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  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.0 Exam
  • Last Update: 04-Dec-2025
  • Questions and Answers: 180
  • Single Choice: 180 Q&A's

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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

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