CCA175 Exam Dumps : CCA Spark and Hadoop Developer Exam

Problem Scenario 55 : You have been given below code snippet.

val pairRDDI = sc.parallelize(List( ("cat",2), ("cat", 5), ("book", 4),("cat", 12))) val pairRDD2 = sc.parallelize(List( ("cat",2), ("cup", 5), ("mouse", 4),("cat", 12)))

operation1

Write a correct code snippet for operationl which will produce desired output, shown below.

Array[(String, (Option[lnt], Option[lnt]))] = Array((book,(Some(4},None)), (mouse,(None,Some(4))), (cup,(None,Some(5))), (cat,(Some(2),Some(2)), (cat,(Some(2),Some(12))), (cat,(Some(5),Some(2))), (cat,(Some(5),Some(12))), (cat,(Some(12),Some(2))), (cat,(Some(12),Some(12)))J

Problem Scenario 45 : You have been given 2 files , with the content as given Below

(spark12/technology.txt)

(spark12/salary.txt)

(spark12/technology.txt)

first,last,technology

Amit,Jain,java

Lokesh,kumar,unix

Mithun,kale,spark

Rajni,vekat,hadoop

Rahul,Yadav,scala

(spark12/salary.txt)

first,last,salary

Amit,Jain,100000

Lokesh,kumar,95000

Mithun,kale,150000

Rajni,vekat,154000

Rahul,Yadav,120000

Write a Spark program, which will join the data based on first and last name and save the joined results in following format, first Last.technology.salary

Problem Scenario 59 : You have been given below code snippet.

val x = sc.parallelize(1 to 20)

val y = sc.parallelize(10 to 30) operationl

z.collect

Write a correct code snippet for operationl which will produce desired output, shown below. Array[lnt] = Array(16,12, 20,13,17,14,18,10,19,15,11)