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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
521 lubuntu 호스트 네임변경 2014.08.03 723
520 kudu table와 impala(hive) table정보가 틀어져서 테이블을 읽지 못하는 경우(Error Loading Metadata) 조치방법 2023.11.10 716
519 conda를 이용한 jupyterhub(v0.9)및 jupyter설치 (v4.4.0) 2018.07.30 711
518 uEnv.txt위치및 내용 2014.07.09 710
517 Apache Spark와 Drools를 이용한 CEP구현 테스트 2016.07.15 709
516 kafka-manager 1.3.3.4 설정및 실행하기 2017.03.20 700
515 spark-shell을 실행하면 "Attempted to request executors before the AM has registered!"라는 오류가 발생하면 2018.06.08 699
514 kafka로 부터 메세지를 stream으로 받아 처리하는 spark샘플소스(spark의 producer와 consumer를 sbt로 컴파일 하고 서버에서 spark-submit하는 방법) 2016.07.13 699
513 hadoop 클러스터 실행 스크립트 정리 2018.03.20 698
512 Tracking URL = N/A 가발생하는 경우 - 환경설정값을 잘못설정하는 경우에 발생함 2015.06.17 694
511 HDFS 파일및 디렉토리 생성시 생성방법에 따라 권한이 다르게 부여된다. 2022.05.30 691
510 컬럼및 라인의 구분자를 지정하여 sqoop으로 데이타를 가져오고 hive테이블을 생성하는 명령문 2018.08.03 691
509 원격지에서 zio공유기를 통해서 노트북의 mysql접속을 허용하는 방법 2014.09.07 688
508 not leader of this config: current role FOLLOWER 오류 발생시 확인방법 2022.01.17 682
507 Drools 6.0 - 비즈니스 룰 기반으로 간단한 룰 애플리케이션 만들기 file 2016.07.18 682
506 spark, kafka, mariadb, jena, springframework등을 이용하여 공통모듈을 jar로 만들기 위한 build.gradle파일(참고용) 2016.08.19 681
505 hadoop의 data디렉토리를 변경하는 방법 2014.08.24 675
504 root가 localhost에서 mysql로 접근하지 못하는 경우의 해결방법(패스워드) 2014.09.10 674
503 java.lang.ClassNotFoundException: org.apache.hadoop.util.ShutdownHookManager 오류조치사항 2015.05.20 673
502 anaconda3 (v5.2) 설치및 머신러닝 관련 라이브러리 설치 절차 2018.07.27 672
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