Project Related Questions
These questions you must practice before your interview.
- Explain end to end project flow?
- What is the size of your cluster?
- What is the size of your team?
- Tell me about your client?
- Tell me about your current project?
- What is the amount of data you receive on daily basis?
- From how many input sources you are getting data?
- Tell me file naming scheme?
- What are technical challenges you have faced?
- Can you suggest some sample tables used?
- What is your biggest accomplishment?
- What are the minimum file size and maximum file size you have handled?
- Tell me the number of tables you have handled?
- Tell me the number of columns you have handled?
- Is WINSCP is capable of transferring 4GB data at a time?
- Can you give some client requirements in your Project?
- What are your roles and responsibilities?
- What are your key achievements?
- Tell me 15 table names?
- What are the key challenges you faced and how did you resolve
- Explain your involvement in the projects.
- Which technologies your strength and rate yourself?
- In Hadoop, how we get a data from the client from which channel, the data are on the server, if yes the name of server how we can access the data?
- On what servers Hadoop is installed?
- Were you involved in performance tuning? How did you do that?
- Issues & how did you resolve them?
- Can you explain compression techniques in Hadoop/Which technique did you use?
- How does ORC implement compression, what encoding techniques does it use?
- What is Indexing?
- How did you choose the columns for partitioning?
- Partitioned data is divided into how many buckets.
- On which column you have applied Partitioning and Bucketing?
- How did you conclude on the optimal bucket size?
- How can you implement Updates in Hive?
- What is bloom filter, how is it different from distributed cache, how do you implement it in MR?
- How to increase hive performance?
- Advantages of Columnar data stores over Row-oriented data stores.
- Can we change the default location of Managed tables?
- What are the factors that we consider while creating a hive table?
- What are the compression techniques and how do you decide which one to use?
- What are the key challenges you faced while importing data in Sqoop?
- Which Hadoop distribution have you used in your recent project?
- How you can contact your client everyday
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Hi Snehal,
ReplyDeleteGood Questions...
I have a suggestion if you don't mind.. It would have been better if you would have answered relating to any project...
Yes I agree too
DeleteThanks for your suggestions. I will answer to all the related questions in their individual topics.
DeleteCan you please ans the below questions
Delete1.What are the factors that we consider while creating a hive table?
2.What are the compression techniques and how do you decide which one to use?
3.What are the key challenges you faced while importing data in Sqoop
4.Advantages of Columnar data stores over Row-oriented data stores
5.How did you conclude on the optimal bucket size?
6.What is bloom filter, how is it different from distributed cache, how do you implement it in MR?
Thanks
Snehal, can you provide answers of above questions
DeleteThank you..
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ReplyDeleteThanks Asha for your comment. I will also post spark and scala interview questions.
Deletecould you provide project related Answers also
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ReplyDeleteGood Job Snehal..!! Can you answer those questions, Please?
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