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Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Exam Dumps : Databricks Certified Associate Developer for Apache Spark 3.0 Exam

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Databricks Certified Associate Developer for Apache Spark 3.0 Exam Questions and Answers

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Question 1

Which of the following code blocks returns a DataFrame where columns predError and productId are removed from DataFrame transactionsDf?

Sample of DataFrame transactionsDf:

1.+-------------+---------+-----+-------+---------+----+

2.|transactionId|predError|value|storeId|productId|f |

3.+-------------+---------+-----+-------+---------+----+

4.|1 |3 |4 |25 |1 |null|

5.|2 |6 |7 |2 |2 |null|

6.|3 |3 |null |25 |3 |null|

7.+-------------+---------+-----+-------+---------+----+

Options:

A.

transactionsDf.withColumnRemoved("predError", "productId")

B.

transactionsDf.drop(["predError", "productId", "associateId"])

C.

transactionsDf.drop("predError", "productId", "associateId")

D.

transactionsDf.dropColumns("predError", "productId", "associateId")

E.

transactionsDf.drop(col("predError", "productId"))

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Question 2

Which of the following code blocks produces the following output, given DataFrame transactionsDf?

Output:

1.root

2. |-- transactionId: integer (nullable = true)

3. |-- predError: integer (nullable = true)

4. |-- value: integer (nullable = true)

5. |-- storeId: integer (nullable = true)

6. |-- productId: integer (nullable = true)

7. |-- f: integer (nullable = true)

DataFrame transactionsDf:

1.+-------------+---------+-----+-------+---------+----+

2.|transactionId|predError|value|storeId|productId| f|

3.+-------------+---------+-----+-------+---------+----+

4.| 1| 3| 4| 25| 1|null|

5.| 2| 6| 7| 2| 2|null|

6.| 3| 3| null| 25| 3|null|

7.+-------------+---------+-----+-------+---------+----+

Options:

A.

transactionsDf.schema.print()

B.

transactionsDf.rdd.printSchema()

C.

transactionsDf.rdd.formatSchema()

D.

transactionsDf.printSchema()

E.

print(transactionsDf.schema)

Question 3

The code block displayed below contains an error. The code block should produce a DataFrame with color as the only column and three rows with color values of red, blue, and green, respectively.

Find the error.

Code block:

1.spark.createDataFrame([("red",), ("blue",), ("green",)], "color")

Instead of calling spark.createDataFrame, just DataFrame should be called.

Options:

A.

The commas in the tuples with the colors should be eliminated.

B.

The colors red, blue, and green should be expressed as a simple Python list, and not a list of tuples.

C.

Instead of color, a data type should be specified.

D.

The "color" expression needs to be wrapped in brackets, so it reads ["color"].

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