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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
381 [shell script] 파일을 한줄씩 읽어서 파일내용으로 명령문 만들고 실행하는 shell script예제 2017.02.21 420
380 [shell script]test.txt에 space로 분리된 내용을 일어들이는 예제 2017.02.21 408
379 spark에서 hive table을 읽어 출력하는 예제 소스 2017.03.09 561
378 spark에서 hive table을 읽어 출력하는 예제 소스 2017.03.09 179
377 spark2.0.0에서 hive 2.0.1 table을 읽어 출력하는 예제 소스(HiveContext, SparkSession, SQLContext) 2017.03.09 283
376 It is indirectly referenced from required .class files 오류 발생시 조치방법 2017.03.09 584
375 spark 2.0.0의 api를 이용하는 예제 프로그램 2017.03.15 274
374 kafka-manager 1.3.3.4 설정및 실행하기 2017.03.20 700
373 nc -l 7777 : 7777포트에서 입력을 받는다. 2017.03.23 418
372 JavaStreamingContext를 이용하여 스트림으로 들어오는 문자열 카운트 소스 2017.03.30 210
371 [메모리 덤프파일 분석] 2017.03.31 262
370 streaming작업시 입력된 값에 대한 사본을 만들게 되는데 이것이 실패했을때 발생하는 경고메세지 2017.04.03 510
369 protege 설명및 사용법 file 2017.04.04 3019
368 Container killed by the ApplicationMaster. Container killed on request. Exit code is 143 Container exited with a non-zero exit code 143 TaskAttempt killed because it ran on unusable node 오류시 조치방법 2017.04.06 643
367 LUBM 개수별 hadoop HDFS data사이즈 정리 2017.04.06 213
366 update를 많이 하면 heap memory가 많이 소진되고 최종적으로 OOM가 발생하는데 이에 대한 설명 2017.04.10 817
365 [jsoup]Jsoup Tutorial 2017.04.11 256
364 [Jsoup]특정페이지를 jsoup을 이용하여 파싱하는 샘플소스 2017.04.18 416
363 Caused by: java.lang.ClassNotFoundException: org.apache.spark.Logging 발생시 조치사항 2017.04.19 517
362 Spark에서 Serializable관련 오류및 조치사항 2017.04.21 5029
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