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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
590 [DBeaver 4.3.0]import/export시 "Client home is not specified for connection" 오류발생시 조치사항 2017.12.21 4560
589 oozie가 말하는 start시간은..서버에서 확인되는 시간이 아닙니다. 2014.05.14 4557
588 [sbt] sbt-assembly를 이용하여 실행에 필요한 모든 j라이브러리를 포함한 fat jar파일 만들기 2016.07.11 4556
587 [EncryptionZone]User:hdfs not allowed to do 'DECRYPT_EEK on 'enc_key'오류 2023.11.02 4554
586 spark client프로그램 기동시 "Error initializing SparkContext"오류 발생할때 조치사항 2016.05.27 4551
585 update 샘플 2018.03.12 4545
584 hbase가 기동시키는 zookeeper에서 받아드리는 ip가 IPv6로 사용되는 경우가 있는데 이를 IPv4로 강제적용하는 방법 2015.05.08 4539
583 [CDP7.1.7]Hive Replication수행시 Target Cluster에서 Specified catalog.database.table does not exist 오류 2024.05.08 4535
582 json serde사용법 2014.04.17 4535
581 [CDP7.1.6,HDFS]HDFS파일을 삭제하고 Trash비움이 완료된후에도 HDFS 공간을 차지하고 있는 경우 확인/조치 방법 2023.07.17 4532
580 [Hue]Hue의 메타정보를 담고 있는 desktop_document테이블과 desktop_document2의 관계 2022.05.09 4528
579 ../depcomp: line 512 exec : g++ : not found 2013.03.08 4526
578 Oracle NLOB type의 데이터를 import하는 경우 No Java type for SQL type 2011 for column rst와 같은 오류 발생시 조치사항 2022.01.14 4525
577 hadoop 2.6.0에 sqoop2 (1.99.5) server및 client설치 == fail 2015.06.11 4525
576 [CDP7.1.7]Hive Replication수행중 Specified catalog.database.table does not exist : hive.db명.table명 오류 발생시 조치방법 2024.04.05 4524
575 [Hadoop Encryption] Encryption Zone에 생성된 table에 Hue에서 insert 수행시 User:hdfs not allowed to do 'DECRYPT_EEK' ON 'testkey' 오류 2023.11.01 4523
574 sequence한 번호 생성방법 2014.04.25 4523
573 [Active Directory] AD Kerberos보안 설정 변경 방법 (Maximum lifetime for user ticket, Maximum lifetime for user ticket renewal) 2024.03.12 4520
572 [CDP7.1.7][Replication]Table does not match version in getMetastore(). Table view original text mismatch 2024.01.02 4518
571 [sqoop] mapper를 2이상으로 설정하기 위한 split-by컬럼을 찾을때 유용하게 활용할 수 있는 쿼리 2020.05.13 4517
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