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Databricks Certification Databricks Certified Associate Developer for Apache Spark 3.0 Exam

Databricks Certified Associate Developer for Apache Spark 3.0 Exam

Last Update Apr 26, 2024
Total Questions : 180

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Questions 4

Which of the following code blocks selects all rows from DataFrame transactionsDf in which column productId is zero or smaller or equal to 3?

Options:

A.  

transactionsDf.filter(productId==3 or productId<1)

B.  

transactionsDf.filter((col("productId")==3) or (col("productId")<1))

C.  

transactionsDf.filter(col("productId")==3 | col("productId")<1)

D.  

transactionsDf.where("productId"=3).or("productId"<1))

E.  

transactionsDf.filter((col("productId")==3) | (col("productId")<1))

Discussion 0
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Questions 5

Which of the following code blocks returns a DataFrame that is an inner join of DataFrame itemsDf and DataFrame transactionsDf, on columns itemId and productId, respectively and in which every

itemId just appears once?

Options:

A.  

itemsDf.join(transactionsDf, "itemsDf.itemId==transactionsDf.productId").distinct("itemId")

B.  

itemsDf.join(transactionsDf, itemsDf.itemId==transactionsDf.productId).dropDuplicates(["itemId"])

C.  

itemsDf.join(transactionsDf, itemsDf.itemId==transactionsDf.productId).dropDuplicates("itemId")

D.  

itemsDf.join(transactionsDf, itemsDf.itemId==transactionsDf.productId, how="inner").distinct(["itemId"])

E.  

itemsDf.join(transactionsDf, "itemsDf.itemId==transactionsDf.productId", how="inner").dropDuplicates(["itemId"])

Discussion 0
Questions 6

Which of the following code blocks performs a join in which the small DataFrame transactionsDf is sent to all executors where it is joined with DataFrame itemsDf on columns storeId and itemId,

respectively?

Options:

A.  

itemsDf.join(transactionsDf, itemsDf.itemId == transactionsDf.storeId, "right_outer")

B.  

itemsDf.join(transactionsDf, itemsDf.itemId == transactionsDf.storeId, "broadcast")

C.  

itemsDf.merge(transactionsDf, "itemsDf.itemId == transactionsDf.storeId", "broadcast")

D.  

itemsDf.join(broadcast(transactionsDf), itemsDf.itemId == transactionsDf.storeId)

E.  

itemsDf.join(transactionsDf, broadcast(itemsDf.itemId == transactionsDf.storeId))

Discussion 0
Questions 7

The code block displayed below contains an error. The code block should combine data from DataFrames itemsDf and transactionsDf, showing all rows of DataFrame itemsDf that have a matching

value in column itemId with a value in column transactionsId of DataFrame transactionsDf. Find the error.

Code block:

itemsDf.join(itemsDf.itemId==transactionsDf.transactionId)

Options:

A.  

The join statement is incomplete.

B.  

The union method should be used instead of join.

C.  

The join method is inappropriate.

D.  

The merge method should be used instead of join.

E.  

The join expression is malformed.

Discussion 0
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