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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 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)

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Question 2

Which of the following code blocks shuffles DataFrame transactionsDf, which has 8 partitions, so that it has 10 partitions?

Options:

A.

transactionsDf.repartition(transactionsDf.getNumPartitions()+2)

B.

transactionsDf.repartition(transactionsDf.rdd.getNumPartitions()+2)

C.

transactionsDf.coalesce(10)

D.

transactionsDf.coalesce(transactionsDf.getNumPartitions()+2)

E.

transactionsDf.repartition(transactionsDf._partitions+2)

Question 3

In which order should the code blocks shown below be run in order to create a table of all values in column attributes next to the respective values in column supplier in DataFrame itemsDf?

1. itemsDf.createOrReplaceView("itemsDf")

2. spark.sql("FROM itemsDf SELECT 'supplier', explode('Attributes')")

3. spark.sql("FROM itemsDf SELECT supplier, explode(attributes)")

4. itemsDf.createOrReplaceTempView("itemsDf")

Options:

A.

4, 3

B.

1, 3

C.

2

D.

4, 2

E.

1, 2

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