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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
90 "암은 평범한 병, 심호흡만 잘해도 암세포 분열 저지” 2016.06.02 2814
89 파일명 혹은 확장자 일괄 변경하는 방법 2017.01.26 2810
88 슬라이딩 윈도우 예제 2016.07.28 2803
87 Spark에서 KafkaUtils.createStream()를 이용하여 이용하여 kafka topic에 접근하여 객채로 저장된 값을 가져오고 처리하는 예제 소스 2017.04.26 2802
86 webid에서 google처럼 검색할 수 있도록 하는 프로그램 2017.05.16 2782
85 java.lang.IllegalArgumentException: Does not contain a valid host:port authority: master 오류해결방법 2015.05.06 2779
84 에러 추적(Error Tracking) 및 로그 취합(logging aggregation) 시스템인 Sentry 설치 2018.03.14 2778
83 magento2 설치후 초기화면이 깨지는 문제 file 2017.01.31 2774
82 jdk 9이상 사용하려면 repository를 아래와 같이 지정해야한다. 2019.06.02 2770
81 [Kerberos]Kerberos authentication cache를 FILE로 지정해도 KCM으로 저장되는 경우 조치방법 2024.11.03 2769
80 SPARQL의 유형, SPARQL 만들기등에 대한 설명 2016.02.18 2768
79 HDFS상의 /tmp폴더에 Permission denied오류가 발생시 조치사항 2017.01.25 2763
78 windows10 pro에서 microservice pattern책의 예제를 kubernetes에서 기동하는 방법 2022.01.30 2761
77 halyard 1.3의 rdf4j-server.war와 rdf4j-workbench.war를 tomcat deploy후 조회시 java.lang.NoClassDefFoundError: org/apache/hadoop/hbase/Cell발생시 조치사항 2017.07.05 2744
76 [CDP7.1.7, Replication]Encryption Zone내 HDFS파일을 비Encryption Zone으로 HDFS Replication시 User hdfs가 아닌 hadoop으로 수행하는 방법 2024.01.15 2737
75 down된 broker로 메세지를 전송하려는 경우의 오류 내용및 조치사항 2016.08.12 2732
74 파일은 남겨두고 파일 내용만 지우고자 할 때. 2017.08.30 2710
73 HA(Namenode, ResourceManager, Kerberos) 및 보안(Zookeeper, Hadoop) 2018.03.16 2707
72 HBase write 성능 튜닝 file 2017.07.18 2703
71 S2RDF를 실행부분만 추출하여 1건의 triple data를 HDFS에 등록, sparql을 sql로 변환, sql실행하는 방법및 S2RDF소스 컴파일 방법 2016.06.15 2700
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