您可以通过几种方法来执行此操作。

如果您有已知数量的问题/答案，则可以将其row_number()与聚合函数和CASE表达式一起使用：

select id,
  max(case when rn = 1 then question end) question1,
  max(case when rn = 1 then answer end) answer1,
  max(case when rn = 2 then question end) question2,
  max(case when rn = 2 then answer end) answer2,
  max(case when rn = 3 then question end) question3,
  max(case when rn = 3 then answer end) answer3
from
(
  select id, question, answer,
    row_number() over(partition by id order by id, question) rn
  from yt
) src
group by id;

参见带有演示的SQL Fiddle

另一个建议是同时使用UNPIVOT和PIVOT函数来获得结果。UNPIVOT将使用您的question和answer列，并将它们转换为多行。

UNPIVOT的基本语法为：

select id,
  col+cast(rn as varchar(10)) col,
  value
from
(
  -- when you perform an unpivot the datatypes have to be the same. 
  -- you might have to cast the datatypes in this query
  select id, question, cast(answer as varchar(500)) answer,
    row_number() over(partition by id order by id, question) rn
  from yt
) src
unpivot
(
  value
  for col in (question, answer)
) unpiv;

参见演示。结果如下：

|      ID |       COL |                                VALUE |
--------------------------------------------------------------
| 4482515 | question1 | I would like to be informed by mail. |
| 4482515 |   answer1 |                                   No |
| 4482515 | question2 |                    Plan to Purchase? |
| 4482515 |   answer2 |                       Over 12 months |
| 4482515 | question3 |                   Test Question Text |
| 4482515 |   answer3 |                          some Answer |

如您所见，我row_number()在初始子查询中添加了一个值，以便您可以将每个答案与该问题相关联。一旦取消透视，您就可以将结果与question/answer连为一体的行号值在新的列名称上进行透视。具有PIVOT语法的代码将是：

select id, question1, answer1, question2, answer2,
  question3, answer3
from
(
  select id,
    col+cast(rn as varchar(10)) col,
    value
  from
  (
  -- when you perform an unpivot the datatypes have to be the same. 
  -- you might have to cast the datatypes in this query
    select id, question, cast(answer as varchar(500)) answer,
      row_number() over(partition by id order by id, question) rn
    from yt
  ) src
  unpivot
  (
    value
    for col in (question, answer)
  ) unpiv
) d
pivot
(
  max(value)
  for col in (question1, answer1, question2, answer2,
              question3, answer3)
) piv;

请参阅带有演示的SQL
Fiddle。现在，根据您的情况，您表示将有数量众多的问题/答案。如果是这种情况，那么您将需要使用动态SQL来获取结果：

DECLARE @cols AS NVARCHAR(MAX),
    @query  AS NVARCHAR(MAX)

select @cols = STUFF((SELECT ',' + QUOTENAME(c.col+cast(rn as varchar(10))) 
                    from 
                    (
                      select row_number() over(partition by id 
                                               order by id, question) rn
                      from yt
                    ) d
                    cross apply
                    (
                      select 'question' col, 1 sort union all select 'answer', 2
                    ) c
                    group by col, rn, sort
                    order by rn, sort
            FOR XML PATH(''), TYPE
            ).value('.', 'NVARCHAR(MAX)') 
        ,1,1,'')

set @query = 'SELECT id, ' + @cols + '
              from
              (
                select id,
                  col+cast(rn as varchar(10)) col,
                  value
                from
                (
                 -- when you perform an unpivot the datatypes have to be the same. 
                 -- you might have to cast the datatypes in this query
                  select id, question, cast(answer as varchar(500)) answer,
                    row_number() over(partition by id order by id, question) rn
                  from yt
                ) src
                unpivot
                (
                  value
                  for col in (question, answer)
                ) unpiv
              ) d
              pivot 
              (
                  max(value)
                  for col in (' + @cols + ')
              ) p '

execute(@query);

请参阅带有演示的SQL Fiddle。这些给出了结果：

|      ID |                            QUESTION1 | ANSWER1 |         QUESTION2 |        ANSWER2 |          QUESTION3 |     ANSWER3 |
------------------------------------------------------------------------------------------------------------------------------------
| 4482515 | I would like to be informed by mail. |      No | Plan to Purchase? | Over 12 months | Test Question Text | some Answer |