create a field containing a calculated value based on existing fields?<\/b><\/p>\n

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

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

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

                                The <\/span>eval<\/span> command can create a new field whose value is calculated from existing fields or expressions. For example, <\/span>eval total=quantity*price<\/span> creates a <\/span>total<\/span> field by multiplying two existing values. This makes <\/span>eval<\/span> useful for calculations, transformations, conditional classification, and field manipulation. It can also use many Splunk functions within the expression. <\/span>dedup<\/span> removes duplicate results, <\/span>table<\/span> controls final field presentation, and <\/span>head<\/span> limits the number of results. Because the requirement is to create a calculated field, <\/span>eval<\/span> is the appropriate command. The newly created field can then be used by later commands in the same search pipeline.<\/span><\/p>\n

                                Question: 256. Which command can convert a string containing multiple delimiter-separated values into a multivalue field?<\/b><\/p>\n

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

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

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

                                  The <\/span>makemv<\/span> command can convert a field containing multiple delimiter-separated values into a multivalue field. This is useful when data arrives as a single string but the individual values need to be processed separately. For example, a field containing <\/span>red,blue,green<\/span> can be converted into multiple values using an appropriate delimiter configuration. Once a field is multivalue, commands and functions such as <\/span>mvcount<\/span>, <\/span>mvindex<\/span>, and <\/span>mvexpand<\/span> can be used to work with its contents. <\/span>mvexpand<\/span> expands existing multivalue values into separate results, while <\/span>mvcount<\/span> counts them and <\/span>mvindex<\/span> retrieves particular values. Therefore, <\/span>makemv<\/span> is used to create multivalue structure from suitable string data.<\/span><\/p>\n

                                  Question: 257. Which command can combine related events into a single transaction based on a common field?<\/b><\/p>\n

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

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

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

                                    The <\/span>transaction<\/span> command can group related events into a single transaction based on a common field or other transaction criteria. For example, events associated with the same session identifier can potentially be grouped into one transaction so the analyst can examine the complete sequence as a unit. Transaction searches can also use constraints such as time limits and start or end conditions. This differs from <\/span>append<\/span>, which combines result sets, and <\/span>lookup<\/span>, which enriches events with reference information. <\/span>eventstats<\/span> calculates statistics and adds them to events. Transactions are therefore specifically concerned with grouping related events into logical units for analysis.<\/span><\/p>\n

                                    Question: 258. Which Splunk metadata field identifies the original source from which an event was collected?<\/b><\/p>\n

                                      \n
                                    1. <\/b> host<\/span>
                                      \n<\/span>2.<\/b> source<\/span>
                                      \n<\/span>3.<\/b> sourcetype<\/span>
                                      \n<\/span>4.<\/b> index<\/span><\/li>\n<\/ol>\n

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

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

                                      The <\/span>source<\/span> field identifies the source from which an event originated. Depending on the input, this may represent a file path, network input, or another source identifier. It is one of Splunk’s important default metadata fields and can be used to narrow searches to events coming from a particular source. The <\/span>host<\/span> field identifies the host associated with the event, while <\/span>sourcetype<\/span> describes the type or format of the data. The <\/span>index<\/span> identifies the repository in which the event is stored. Distinguishing these metadata fields helps analysts construct more precise searches and understand where their event data originated.<\/span><\/p>\n

                                      Question: 259. Which Splunk metadata field identifies the host associated with an event?<\/b><\/p>\n

                                        \n
                                      1. <\/b> source<\/span>
                                        \n<\/span>2.<\/b> index<\/span>
                                        \n<\/span>3.<\/b> host<\/span>
                                        \n<\/span>4.<\/b> sourcetype<\/span><\/li>\n<\/ol>\n

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

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

                                        The <\/span>host<\/span> field identifies the host associated with an event. It is commonly used when analysts need to restrict a search to data originating from a particular machine or system. For example, <\/span>host=webserver01<\/span> can limit the search to events associated with that host, assuming the relevant metadata is available. The <\/span>source<\/span> field identifies the input source, such as a file or network source, while <\/span>sourcetype<\/span> identifies the type of event data. The <\/span>index<\/span> identifies where the event is stored. These metadata fields can be combined in a search to narrow the results effectively and identify the origin and classification of events.<\/span><\/p>\n

                                        Question: 260. Which statement correctly describes the Splunk pipe character <\/b>|<\/b> in an SPL search?<\/b><\/p>\n

                                          \n
                                        1. <\/b> It permanently stores the search results<\/span>
                                          \n<\/span>2.<\/b> It separates commands and passes the preceding command’s results to the next command<\/span>
                                          \n<\/span>3.<\/b> It specifies the index being searched<\/span>
                                          \n<\/span>4.<\/b> It changes the event timestamp<\/span><\/li>\n<\/ol>\n

                                          Correct Answer:<\/b> 2. <\/span>It separates commands and passes the preceding command’s results to the next command<\/span><\/p>\n

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

                                          The pipe character <\/span>|<\/span> is fundamental to Splunk Search Processing Language because it connects commands in a search pipeline. The results produced by the command or search on the left side of the pipe are passed to the command on the right for further processing. For example, a search can retrieve events and then use <\/span>| stats count BY host<\/span> to summarize those events. This pipeline structure allows analysts to progressively filter, transform, aggregate, and format search results. The pipe does not specify an index, permanently store results, or change timestamps by itself. Instead, it defines how successive SPL operations are connected.<\/span><\/p>\n

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

                                          View Full Splunk SPLK-1001 Exam Dumps and Practice Test Dumps   Question: 241. Which Splunk search mode provides the most complete event information and field discovery? Fast mode 2. Smart mode 3. Verbose mode 4. Scheduled mode Correct Answer: 3. Verbose mode Explanation: Verbose mode is designed to provide the most complete information about events […]<\/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\/18430"}],"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=18430"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/18430\/revisions"}],"predecessor-version":[{"id":18431,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/18430\/revisions\/18431"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=18430"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=18430"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=18430"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}