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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
330 impala session type별 표시되는 정보로 구분하는 방법 2021.05.25 3877
329 데이타 제공 사이트 링크 2014.08.03 3875
328 Cloudera가 사용하는 서비스별 포트 2018.03.29 3872
327 우분투 16.04 설치후 APM (Apache2, PHP, MySQL) 설치 2017.01.29 3868
326 javax.net.ssl.SSLHanshakeException: SSLHandshakeException invoking https://mainCluster.gooper.com:7183/api/v1/users: sun.security.validator.ValidatorException: No trusted certificate found 2022.06.29 3867
325 TransmitData() to failed: Network error: Recv() got EOF from remote (error 108) 오류 현상 2019.02.15 3865
324 [shell script] 파일을 한줄씩 읽어서 파일내용으로 명령문 만들고 실행하는 shell script예제 2017.02.21 3860
323 Cloudera Manager재설치하는 동안 "Host is in bad health"오류가 발생하는 경우 확인/조치 사항 2018.05.24 3858
322 impala테이블 쿼리시 max_row_size 관련 오류가 발생할때 조치사항 2020.02.12 3855
321 DeviceType이 o:motion-sensor_33 이거나 o:motion-sensor_32 경우의 sparql문장은 다음과 같다. 2017.08.16 3854
320 impala external 테이블 생성시 컬럼과 라인 구분자를 지정하여 테이블 생성하는 예시 2020.02.20 3851
319 streaming작업시 입력된 값에 대한 사본을 만들게 되는데 이것이 실패했을때 발생하는 경고메세지 2017.04.03 3841
318 [oneM2M]Ontologies used for oneM2M 2017.08.02 3832
317 bash는 PS1 변수를 통해 프롬프트의 모양을 바꿀 수 있다. 2016.03.30 3826
316 update(update와 delete->insert)사용시 주의/참고사항 2016.01.06 3820
315 solr vs elasticsearch 비교2 2014.09.29 3818
314 Building a Cluster docs 2014.04.22 3816
313 Not enough replica available for query at consistency QUORUM가 발생하는 경우 2017.06.21 3814
312 [TLS]pkcs12형식의 인증서 생성및 jks형식 인증서 생성 커맨드 예시 2022.03.15 3813
311 Ubuntu 16.04 LTS에서 사이트에 무료인증서를 이용하여 SSL적용 file 2017.05.23 3813
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