Free Practice Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Exam Questions 2025

Stay ahead with 100% Free Databricks Certified Associate Developer for Apache Spark 3.0 Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Dumps Practice Questions

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Total 420 Questions | Updated On: Apr 24, 2025

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Question 1

Which of the following code blocks immediately removes the previously cached DataFrame transactionsDf from memory and disk?

A : array_remove(transactionsDf, "*")

B : transactionsDf.unpersist()

C : del transactionsDf

D : transactionsDf.clearCache()

E : transactionsDf.persist()

Answer: B

Question 2

If we want to create a constant integer 1 as a new column ‘new_column’ in a dataframe df, which code block we should select ?

A : df.withColumn(“new_column”, 1)

B : df.withColumn(new_column, lit(1))

C : df.withColumn”'new_column”, lit(“1”))

D : df.withColumnRenamed('new_column', lit(1))

E : df.withColumn(“new_column”, lit(1))

Answer: A

Question 3

Given that the number of partitions of dataframe df is 4 and we want to write a parquet file in a given path. Choose the correct number of files after a successful write operation.

A : 4

B : 1

C : 8

Answer: A

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)

Answer: A

Question 5

The code block shown below should return a column that indicates through boolean variables whether rows in DataFrame transactionsDf have values greater or equal to 20 and smaller or equal to 30 in column storeId and have the value 2 in column productId. Choose the answer that correctly fills the

blanks in the code block to accomplish this.

transactionsDf.__1__((__2__.__3__) __4__ (__5__))

A : 1. select 2. col("storeId") 3. between(20, 30) 4. and 5. col("productId")==2

B : 1. where2. col("storeId")3. geq(20).leq(30)4. &5. col("productId")==2

C : 1. select2. "storeId"3. between(20, 30)4. &&5. col("productId")==2

D : 1. select2. col("storeId")3. between(20, 30)4. &&5. col("productId")=2

E : 1. select2. col("storeId")3. between(20, 30)4. &5. col("productId")==2

Answer: D

Page: 1 / 84

Total 420 Questions | Updated On: Apr 24, 2025

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