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The code block shown below should return a DataFrame with two columns, itemId and col.

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The code block shown below should return a DataFrame with two columns, itemId and col. In this DataFrame, for each element in column attributes of DataFrame itemDf there should be a separate

row in which the column itemId contains the associated itemId from DataFrame itemsDf. The new DataFrame should only contain rows for rows in DataFrame itemsDf in which the column attributes

contains the element cozy.

A sample of DataFrame itemsDf is below.

Code block:

itemsDf.__1__(__2__).__3__(__4__, __5__(__6__))

A.

1. filter

2. array_contains("cozy")

3. select

4. "itemId"

5. explode

6. "attributes"

B.

1. where

2. "array_contains(attributes, 'cozy')"

3. select

4. itemId

5. explode

6. attributes

C.

1. filter

2. "array_contains(attributes, 'cozy')"

3. select

4. "itemId"

5. map

6. "attributes"

D.

1. filter

2. "array_contains(attributes, cozy)"

3. select

4. "itemId"

5. explode

6. "attributes"

E.

1. filter

2. "array_contains(attributes, 'cozy')"

3. select

4. "itemId"

5. explode

6. "attributes"

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