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
407 Impala Admission Control 설정시 쿼리가 사용하는 메모리 사용량 판단 방법 2023.05.19 4840
406 [Atlas Server]org.apache.hadoop.hbase.security.AccessDeniedException: Insufficient permissions (user=atlas/node01.gooper.com@GOOPER.COM, scope=default:atlas_janus, params=[table=default:atlas_janus,], action-CREATE)] 2023.05.15 4516
405 [Ranger]계정에 admin권한(grant, create등)의 권한 부여 방법 2023.04.18 4290
404 [DataNode]org.apache.hadoop.security.KerberosAuthException: failure to login: for principal: hdfs/datanode03@GOOPER.COM from keytab hdfs.keytab오류 2023.04.18 9820
403 [KUDU] kudu tablet server여러가지 원인에 의해서 corrupted상태가 된 경우 복구방법 2023.03.28 4616
402 Hadoop Clsuter에 이미 포함된 host의 hostname변경시 처리 절차 2023.03.24 4445
401 [Kudu]ERROR: Unable to advance iterator for node with id '2' for Kudu table 'impala::core.pm0_abdasubjct': Network error: recv error from unknown peer: Transport endpoint is not connected (error 107) 2023.03.16 5209
400 hive의 메타정보 테이블을 MariaDB로 사용하는 경우 table comment나 column comment에 한글 입력시 깨지는 경우 utf8로 바꾸는 방법. 2023.03.10 4611
399 [Hive canary]Hive에 Metastore canary red alert및 hive log파일에 Duplicate entry '123456' for key 'NOTIFICATION_LOG_EVENT_ID'가 발생시 조치사항 2023.03.10 4772
398 [Impala TLS/SSL이슈]RangerAdminRESTClient.java:151] Failed to get response, Error is: TrustManager is not specified 2023.02.02 3961
397 [Kerberos]병렬 kinit 호출시 cache파일이 손상되어 Bad format in credentials cache 혹은 No credentials cache found 혹은 Internal credentials cache error 오류 발생시 2023.01.20 4515
396 [HA구성 이슈]oozie 2대를 L4로 HA구성했을때 발생하는 이슈 2023.01.17 4901
395 [Impala 3.2버젼]compute incremental stats db명.테이블명 수행시 ERROR: AnalysisException: Incremental stats size estimate exceeds 2000.00MB. 오류 발생원인및 조치방안 2022.11.30 4842
394 [oozie]oozie ssh action으로 패스워드 없이 다른 서버에 ssh로그인 하여 shellscript호출하는 설정하는 방법 2022.11.10 4293
393 kudu의 내부 table명 변경하는 방법 2022.11.10 3807
392 kerberos연동된 CDH 6.3.4에서 default realm값이 잘못된 상태에서 서비스 기동시 오류 2022.10.14 4277
391 [impala]쿼리 수행중 발생하는 오류(due to memory pressure: the memory usage of this transaction, Failed to write to server) 2022.10.05 4256
390 [Kerberos인증] /var/log/krb5kdc.log파일 기준으로 인증요청(AS), 티켓확인(TGS)이 진행되는 로그 기록 2022.09.21 4421
389 Oracle 12c DB의 LOB타입 컬럼이 있는 테이블을 import할 때 주의 할 사항 2022.09.14 4410
388 [kerberos]Kerberos HA구성 참고 페이지 2022.08.31 3321
위로