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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
561 namenode오류 복구시 사용하는 명령 총관리자 2016.04.01 377
560 Incompatible clusterIDs오류 원인및 해결방법 총관리자 2016.04.01 493
559 Elastic Search For Hadoop 2.2.0설치하기(5대 클러스터링) 총관리자 2016.04.04 448
558 elasticsearch 1.3.0에서 rdf및 hadoop plugin설치 총관리자 2016.04.06 108
557 failed to read local state, exiting...오류발생시 조치사항 총관리자 2016.04.06 141
556 서버 5대에 solr 5.5.0 설치하고 index data를 HDFS에 저장/search하도록 설치/설정하는 방법 총관리자 2016.04.08 54
555 서버 5대에 solr 5.5.0 설치하고 index data를 HDFS에 저장/search하도록 설치/설정하는 방법(SolrCloud) 총관리자 2016.04.08 657
554 딥러닝 수학/알고리즘 '한국어' 강의 총관리자 2016.04.10 110
553 Cassandra 3.4(3.10) 설치/설정 (5대로 clustering) 총관리자 2016.04.11 397
552 bin/cassandra -f -R로 startup할때 NullPointerException오류가 나면 조치할 내용 총관리자 2016.04.14 70
551 cumulusRDF 1.0.1설치및 "KeyspaceCumulus" keyspace확인하기 file 총관리자 2016.04.15 244
550 Hadoop 완벽 가이드 정리된 링크 총관리자 2016.04.19 205
549 Spark 2.1.1 clustering(5대) 설치(YARN기반) 총관리자 2016.04.22 1882
548 solrcloud에 solrdf1.1설치하고 테스트 하기 총관리자 2016.04.22 113
547 solrdf초기 기동시 "Caused by: java.lang.IllegalAccessError: tried to access field org.apache.solr.handler.RequestHandlerBase.log from class org.gazzax.labs.solrdf.handler.update.RdfUpdateRequestHandler" 오류가 발생시 조치사항 총관리자 2016.04.22 157
546 collection생성시 -shards와 -replicationFactor값을 잘못지정하면 write.lock for client xxx.xxx.xxx.xxx already exists오류가 발생한다. 총관리자 2016.04.28 88
545 solr 인스턴스 기동후 shard에 서버가 정상적으로 할당되지 않는 경우 해결책 총관리자 2016.04.29 654
544 kafka 0.9.0.1 for scala 2.1.1 설치및 테스트 총관리자 2016.05.02 412
543 kafka broker기동시 brokerId가 달라서 기동에 실패하는 경우 조치방법 총관리자 2016.05.02 2337
542 Master rejected startup because clock is out of sync 오류 해결방법 총관리자 2016.05.03 60

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