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Cloudera, BigData, Semantic IoT, Hadoop, NoSQL

Cloudera CDH/CDP 및 Hadoop EcoSystem, Semantic IoT등의 개발/운영 기술을 정리합니다. gooper@gooper.com로 문의 주세요.


*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 날짜 조회 수
650 journalnode노드 기동시 "should be an absolute path"가 발생하고 기동되지 않을 경우 확인사항 2016.09.22 2862
649 [SparkR]SparkR 설치 사용기 1 - Installation Guide On Yarn Cluster & Mesos Cluster & Stand Alone Cluster file 2016.11.04 2862
648 S2RDF 테스트(벤치마크 테스트를 기준으로 python, scala소스가 만들어져서 기능은 파악되지 못함) [1] file 2016.05.27 2864
647 Could not configure server becase SASL configuration did not allow the Zookeeper server to authenticate itself properly: javax.security.auth.login.LoginException: Checksum failed 2019.05.18 2870
646 hbase startrow와 endrow를 지정하여 검색하기 샘플 2016.12.07 2876
645 anaconda3(v5.4)를 이용하여 tensorflow설치후 ipython프로그램을 실행하여 import할때 오류발생시 조치 2018.07.27 2879
644 S2RDF를 이용한 다른 버젼의 github링크 2016.12.02 2881
643 서버 5대에 solr 5.5.0 설치하고 index data를 HDFS에 저장/search하도록 설치/설정하는 방법(SolrCloud) 2016.04.08 2907
642 elasticsearch 1.3.0에서 rdf및 hadoop plugin설치 2016.04.06 2919
641 elasticsearch에서 모든 인덱스(색인)을 삭제하는 방법 2019.06.09 2919
640 초기 오류(java.lang.NoSuchMethodError)에 따른 후속 작업에서 오류(java.lang.NoClassDefFoundError)가 발생되는 상황(quartz에서 주기적으로 작업시) 2016.08.29 2922
639 python 2.6.6에서 print 'A=' 형태의 사용이 python 3.5.1에서 오류(SyntaxError: Missing parentheses in call to 'print') 발생함.. 2016.05.27 2928
638 천문학적, 기후학적, 기상학적, 생물학적, 농사계절 구분 2015.12.16 2931
637 jena의 data폴더를 hadoop nfs를 이용하여 HDFS상의 폴더에 마운트 시키고 fuseki를 통하여 inert를 시도했을때 transaction 오류 발생 2016.12.02 2940
636 oneM2M Specification(Draft Release 3, 2, 1), Draft Technical Reports 2017.10.25 2940
635 [Impala] alter table구문수행시 "WARNINGS: Impala does not have READ_WRITE access to path 'hdfs://nameservice1/DATA/Temp/DB/source/table01_ccd'" 발생시 조치 2024.04.26 2940
634 lagom-windows용 build.sbt파일 내용 2017.10.12 2946
633 Incompatible clusterIDs오류 원인및 해결방법 2016.04.01 2948
632 Elastic Search For Hadoop 2.2.0설치하기(5대 클러스터링) 2016.04.04 2952
631 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 2016.05.20 2953
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