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
379 [Hue]Hue의 메타정보를 담고 있는 desktop_document테이블과 desktop_document2의 관계 총관리자 2022.05.09 38
378 [CDP7.1.7]impala-shell을 이용하여 kudu table에 insert/update수행시 발생하는 오류(Transport endpoint is not connected (error 107)) 발생시 확인할 내용 gooper 2023.11.30 42
377 new Gson().toJson(new ObjectId())을 사용하면 값이 다르게 나오는 경우가 있음 총관리자 2016.12.23 44
376 you are accessing a non-optimized hue please switch to one of the available addresses 총관리자 2021.10.06 45
375 hadoop cluster구성된 노드를 확인시 Capacity를 보면 색이 붉은색으로 표시되어 있는 경우나 Unhealthy인 경우 처리방법 총관리자 2017.08.30 46
374 [application수행 로그]Failed to read the application application_123456789012_123456시 조치 방법 총관리자 2022.03.21 46
373 [Ranger]계정에 admin권한(grant, create등)의 권한 부여 방법 gooper 2023.04.18 46
372 hue메타 정보를 저장(oracle DB)하는 내부 테이블을 이용하여 전체 테이블목록, 전체 코디네이터 목록, 코디네이터기준 workflow구조를 추출하는 쿼리문 총관리자 2022.04.01 48
371 "bad handshake: Error([('SSL routines', 'ssl3_get_server_certificate', 'certificate verify failed')])" 오류는 CA인증을 하지 못해서 발생함 총관리자 2022.05.13 48
370 Cloudera Manager 5.x설치시 embedded postgresql를 사용하는 경우의 관리정보 총관리자 2018.04.13 49
369 spark 온라인 책자링크 (제목 : mastering-apache-spark) 총관리자 2016.05.25 51
368 hadoop에서 yarn jar ..를 이용하여 appliction을 실행하여 정상적으로 수행되었으나 yarn UI의 어플리케이션 목록에 나타나지 않는 문제 총관리자 2017.05.02 51
367 oracle 12에 sqoop해서 데이터 import하기 (console에서 sqoop import하는 방법) 총관리자 2021.12.31 52
366 [HDFS]Encryption Zone에 생성된 테이블 조회시 Failed to open HDFS file hdfs://nameservice1/tmp/zone1/sec_test_file.txt Error(255): Unknown error 255 Root cause: AuthorizationException: User:impala not allowd to do 'DECRYPT_EEK' on 'testkey' gooper 2023.06.29 52
365 [Impala jdbc]CDP7.1.7환경에서 java프로그램을 이용하여 kerberized impala cluster에 접근하여 SQL을 수행하는 방법 gooper 2023.08.22 54
364 HDFS에서 quota 설정 방법및 확인 방법 총관리자 2022.03.30 55
363 [hive] hive.tbls테이블의 owner컬럼값은 hadoop.security.auth_to_local에 의해서 filtering된다. 총관리자 2022.04.14 55
362 Master rejected startup because clock is out of sync 오류 해결방법 총관리자 2016.05.03 60
361 Mysql DB 생성 및 권한. 특정아이피, 대역에 대한 접근 허용 총관리자 2017.05.04 60
360 [TLS]TLS용 사설 인증서 변경 혹은 신규 지정시 No trusted certificate found 오류 발생시 확인및 조치사항 총관리자 2022.03.15 60

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