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A data engineer is working on the DataFrame df1 and wants the Name with the highest count to appear first (descending order by count), followed by the next highest, and so on.

The DataFrame has columns:

id | Name | count | timestamp

---------------------------------

1 | USA | 10

2 | India | 20

3 | England | 50

4 | India | 50

5 | France | 20

6 | India | 10

7 | USA | 30

8 | USA | 40

Which code fragment should the engineer use to sort the data in the Name and count columns?

A.

df1.orderBy(col("count").desc(), col("Name").asc())

B.

df1.sort("Name", "count")

C.

df1.orderBy("Name", "count")

D.

df1.orderBy(col("Name").desc(), col("count").asc())

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