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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
570 TransmitData() to failed: Network error: Recv() got EOF from remote (error 108) 오류 현상 2019.02.15 2437
569 [Oozie]Disk I/O error: Failed to open HDFS file dhfs://..../tb_aaa/....OPYING 2019.02.15 2391
568 kafka에서 메세지 중복 consume이 발생할 수 있는 상황 2018.10.23 2263
567 [sentry]role부여후 테이블명이 변경되어 오류가 발생할때 조치방법 2018.10.16 2725
566 hive metastore ERD file 2018.09.20 2595
565 Error: java.lang.RuntimeException: java.lang.OutOfMemoryError 오류가 발생하는 경우 2018.09.20 2458
564 physical memory used되면서 mapper가 kill되는 경우 오류 발생시 조치 2018.09.20 3327
563 impala,hive및 hdfs만 접근가능하고 파일을 이용한 테이블생성가능하도록 hue 권한설정설정 2018.09.17 1857
562 cloudera(python 2.7.5)에서 anaconda3로 설치한 외부 python(3.6.6)을 이용하여 pyspark를 사용하는 설정 2018.09.14 2975
561 ntp시간 맞추기 2018.09.12 1320
560 ubuntu 커널 업그레이드 방법 2018.09.02 2148
559 oracle to hive data type정리표 2018.08.22 6049
558 postgresql-9.4에서 FATAL: remaining connection slots are reserved for non-replication superuser connections가 나올때 조치 2018.08.16 3013
557 sentry설정 방법및 활성화시 설정이 필요한 파일및 설정값, 계정생성 방법 2018.08.16 2714
556 컬럼및 라인의 구분자를 지정하여 sqoop으로 데이타를 가져오고 hive테이블을 생성하는 명령문 2018.08.03 2605
555 sqoop으로 mariadb에 접근해서 hive 테이블로 자동으로 생성하기 2018.08.03 2745
554 Last transaction was partial에 따른 Unable to load database on disk오류 발생시 조치사항 2018.08.03 5151
553 RHEL 7.4에 zeppelin 0.7.4 설치 2018.07.31 2895
552 conda를 이용한 jupyterhub(v0.9)및 jupyter설치 (v4.4.0) 2018.07.30 2524
551 anaconda3 (v5.2) 설치및 머신러닝 관련 라이브러리 설치 절차 2018.07.27 1983
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