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CCA175 CCA Spark and Hadoop Developer Exam is now Stable and With Pass Result | Test Your Knowledge for Free

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CCA Spark and Hadoop Developer Exam

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Total Questions : 96

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Question # 11

Problem Scenario 86 : In Continuation of previous question, please accomplish following activities.

1. Select Maximum, minimum, average , Standard Deviation, and total quantity.

2. Select minimum and maximum price for each product code.

3. Select Maximum, minimum, average , Standard Deviation, and total quantity for each product code, hwoever make sure Average and Standard deviation will have maximum two decimal values.

4. Select all the product code and average price only where product count is more than or equal to 3.

5. Select maximum, minimum , average and total of all the products for each code. Also produce the same across all the products.

Options:

Discussion 0
Question # 12

Problem Scenario 73 : You have been given data in json format as below.

{"first_name":"Ankit", "last_name":"Jain"}

{"first_name":"Amir", "last_name":"Khan"}

{"first_name":"Rajesh", "last_name":"Khanna"}

{"first_name":"Priynka", "last_name":"Chopra"}

{"first_name":"Kareena", "last_name":"Kapoor"}

{"first_name":"Lokesh", "last_name":"Yadav"}

Do the following activity

1. create employee.json file locally.

2. Load this file on hdfs

3. Register this data as a temp table in Spark using Python.

4. Write select query and print this data.

5. Now save back this selected data in json format.

Options:

Discussion 0
Question # 13

Problem Scenario 38 : You have been given an RDD as below,

val rdd: RDD[Array[Byte]]

Now you have to save this RDD as a SequenceFile. And below is the code snippet.

import org.apache.hadoop.io.compress.GzipCodec

rdd.map(bytesArray => (

A.  

get(), new B(bytesArray))).saveAsSequenceFile('7output/path",classOt[GzipCodec])

What would be the correct replacement for A and B in above snippet.

Options:

Discussion 0
Question # 14

Problem Scenario 62 : You have been given below code snippet.

val a = sc.parallelize(List("dogM, "tiger", "lion", "cat", "panther", "eagle"), 2)

val b = a.map(x => (x.length, x))

operation1

Write a correct code snippet for operationl which will produce desired output, shown below. Array[(lnt, String)] = Array((3,xdogx), (5,xtigerx), (4,xlionx), (3,xcatx), (7,xpantherx), (5,xeaglex))

Options:

Discussion 0
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