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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
400 banana pi에 hive 0.13.1+mysql(metastore)설치 file 총관리자 2014.09.09 2406
399 AIX 7.1에 MariaDB 10.2 소스 설치 총관리자 2016.09.24 2370
398 Cacti로 Hadoop 모니터링 하기 file 구퍼 2013.03.12 2367
397 kafka broker기동시 brokerId가 달라서 기동에 실패하는 경우 조치방법 총관리자 2016.05.02 2337
396 jupyter, zeppelin, rstudio를 이용하여 spark cluster에 job를 실행시키기 위한 정보 총관리자 2018.04.13 2335
395 hadoop설치시 오류 총관리자 2013.12.18 2313
394 메이븐 (maven) 설치 및 이클립스 연동하기 file 구퍼 2013.03.06 2280
393 hadoop설치시 참고사항 구퍼 2013.03.08 2131
392 W/F수행후 Logs not available for 1. Aggregation may not to complete. 표시되며 로그내용이 보이지 않은 경우 총관리자 2020.05.08 2110
391 hbase에 필요한 jar들 구퍼 2013.04.01 2100
390 Hive java connection 설정 file 구퍼 2013.04.01 2013
389 Hadoop 설치 및 시작하기 file 구퍼 2013.03.06 1951
388 hbase shell 필드 검색 방법 총관리자 2015.05.24 1900
387 VisualVM 1.3.9을 이용한 spark-submit JVM 모니터링을 위한 설정및 spark-submit실행 옵션 총관리자 2016.10.28 1891
386 Hadoop wordcount 소스 작성 file 구퍼 2013.03.06 1888
385 Spark 2.1.1 clustering(5대) 설치(YARN기반) 총관리자 2016.04.22 1882
384 hadoop 2.6.0에 sqoop2 (1.99.5) server및 client설치 == fail 총관리자 2015.06.11 1770
383 java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error: Unable to deserialize reduce input key from...오류해결방법 총관리자 2015.06.16 1760
382 hive에서 생성된 external table에서 hbase의 table에 값 insert하기 총관리자 2014.04.11 1748
381 access=WRITE, inode="staging":ubuntu:supergroup:rwxr-xr-x 오류 총관리자 2014.07.05 1719

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