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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
610 missing block및 관련 파일명 찾는 명령어 2021.02.20 4566
609 lombok설치방법 2020.06.20 2603
608 [sap] Error: java.io.IOException: SQLException in nextKeyValue 오류 발생 2020.06.08 4246
607 [kudu]테이블 drop이 안되고 timeout이 걸리는 경우 조치 방법 2020.06.08 4124
606 [oozie] oozie shell action에서 shellscript수행결과의 2개 변수를 decision 액션에서 사용하기 2020.06.05 3793
605 [Sentry]HDFS의 ACL을 Sentry와 연동후 테스트 2020.06.02 4131
604 [sqoop] mapper를 2이상으로 설정하기 위한 split-by컬럼을 찾을때 유용하게 활용할 수 있는 쿼리 2020.05.13 4667
603 mysql sqoop작업을 위해서 mysql-connector-java.jar을 추가하는 경우 확실하게 인식시키는 방법 2020.05.11 3747
602 W/F수행후 Logs not available for 1. Aggregation may not to complete. 표시되며 로그내용이 보이지 않은 경우 2020.05.08 4961
601 A Cluster의 HDFS 디렉토리및 파일을 사용자및 권한 유지 하여 다운 받아서 B Cluster에 넣기 2020.05.06 3940
600 impala external 테이블 생성시 컬럼과 라인 구분자를 지정하여 테이블 생성하는 예시 2020.02.20 3851
599 [Kerberos]Kerberos상태의 클러스터에 JDBC로 접근할때 케이스별 오류내용 2020.02.14 7062
598 cloudera서비스 중지및 기동순서 2020.02.14 4204
597 impala테이블 쿼리시 max_row_size 관련 오류가 발생할때 조치사항 2020.02.12 3854
596 hue.axes_accessattempt테이블 데이터 샘플 2020.02.10 4312
595 hue.desktop_document2의 type의 종류 2020.02.10 4483
594 hue db에서 사용자가 가지는 정보 확인 2020.02.10 4841
593 Cloudera의 CMS각 컴포넌트의 역할 2020.02.10 4390
592 Namenode Metadata백업하는 방법 2020.02.10 3888
591 cloudera의 hue에서 사용자가 사용한 쿼리 목록 2020.02.07 3721
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