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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
521 impala 설치/설정 2016.06.03 1163
520 Caused by: java.net.URISyntaxException: Relative path in absolute URI: ${system:java.io.tmpdir%7D/$%7Bsystem:user.name%7D오류발생시 조치사항 2016.06.03 1246
519 beeline실행시 User: root is not allowed to impersonate오류 발생시 조치사항 2016.06.03 852
518 ./spark-sql 실행시 "java.lang.NumberFormatException: For input string: "1s"오류발생시 조치사항 2016.06.09 226
517 spark-sql실행시 The specified datastore driver ("com.mysql.jdbc.Driver") was not found in the CLASSPATH오류 발생시 조치사항 2016.06.09 581
516 spark-sql실행시 Caused by: java.lang.NumberFormatException: For input string: "0s" 오류발생시 조치사항 2016.06.09 2870
515 spark-sql실행시 ERROR log: Got exception: java.lang.NumberFormatException For input string: "2000ms" 오류발생시 조치사항 2016.06.09 301
514 S2RDF모듈의 실행부분만 추출하여 별도록 실행하는 방법(draft) 2016.06.14 213
513 S2RDF를 실행부분만 추출하여 1건의 triple data를 HDFS에 등록, sparql을 sql로 변환, sql실행하는 방법및 S2RDF소스 컴파일 방법 2016.06.15 492
512 queryTranslator실행시 NullPointerException가 발생전에 java.lang.ArrayIndexOutOfBoundsException발생시 조치사항 2016.06.16 555
511 5건의 triple data를 이용하여 특정 작업 폴더에서 작업하는 방법/절차 2016.06.16 123
510 DataSetCreator실행시 "Illegal character in fragment at index"오류가 나는 경우 조치방안 2016.06.17 553
509 avro 사용하기(avsc 스키마 파일 컴파일 방법, consumer, producer샘플소스) 2016.07.08 1458
508 [sbt] sbt 0.13.11 를 windows에 설치하고 scala프로그램을 compile해서 jar파일 만들기 2016.07.11 380
507 [sbt] sbt-assembly를 이용하여 실행에 필요한 모든 j라이브러리를 포함한 fat jar파일 만들기 2016.07.11 1929
506 kafka로 부터 메세지를 stream으로 받아 처리하는 spark샘플소스(spark의 producer와 consumer를 sbt로 컴파일 하고 서버에서 spark-submit하는 방법) 2016.07.13 700
505 org.apache.hadoop.hbase.ClockOutOfSyncException: org.apache.hadoop.hbase.ClockOutOfSyncException 오류시 조치사항 2016.07.14 166
504 Apache Spark와 Drools를 이용한 CEP구현 테스트 2016.07.15 713
503 Drools 6.0 - 비즈니스 룰 기반으로 간단한 룰 애플리케이션 만들기 file 2016.07.18 683
502 실시간 쿼리 변환 모니터링(팩트내 필드값의 변경사항을 실시간으로 추적함)하는 테스트 java 프로그램 file 2016.07.21 149
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