CCA175 Exam Question 26

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Problem Scenario 41 : You have been given below code snippet.
val aul = sc.parallelize(List (("a" , Array(1,2)), ("b" , Array(1,2)))) val au2 = sc.parallelize(List (("a" , Array(3)), ("b" , Array(2))))
Apply the Spark method, which will generate below output.
Array[(String, Array[lnt])] = Array((a,Array(1, 2)), (b,Array(1, 2)), (a(Array(3)), (b,Array(2)))

CCA175 Exam Question 27

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Problem Scenario 57 : You have been given below code snippet.
val a = sc.parallelize(1 to 9, 3) operationl
Write a correct code snippet for operationl which will produce desired output, shown below.
Array[(String, Seq[lnt])] = Array((even,ArrayBuffer(2, 4, G, 8)), (odd,ArrayBuffer(1, 3, 5, 7,
9)))

CCA175 Exam Question 28

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Problem Scenario 22 : You have been given below comma separated employee information.
name,salary,sex,age
alok,100000,male,29
jatin,105000,male,32
yogesh,134000,male,39
ragini,112000,female,35
jyotsana,129000,female,39
valmiki,123000,male,29
Use the netcat service on port 44444, and nc above data line by line. Please do the following activities.
1. Create a flume conf file using fastest channel, which write data in hive warehouse directory, in a table called flumeemployee (Create hive table as well tor given data).
2. Write a hive query to read average salary of all employees.

CCA175 Exam Question 29

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Problem Scenario 36 : You have been given a file named spark8/data.csv (type,name).
data.csv
1 ,Lokesh
2 ,Bhupesh
2 ,Amit
2 ,Ratan
2 ,Dinesh
1 ,Pavan
1 ,Tejas
2 ,Sheela
1 ,Kumar
1 ,Venkat
1. Load this file from hdfs and save it back as (id, (all names of same type)) in results directory. However, make sure while saving it should be

CCA175 Exam Question 30

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Problem Scenario 4: You have been given MySQL DB with following details.
user=retail_dba
password=cloudera
database=retail_db
table=retail_db.categories
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Please accomplish following activities.
Import Single table categories (Subset data} to hive managed table , where category_id between 1 and 22