Cloudera CCA Spark and Hadoop Developer Exam CCA175 Dumps in PDF

Problem Scenario 51 : You have been given below code snippet.
val a = sc.parallelize(List(1, 2, 1, 3), 1)
val b = a.map((_, "b"))
val c = a.map((_, "c"))
Operation_xyz
Write a correct code snippet for Operationxyz which will produce below output.
Output:
Array[(lnt, (lterable[String], lterable[String]))] = Array(
(2, (ArrayBuffer(b), ArrayBuffer(c))),
(3, (ArrayBuffer(b), ArrayBuffer(c))),
(1, (ArrayBuffer(b, b), ArrayBuffer(c, c)))
)

Problem Scenario 24 : You have been given below comma separated employee information.
Data Set:
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
Requirements:
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 flumemaleemployee (Create hive table as well tor given data).
2. While importing, make sure only male employee data is stored.

Problem Scenario 27 : You need to implement near real time solutions for collecting information when submitted in file with below information.
Data
echo "IBM, 100, 20160104" >> /tmp/spooldir/bb/.bb.txt
echo "IBM, 103, 20160105" >> /tmp/spooldir/bb/.bb.txt
mv /tmp/spooldir/bb/.bb.txt /tmp/spooldir/bb/bb.txt
After few mins
echo "IBM, 100.2, 20160104" >> /tmp/spooldir/dr/.dr.txt
echo "IBM, 103.1, 20160105" >> /tmp/spooldir/dr/.dr.txt
mv /tmp/spooldir/dr/.dr.txt /tmp/spooldir/dr/dr.txt
Requirements:
You have been given below directory location (if not available than create it) /tmp/spooldir . You have a finacial subscription for getting stock prices from BloomBerg as well as
Reuters and using ftp you download every hour new files from their respective ftp site in directories /tmp/spooldir/bb and /tmp/spooldir/dr respectively.
As soon as file committed in this directory that needs to be available in hdfs in /tmp/flume/finance location in a single directory.
Write a flume configuration file named flume7.conf and use it to load data in hdfs with following additional properties .

1. Spool /tmp/spooldir/bb and /tmp/spooldir/dr
2. File prefix in hdfs sholuld be events
3. File suffix should be .log
4. If file is not commited and in use than it should have _ as prefix.
5. Data should be written as text to hdfs

Problem Scenario 60 : You have been given below code snippet.
val a = sc.parallelize(List("dog", "salmon", "salmon", "rat", "elephant"}, 3}
val b = a.keyBy(_.length)
val c = sc.parallelize(List("dog", "cat", "gnu", "salmon", "rabbit", "turkey", "woif", "bear", "bee"), 3)
val d = c.keyBy(_.length)
operation1
Write a correct code snippet for operationl which will produce desired output, shown below.
Array[(lnt, (String, String))] = Array((6, (salmon, salmon)), (6, (salmon, rabbit)), (6, (salmon, turkey)), (6, (salmon, salmon)), (6, (salmon, rabbit)),
(6, (salmon, turkey)), (3, (dog, dog)), (3, (dog, cat)), (3, (dog, gnu)), (3, (dog, bee)), (3, (rat, dog)), (3, (rat, cat)), (3, (rat, gnu)), (3, (rat, bee)))

Problem Scenario 90 : You have been given below two files
course.txt
id, course
1, Hadoop
2, Spark
3, HBase
fee.txt
id, fee
2, 3900
3, 4200
4, 2900
Accomplish the following activities.

1. Select all the courses and their fees , whether fee is listed or not.
2. Select all the available fees and respective course. If course does not exists still list the
fee
3. Select all the courses and their fees , whether fee is listed or not. However, ignore
records having fee as null.