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
521 [CDP7.1.7]Impala Query의 Memory Spilled 양은 ScratchFileUsedBytes값을 누적해서 구할 수 있다. 2022.07.29 325
520 SQL문장과 Mongo에서 사용하는 명령어를 비교한 것입니다. 2015.09.30 327
519 missing block및 관련 파일명 찾는 명령어 2021.02.20 328
518 Hue Job Browser의 Queries탭에서 조건을 지정하는 방법 2018.05.10 329
517 JAVA_HOME을 명시적으로 지정하는 방법 2018.06.04 329
516 impala external 테이블 생성시 컬럼과 라인 구분자를 지정하여 테이블 생성하는 예시 2020.02.20 329
515 RDF4J의 rdf4j-server.war가 제공하는 RESTFul API를 이용하여 repository에 CRUD테스트 2017.08.30 330
514 python 2.6.6에서 print 'A=' 형태의 사용이 python 3.5.1에서 오류(SyntaxError: Missing parentheses in call to 'print') 발생함.. 2016.05.27 334
513 Could not compute split, block input-0-1517397051800 not found형태의 오류가 발생시 조치방법 2018.02.01 334
512 Could not authenticate, GSSException: No valid credentials provided (Mechanism level: Failed to find any kerberos tgt) 2022.04.28 334
511 solrdf초기 기동시 "Caused by: java.lang.IllegalAccessError: tried to access field org.apache.solr.handler.RequestHandlerBase.log from class org.gazzax.labs.solrdf.handler.update.RdfUpdateRequestHandler" 오류가 발생시 조치사항 2016.04.22 336
510 한번에 여러값 update하기 2016.01.13 337
509 [CentOS 7.4]Hadoop NFS gateway기동시 Cannot connect to port 2049 오류 발생시 확인/조치 2022.03.02 339
508 [SparkR]SparkR 설치 사용기 1 - Installation Guide On Yarn Cluster & Mesos Cluster & Stand Alone Cluster file 2016.11.04 341
507 hue.axes_accessattempt테이블 데이터 샘플 2020.02.10 341
506 tar를 이용한 리눅스 백업 2018.05.13 342
505 SPIN(SPARQL Inference Notation)이란.. file 2016.02.25 343
504 [CDP7.1.7]impala-shell을 이용하여 kudu table에 insert/update수행시 발생하는 오류(Transport endpoint is not connected (error 107)) 발생시 확인할 내용 2023.11.30 343
503 collection생성혹은 collection조회시 Plugin init failure for [schema.xml] fieldType "pdate": Error loading class 'solr.IntField' 오류 조치사항 2022.04.07 344
502 룰에 매칭되면 발생되는 엑티베이션 객체에 대한 작업(이전값 혹은 현재값)을 처리하는 클래스 파일 2016.07.21 346
위로