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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
541 spark-shell실행시 "A read-only user or a user in a read-only database is not permitted to disable read-only mode on a connection."오류가 발생하는 경우 해결방법 총관리자 2016.05.20 551
540 Spark 1.6.1 설치후 HA구성 총관리자 2016.05.24 455
539 spark-env.sh에서 사용할 수있는 항목. 총관리자 2016.05.24 568
538 "Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources"오류 발생시 조치사항 총관리자 2016.05.25 1030
537 spark 온라인 책자링크 (제목 : mastering-apache-spark) 총관리자 2016.05.25 51
536 spark-submit으로 spark application실행하는 다양한 방법 총관리자 2016.05.25 304
535 RDF storage조합에대한 test결과(4store, Jena+HBase, Hive+HBase, CumulusRDF, Couchbase) 페이지 링크 총관리자 2016.05.26 102
534 CentOS6에 python3.5.1 소스코드로 빌드하여 설치하기 총관리자 2016.05.27 71
533 S2RDF 테스트(벤치마크 테스트를 기준으로 python, scala소스가 만들어져서 기능은 파악되지 못함) [2] file 총관리자 2016.05.27 76
532 python실행시 ValueError: zero length field name in format오류 해결방법 총관리자 2016.05.27 44
531 python 2.6.6에서 print 'A=' 형태의 사용이 python 3.5.1에서 오류(SyntaxError: Missing parentheses in call to 'print') 발생함.. 총관리자 2016.05.27 62
530 DataSetCreator.py 실행시 파일을 찾을 수 없는 오류 총관리자 2016.05.27 53
529 --master yarn 옵션으로 spark client프로그램 실행할때 메모리 부족 오류발생시 조치방법 총관리자 2016.05.27 141
528 spark client프로그램 기동시 "Error initializing SparkContext"오류 발생할때 조치사항 총관리자 2016.05.27 539
527 Job이 끝난 log을 볼수 있도록 설정하기 총관리자 2016.05.30 406
526 centos에 sbt 0.13.5 설치 총관리자 2016.05.30 251
525 Scala버젼 변경 혹은 상황에 맞게 Spark소스 컴파일하기 총관리자 2016.05.31 67
524 "암은 평범한 병, 심호흡만 잘해도 암세포 분열 저지” 총관리자 2016.06.02 48
523 Windows에서 sbt개발환경 구축 방법(링크) 총관리자 2016.06.02 54
522 hive 2.0.1 설치및 mariadb로 metastore 설정 총관리자 2016.06.03 5187

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