Hadoop (Big Data) Interview Questions and Answers

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Showing posts with label You need a distributed. Show all posts

Showing posts with label You need a distributed. Show all posts

You need a distributed, scalable, data Store that allows you random, realtime read/write access to hundreds of terabytes of data. Which of the following would you use?

A. Hue
B. Pig
C. Hive
D. Oozie
E. HBase
F. Flume
G. Sqoop

Answer: E

Posted by Interview Questions and Answers - atozIQ at 06:45 14 comments:

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Labels: data Store that allows you random, realtime read/write access to, scalable, You need a distributed

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45. What is the best performance one can expect from a Hadoop cluster?
48. Can a custom type for data Map-Reduce processing be implemented?
49. What happens if mapper output does not match reducer input?
50. Can you provide multiple input paths to a map-reduce jobs?
51. In a MapReduce job
64. Which of the following best describes the workings of TextInputFormat?
and generate Java classes to Interact with your imported data
Can you run Map - Reduce jobs
data Store that allows you random
Determine which best describes when the reduce method
Given a directory of files with the following structure: line number
Hadoop (BigData) Tutorial pdf
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Hadoop And Big Data Certification Online Practice Test
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How can you disable the reduce step?
How can you overwrite the default input format?
In a MapReduce job
Interview Questions and Answers for Hadoop
IntWritable. They have almost the
realtime read/write access to
scalable
string:
tab character
Text
The Hadoop API uses basic Java types such as LongWritable
the reducer receives all values associated with
To process input key-value pairs
What are the common problems with map-side join?
What is AVRO?
What is distributed cache?
What is PIG?
What is the default input format?
What is writable?
Which is faster: Map-side join or Reduce-side join? Why?
Which of the following statements most accurately describes
Which of the following utilities allows
Which process describes the lifecycle of a Mapper?
Which project gives you a distributed
Why would a developer create a map-reduce without the reduce step?
Will settings using Java API
Workflows expressed in Oozie can contain:
You have an employee who is a Date Analyst and is very comfortable
You have written a Mapper which invokes the following five calls
You need a distributed
You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper that uses
You need to import a portion of a relational database every day as files to HDFS
you want each of you input files processed by a single map task. How do you
you want each of your input files processed by
You want to count the number of occurrences for each unique word in the supplied input data.
Your client application submits a MapReduce job to your Hadoop
your mapper needs to lead a 512 MB data file in memory.

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You need a distributed, scalable, data Store that allows you random, realtime read/write access to hundreds of terabytes of data. Which of the following would you use?

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A. Oozie B. Sqoop C. Flume D. Hadoop Str Answer: D
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Given a directory of files with the following structure: line number, tab character, string: Example: abialkjfjkaoasdfjksdlkjhqweroij kadf jhuwqounahagtnbvaswslmnbfgy kjfteiomndscxeqalkzhtopedkfslkj You want to send each line as one record to your Mapper. Which InputFormat would you use to complete the line: setInputFormat (________.class);

A. BDBInputFormat B. KeyValueTextInputFormat C. SequenceFileInputFormat D. SequenceFileAsTextInputFormat Answer: C
In a MapReduce job, you want each of you input files processed by a single map task. How do you configure a MapReduce job so that a single map task processes each input file regardless of how many blocks the input file occupies?

A. Increase the parameter that controls minimum split size in the job configuration. B. Write a custom MapRunner that iterates over all ke...
Can a custom type for data Map-Reduce processing be implemented?

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