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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
450 SCM서비스를 추가하는 동안 Unexpected error. Unable to verify database connection. 오류발생시 확인 사항 2018.06.08 4252
449 Error: E0501 : E0501: Could not perform authorization operation, User: hadoop is not allowed to impersonate hadoop 해결하는 방법 2015.06.07 4249
448 spark 온라인 책자링크 (제목 : mastering-apache-spark) 2016.05.25 4248
447 [sap] Error: java.io.IOException: SQLException in nextKeyValue 오류 발생 2020.06.08 4246
446 dual table만들기 2014.05.16 4245
445 [bitbucket] 2022년 3월 2일 부터 git 작업시 기존에 사용하던 비빌번호를 사용할 수 없도록 변경되었다. 2022.04.30 4241
444 운영중인 상태에서 kafka topic삭제하고 재생성하여 처리되지 않은 메세지 모두 삭제하기 2016.10.24 4241
443 [Cloudera 6.3.4, Kudu]]Service Monitor에서 사용하는 metric중에 일부를 blacklist로 설정하여 모니터링 정보 수집 제외하는 방법 2022.07.08 4240
442 "File /user/hadoop/share/lib does not exist" 오류 해결방법 2015.06.07 4238
441 Query Status: Sender xxx.xxx.xxx.xxx timed out waiting for receiver fragment instance: 1234:cdsf, dest node: 10 의 오류 원인및 대응방안 2021.11.03 4232
440 oozie WF에서 참고할만한 내용 2019.07.18 4231
439 java.util.NoSuchElementException발생시 조치 2014.08.27 4231
438 AnalysisException: Incomplatible return type 'DECIMAL(38,0)' and 'DECIMAL(38,5)' of exprs가 발생시 조치 2021.07.26 4229
437 sentry설정 방법및 활성화시 설정이 필요한 파일및 설정값, 계정생성 방법 2018.08.16 4228
436 하둡 클러스터 전체 노드를 다시 기동하면 invalidate metadata를 수행해야 데이터가 틀어지지 않는다. 2019.05.20 4221
435 json 값 다루기 2014.04.17 4217
434 Apache Spark와 Drools를 이용한 CEP구현 테스트 2016.07.15 4212
433 Kafka의 API중 Consumer.createJavaConsumerConnector()를 이용하고 다수의 thread를 생성하여 Kafka broker의 topic에 접근하여 데이타를 가져오고 처리하는 예제 소스 2017.04.26 4211
432 Windows7 64bit 환경에서 Apache Hadoop 2.7.1설치하기 2017.07.26 4209
431 [TLS/SSL]Kudu Tablet Server설정 2022.05.13 4208
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