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  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.0 Exam
  • Last Update: 13-Jun-2024
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Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Questions and Answers

Question # 1

Which of the following code blocks returns a new DataFrame with the same columns as DataFrame transactionsDf, except for columns predError and value which should be removed?

A.

transactionsDf.drop(["predError", "value"])

B.

transactionsDf.drop("predError", "value")

C.

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

D.

transactionsDf.drop(predError, value)

E.

transactionsDf.drop("predError & value")

Question # 2

Which of the following code blocks returns all unique values across all values in columns value and productId in DataFrame transactionsDf in a one-column DataFrame?

A.

tranactionsDf.select('value').join(transactionsDf.select('productId'), col('value')==col('productId'), 'outer')

B.

transactionsDf.select(col('value'), col('productId')).agg({'*': 'count'})

C.

transactionsDf.select('value', 'productId').distinct()

D.

transactionsDf.select('value').union(transactionsDf.select('productId')).distinct()

E.

transactionsDf.agg({'value': 'collect_set', 'productId': 'collect_set'})

Question # 3

The code block shown below should convert up to 5 rows in DataFrame transactionsDf that have the value 25 in column storeId into a Python list. Choose the answer that correctly fills the blanks in

the code block to accomplish this.

Code block:

transactionsDf.__1__(__2__).__3__(__4__)

A.

1. filter

2. "storeId"==25

3. collect

4. 5

B.

1. filter

2. col("storeId")==25

3. toLocalIterator

4. 5

C.

1. select

2. storeId==25

3. head

4. 5

D.

1. filter

2. col("storeId")==25

3. take

4. 5

E.

1. filter

2. col("storeId")==25

3. collect

4. 5

Question # 4

Which of the following code blocks efficiently converts DataFrame transactionsDf from 12 into 24 partitions?

A.

transactionsDf.repartition(24, boost=True)

B.

transactionsDf.repartition()

C.

transactionsDf.repartition("itemId", 24)

D.

transactionsDf.coalesce(24)

E.

transactionsDf.repartition(24)

Question # 5

The code block displayed below contains an error. The code block should return DataFrame transactionsDf, but with the column storeId renamed to storeNumber. Find the error.

Code block:

transactionsDf.withColumn("storeNumber", "storeId")

A.

Instead of withColumn, the withColumnRenamed method should be used.

B.

Arguments "storeNumber" and "storeId" each need to be wrapped in a col() operator.

C.

Argument "storeId" should be the first and argument "storeNumber" should be the second argument to the withColumn method.

D.

The withColumn operator should be replaced with the copyDataFrame operator.

E.

Instead of withColumn, the withColumnRenamed method should be used and argument "storeId" should be the first and argument "storeNumber" should be the second argument to that method.

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