메뉴 건너뛰기

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
750 [Shellscript]Impala view의 실제 참조 테이블 추출용 shellscript파일 2025.03.22 1001
749 엑셀에서 K ,M, G ,T 단위를 숫자로 변환 하는 수식 2025.04.09 1262
748 beeline을 이용한 impala JDBC 테스트 방법(Kerberos 설정된 상태임) 2024.11.29 1539
747 외부에서 ImpalaJDBC42.jar를 통해서 Impala에 접속시 sessions정보 2024.11.26 1624
746 test333 2017.05.01 1834
745 http://blog.naver.com... 2017.06.23 1838
744 Failed to resolve 'acme-v02.api.letsencrypt.org' ([Errno -3] Temporary failure in name resolution)" 2024.11.27 1914
743 eclipse 3.1 단축키 정리파일 2017.01.02 2058
742 5건의 triple data를 이용하여 특정 작업 폴더에서 작업하는 방법/절차 2016.06.16 2079
741 [vi] test.nq파일에서 특정문자열(예, <>)을 찾아서 포함되는 라인을 삭제한 동일한 이름의 파일을 만드는 방법 2017.01.25 2079
740 Windows에서 sbt개발환경 구축 방법(링크) 2016.06.02 2087
739 [EncryptionZone]User:testuser not allowed to do "DECRYPT_EEK" on 'testkey' 2023.06.29 2097
738 외부 jar파일을 만들려고하는jar파일의 package로 포함하는 방법 2016.08.10 2105
737 java스레드 덤프 분석하기 file 2016.11.03 2114
736 restaurant-controller,에서 등록 예시 2022.04.30 2123
735 DataSetCreator.py 실행시 파일을 찾을 수 없는 오류 2016.05.27 2129
734 실시간 쿼리 변환 모니터링(팩트내 필드값의 변경사항을 실시간으로 추적함)하는 테스트 java 프로그램 file 2016.07.21 2129
733 [oracle]10자리 timestamp값을 날짜로 변환하는 방법 2022.04.14 2164
732 하둡기반 데이타 모델링(6편) 2018.06.27 2177
731 [메모리 덤프파일 분석] 2017.03.31 2242
위로