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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 로그 파일에 대해 Elasticsearch 사용하기 2014.09.25 4260
649 RHadoop을 통해서 웹사이트의 방문자수를 예측하는 방법 2014.09.26 4258
648 solr에서 한글사용시 주의점 2014.09.26 2992
647 solr설치및 적용관련 file 2014.09.27 4717
646 solr vs elasticsearch 비교2 2014.09.29 3815
645 [번역] solr 검색 엔진 튜토리얼 2014.10.07 3633
644 Using The ZooKeeper CLI에서 zkCli의 위치 2014.11.02 4345
643 kafka의 re-balance를 이용하여 consumer를 multi thread로 돌려서 topic의 partitions을 활용 2015.03.31 4014
642 SASL configuration failed: javax.security.auth.login.LoginException: java.lang.NullPointerException 오류 해결방법 2015.04.02 3811
641 scan의 startrow, stoprow지정하는 방법 2015.04.08 4970
640 bananapi 5대(ubuntu계열 리눅스)에 yarn(hadoop 2.6.0)설치하기-ResourceManager HA/HDFS HA포함, JobHistory포함 2015.04.24 22219
639 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable원인 2015.04.27 4364
638 zookeeper 3.4.6 설치(3대) 2015.04.28 4433
637 Hadoop - 클러스터 세팅및 기동 2015.04.28 4001
636 HBase 0.98.12(1.2.5) for hadoop2 설치-5대에 완전분산모드 (HDFS HA상테) 2015.04.29 4434
635 hive 0.13.1 설치 + meta정보는 postgresql 9.3에 저장 2015.04.30 4065
634 oozie 4.1 설치 - maven을 이용한 source compile on hadoop 2.5.2 with postgresql 9.3 2015.04.30 4144
633 hadoop 2.6.0 기동(에코시스템 포함)및 wordcount 어플리케이션을 이용한 테스트 2015.05.05 6516
632 java.lang.IllegalArgumentException: Does not contain a valid host:port authority: master 오류해결방법 2015.05.06 2779
631 znode /hbase recursive하게 지우기 2015.05.06 4291
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