메뉴 건너뛰기

Bigdata, Semantic IoT, Hadoop, NoSQL

Bigdata, Hadoop ecosystem, Semantic IoT등의 프로젝트를 진행중에 습득한 내용을 정리하는 곳입니다.
필요한 분을 위해서 공개하고 있습니다. 문의사항은 gooper@gooper.com로 메일을 보내주세요.


*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 글쓴이 날짜 조회 수
378 [AD(LADP)] CDP1.7에서 AD및 Kerberos를 연동해도 각 노드에 os account, os group은 생성되어야 하지만 SSSD서비스를 이용하면 직접 생성될 필요가 없다. gooper 2022.06.10 105
377 Query 1234:1234 expired due to client inactivity(timeout is 5m)및 invalid query handle gooper 2022.06.10 81
376 HDFS 파일및 디렉토리 생성시 생성방법에 따라 권한이 다르게 부여된다. gooper 2022.05.30 220
375 [Cloudera Agent] Metadata-Plugin throttling_logger INFO (713 skipped) Unable to send data to nav server. Will try again. gooper 2022.05.16 7
374 "bad handshake: Error([('SSL routines', 'ssl3_get_server_certificate', 'certificate verify failed')])" 오류는 CA인증을 하지 못해서 발생함 총관리자 2022.05.13 48
373 [TLS/SSL]Kudu Tablet Server설정 총관리자 2022.05.13 35
372 [TLS/SSL]Kudu Master 설정하기 총관리자 2022.05.13 61
371 [TLS/SSL]Cloudera 6.3.4기준 Oozie Web UI TLS설정 항목및 설정값 총관리자 2022.05.13 36
370 [TLS/SSL]Cloudera CDH6.3.4기준 Hue TLS설정 항목 총관리자 2022.05.13 93
369 [HIVESERVER2]프로세스의 thread및 stack trace를 덤프하는 방법(pstack, jstack) 총관리자 2022.05.11 149
368 [Hue]Hue의 메타정보를 담고 있는 desktop_document테이블과 desktop_document2의 관계 총관리자 2022.05.09 38
367 Error: IO_ERROR : java.io.IOException: Error while connecting Oozie server 총관리자 2022.05.02 26
366 oozie webui접근시 id/pw를 물어보는 Windows보안 팝업창이 뜰때 확인/조치방법 총관리자 2022.05.02 19
365 Could not authenticate, GSSException: No valid credentials provided (Mechanism level: Failed to find any kerberos tgt) 총관리자 2022.04.28 27
364 [hive] hive.tbls테이블의 owner컬럼값은 hadoop.security.auth_to_local에 의해서 filtering된다. 총관리자 2022.04.14 55
363 hue메타 정보를 저장(oracle DB)하는 내부 테이블을 이용하여 전체 테이블목록, 전체 코디네이터 목록, 코디네이터기준 workflow구조를 추출하는 쿼리문 총관리자 2022.04.01 48
362 HDFS에서 quota 설정 방법및 확인 방법 총관리자 2022.03.30 55
361 [oozie]Oozie WF수행시 단계별 ID넘버링 비교/설명 총관리자 2022.03.23 16
360 [application수행 로그]Failed to read the application application_123456789012_123456시 조치 방법 총관리자 2022.03.21 46
359 Hue impala에서 query결과를 HDFS 파일로 export시 AuthorizationException: User 'gooper1234' does not have privileges to access: db명.query_impala_123456 총관리자 2022.03.17 214

A personal place to organize information learned during the development of such Hadoop, Hive, Hbase, Semantic IoT, etc.
We are open to the required minutes. Please send inquiries to gooper@gooper.com.

위로