메뉴 건너뛰기

Bigdata, Semantic IoT, Hadoop, NoSQL

Bigdata, Hadoop ecosystem, Semantic IoT등의 프로젝트를 진행중에 습득한 내용을 정리하는 곳입니다.
필요한 분을 위해서 공개하고 있습니다. 문의사항은 gooper@gooper.com로 메일을 보내주세요.


*출처1 : https://www.cloudera.com/more/training/certification/cca-spark.html




*출처2 : http://www.hadoopexam.com/Cloudera_Certification/CCA175/CCA175_Cloudera_Hadoop_and_Spark_Developer_Tips_and_Tricks.pdf

1. Preparation: I have gone through all the CCA175 Questions and practice the code provided by
http://www.HadoopExam.com Thanks for your questions and code content. The content was
excellent and it helped me a lot. (Especially I have gone through all the Spark Professional
training module as well)
2. No. Of Questions: Generally you will get 10 questions in real exam: Topic will be coverings are
Sqoop, Hive, Pyspark and Scala and avro-tools to extract schema (All questions are covered in
CCA175 Certification Simulator).
3. Code Snippets: will be provided for Pyspark and Scala. You have to edit the snippets accordingly
as per the problem statement.
4. Real Exam Environment: Gateway node will be accessible for execution of the problems during
the exam. Keep in mind there will not be any on-screen timer available during the exam. You
have to keep asking for the time left. There are three sections for each problem i.e.
· Instructions
· Data Set
· Output Requirements.
Please go through all the three sections carefully before start developing the code.
Note: If you started developing code right after looking at the Instruction part of the question,
then later you will realized the exact details of the table like name of the table and HDFS
directory are also mentioned. This can waste your time if have to redo the code or might as well
cost you a question.
5. Editor: nano, gedit are not available. So if you have to edit any code snippets, you have to use vi
alone. Please make yourself familiar with vi editor if you are not.
6. Fill in blanks: You dont have to write entire code for Python and Scala for Apache Spark,
generally they will ask you to do fill in the blanks.
7. Flume: Very few questions on flume.
8. Difficulty Level: If you have enough knowledge, you will feel exam is quite easy. The questions
were logically easy and can be answered in the first attempt if you read the question carefully
(all three sections).
9. Common mistake in Sqoop: People use connector as localhost which is wrong, you have to use
full name instead of localhost (Avoid wasting your time). Use given hostname
10. Hive: Have initial knowledge of hive as well.
11. Spark: Using basic transform functions to get desired output. For instance filter according
particular scenario, sorting and ranking etc.
12. Avro-tool : avro-tool to get schema of avro file. (Very  nicely covered in CCA175
HadoopExam.com Simulator)
13. Big Mistake: Avoid accidently deleting your data: good practice is necessary to avoid such
mistakes. (Once you delete or drop hive table, you have to create it entirely once again.) Same is
instructed by www.HadoopExam.com during their videos  session provided at
http://cca175cloudera.training4exam.com/ (Please go through sample sessions)
14. Spark-sql: They will not ask questions based on Spark Sql learn importantly aggregate, reduce,
sort.
15. Time management: It is very important, (That’s the reason you need too much practice, use
CCA175 simulator to practice all the questions at least a week or two before your real exam).
16. Data sets in real exam is quite larger, hence it will take 2 to 5 mins for execution.

17. Attempts: try to attempt all questions at least 9/10, hence you must be able to score 70%.
18. File format: In most of questions there was tab delimited file to process.
19. Python or Scala: You will get a preloaded python or scala file to work with, so you don't have a
choice whether you want to attempt a question via scala or pyspark. (I have gone through all the
Video sessions provided by www.HadoopExam.com here
20. Connection Issue: If you got disconnected during exam, you may need to contact the proctor
immediately. If he/she is not available log back into examslocal.com and use their online help.
21. Shell scripts: Have good experience to use shell scripts.
22. Question types as mentioned in syllabus : Questions were from Sqoop(import and export),
Hive(table creation and dynamic partitioning), Pyspark and Scala(Joining, sorting and filtering
data), avro-tools. Snippets of code will be provided for Pyspark and Scala. You have to edit the
snippets accordingly as per the problem statement and can the script file(which is another file
apart from snippet) to get the results.
23. Overall exam is easy, but require lot of practice to complete on time and for accurate
solutions of the problem. Hence go through the all below material for CCA175 (It will not take
more than a month, if you are new and already know the Spark and Hadoop then 2-3 weeks
are good enough.
· CCA175 : Hadoop and Spark Developer Certification practice questions
· Hadoop professional training
· Spark professional training.

Wish you all the best

번호 제목 글쓴이 날짜 조회 수
559 postgresql-9.4에서 FATAL: remaining connection slots are reserved for non-replication superuser connections가 나올때 조치 총관리자 2018.08.16 937
558 sentry설정 방법및 활성화시 설정이 필요한 파일및 설정값, 계정생성 방법 총관리자 2018.08.16 777
557 컬럼및 라인의 구분자를 지정하여 sqoop으로 데이타를 가져오고 hive테이블을 생성하는 명령문 총관리자 2018.08.03 418
556 sqoop으로 mariadb에 접근해서 hive 테이블로 자동으로 생성하기 총관리자 2018.08.03 670
555 Last transaction was partial에 따른 Unable to load database on disk오류 발생시 조치사항 총관리자 2018.08.03 3973
554 RHEL 7.4에 zeppelin 0.7.4 설치 총관리자 2018.07.31 196
553 conda를 이용한 jupyterhub(v0.9)및 jupyter설치 (v4.4.0) 총관리자 2018.07.30 421
552 anaconda3 (v5.2) 설치및 머신러닝 관련 라이브러리 설치 절차 총관리자 2018.07.27 513
551 anaconda3(v5.4)를 이용하여 tensorflow설치후 ipython프로그램을 실행하여 import할때 오류발생시 조치 총관리자 2018.07.27 188
550 HiveServer2인증을 PAM을 이용하도록 설정하는 방법 총관리자 2018.07.21 254
549 [postgresql 9.x] PostgreSQL Replication 구축하기 총관리자 2018.07.17 226
548 spark 2.3.0을 설치하가 위해서 parcel에 다음 url을 입력한다. 총관리자 2018.07.15 198
547 sentry설정후 beeline으로 hive2server에 접속하여 admin계정에 admin권한 부여하기 총관리자 2018.07.03 336
546 upsert구현방법(년-월-일 파티션을 기준으로) 및 테스트 script file 총관리자 2018.07.03 1219
545 resouce manager에 dr.who가 아닌 다른 사용자로 로그인 하기 총관리자 2018.06.28 1207
544 하둡기반 데이타 모델링(6편) 총관리자 2018.06.27 197
543 CDH에서 Sentry 개념및 설정 file 총관리자 2018.06.21 504
542 cloudera에서 spark-shell를 실행했을때 default master는 spark.master=yarn-client임 총관리자 2018.06.20 181
541 dr.who로 공격들어오는 경우 조치방법 file 총관리자 2018.06.09 5603
540 spark-shell을 실행하면 "Attempted to request executors before the AM has registered!"라는 오류가 발생하면 총관리자 2018.06.08 542

A personal place to organize information learned during the development of such Hadoop, Hive, Hbase, Semantic IoT, etc.
We are open to the required minutes. Please send inquiries to gooper@gooper.com.

위로