CCA175 무료 덤프문제 온라인 액세스
| 시험코드: | CCA175 |
| 시험이름: | CCA Spark and Hadoop Developer Exam |
| 인증사: | Cloudera |
| 무료 덤프 문항수: | 96 |
| 업로드 날짜: | 2026-10-07 |
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Problem Scenario 30 : You have been given three csv files in hdfs as below.
EmployeeName.csv with the field (id, name)
EmployeeManager.csv (id, manager Name)
EmployeeSalary.csv (id, Salary)
Using Spark and its API you have to generate a joined output as below and save as a text tile (Separated by comma) for final distribution and output must be sorted by id.
ld,name,salary,managerName
EmployeeManager.csv
E01,Vishnu
E02,Satyam
E03,Shiv
E04,Sundar
E05,John
E06,Pallavi
E07,Tanvir
E08,Shekhar
E09,Vinod
E10,Jitendra
EmployeeName.csv
E01,Lokesh
E02,Bhupesh
E03,Amit
E04,Ratan
E05,Dinesh
E06,Pavan
E07,Tejas
E08,Sheela
E09,Kumar
E10,Venkat
EmployeeSalary.csv
E01,50000
E02,50000
E03,45000
E04,45000
E05,50000
E06,45000
E07,50000
E08,10000
E09,10000
E10,10000
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Problem Scenario 53 : You have been given below code snippet.
val a = sc.parallelize(1 to 10, 3)
operation1
b.collect
Output 1
Array[lnt] = Array(2, 4, 6, 8,10)
operation2
Output 2
Array[lnt] = Array(1,2, 3)
Write a correct code snippet for operation1 and operation2 which will produce desired output, shown above.
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Problem Scenario 1:
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.
1 . Connect MySQL DB and check the content of the tables.
2 . Copy "retaildb.categories" table to hdfs, without specifying directory name.
3 . Copy "retaildb.categories" table to hdfs, in a directory name "categories_target".
4 . Copy "retaildb.categories" table to hdfs, in a warehouse directory name
"categories_warehouse".
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Problem Scenario 26 : You need to implement near real time solutions for collecting information when submitted in file with below information. You have been given below directory location (if not available than create it) /tmp/nrtcontent. Assume your departments upstream service is continuously committing data in this directory as a new file (not stream of data, because it is near real time solution). As soon as file committed in this directory that needs to be available in hdfs in /tmp/flume location
Data
echo "I am preparing for CCA175 from ABCTECH.com" > /tmp/nrtcontent/.he1.txt mv /tmp/nrtcontent/.he1.txt /tmp/nrtcontent/he1.txt
After few mins
echo "I am preparing for CCA175 from TopTech.com" > /tmp/nrtcontent/.qt1.txt mv /tmp/nrtcontent/.qt1.txt /tmp/nrtcontent/qt1.txt
Write a flume configuration file named flumes.conf and use it to load data in hdfs with following additional properties.
1 . Spool /tmp/nrtcontent
2 . File prefix in hdfs sholuld be events
3 . File suffix should be Jog
4 . If file is not commited and in use than it should have as prefix.
5 . Data should be written as text to hdfs
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Problem Scenario 13 : You have been given following mysql database details as well as other info.
user=retail_dba
password=cloudera
database=retail_db
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Please accomplish following.
1. Create a table in retailedb with following definition.
CREATE table departments_export (department_id int(11), department_name varchar(45), created_date T1MESTAMP DEFAULT NOWQ);
2. Now import the data from following directory into departments_export table,
/user/cloudera/departments new