Cloudera Hadoop Developer Certification Questions and Answer (Dumps and Practice Questions)
Question : What are sequence files and why are they important?
1. Sequence files are a type of the file in the Hadoop framework that allow data to be sorted
2. Sequence files are binary format files that are compressed and are splitable.
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4. All of the above
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Hadoop is able to split data between different nodes gracefully while keeping data compressed. The sequence files have special markers that allow data to be split across entire cluster
The sequence file format supported by Hadoop breaks a file into blocks and then optionally compresses the blocks in a splittable way
It is also worth noting that, internally, the temporary outputs of maps are stored using SequenceFile. The SequenceFile provides a Writer, Reader and Sorter classes for writing, reading and sorting respectively.
SequenceFiles are flat files consisting of binary key value pairs. And that are compressed and are splitable.
Essentially there are 3 different formats for SequenceFiles depending on the CompressionType specified
It is extensively used in MapReduce as input/output formats. It is also worth noting that, internally; the temporary outputs of maps are stored using SequenceFile.
The SequenceFile provides a Writer, Reader and Sorter classes for writing, reading and sorting respectively.
SequenceFiles are flat files consisting of binary key value pairs. And that are compressed and are splitable.
Essentially there are 3 different formats for SequenceFiles depending on the CompressionType specified
It is extensively used in MapReduce as input/output formats. It is also worth noting that, internally, the temporary outputs of maps are stored using SequenceFile.
The SequenceFile provides a Writer, Reader and Sorter classes for writing, reading and sorting respectively.
Question : How can you use binary data in MapReduce?
1. Binary data cannot be used by Hadoop fremework.
2. Binary data can be used directly by a map-reduce job. Often binary data is added to a sequence file
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4. Hadoop can freely use binary files with map-reduce jobs so long as the files have headers
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Binary data can be packaged in sequence files. Hadoop cluster does not work very well with large numbers of small files. Therefore, small files should be combined into bigger ones..
Question : What is HIVE?
1. HIVE is part of the Apache Hadoop project that enables in-memory analysis of real-time streams of data
2. Hive is a way to add data from local file system to HDFS
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4. Hive is a part of the Apache Hadoop project that provides SQL like interface for data processing
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Hive is a project initially developed by facebook specifically for people with very strong SQL skills and not very strong Java skills who want to query data in Hadoop
Related Questions
Question :
You have following data in a hive table
ID:INT,COLOR:TEXT,WIDTH:INT
1,green,190
2,blue,300
3,yellow,299
4,blue,199
5,green,199
6,yellow,299
7,green,799
Select the correct MapReduce program which can produce the output similar to below
Hive Query(Assuming single reducer).
Select distinct color,width from table;
1. 1
2. 2
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4. 4
Question : You have following data in a hive table
ID:INT,COLOR:TEXT,WIDTH:INT
1,green,190
2,blue,300
3,yellow,299
4,blue,199
5,green,199
6,yellow,299
7,green,799
Select the correct MapReduce program which can produce the output similar to below Hive Query.
Select color,width from table SORT BY width ASC;
1. 1
2. 2
3. Access Mostly Uused Products by 50000+ Subscribers
Question :
You have following data in a hive table
ID:INT,COLOR:TEXT,WIDTH:INT
1,green,190
2,blue,300
3,yellow,299
4,blue,199
5,green,199
6,yellow,299
7,green,799
Select the correct MapReduce program which can produce the output similar to below Hive Query.
Select color,width from table SORT BY width DESC;
1. 1
2. 2
3. Access Mostly Uused Products by 50000+ Subscribers
4. 4
Question :
You have following data in a hive table
ID:INT,COLOR:TEXT,WIDTH:INT
1,green,190
2,blue,300
3,yellow,299
4,blue,199
5,green,199
6,yellow,299
7,green,799
Select the correct MapReduce program which can produce the output similar to below Hive Query.
Select color,width from table SORT BY color ASC, width DESC;
1. 1
2. 2
3. Access Mostly Uused Products by 50000+ Subscribers
Question :
You have following data in a hive table
ID:INT,COLOR:TEXT,WIDTH:INT
1,green,190
2,blue,300
3,yellow,299
4,blue,199
5,green,199
6,yellow,299
7,green,799
Select the correct MapReduce program which can produce the output similar to below Hive Query.
Select color,width from table SORT BY color DESC, width ASC;
1. 1
2. 2
3. Access Mostly Uused Products by 50000+ Subscribers
Question :
You have following data in a hive table
ID:INT,COLOR:TEXT,WIDTH:INT
1,green,190
2,blue,300
3,yellow,299
4,blue,199
5,green,199
6,yellow,299
7,green,799
Select the correct MapReduce program which can produce the output similar to below Hive Query.
Select color,width from table SORT BY color DESC, width ASC LIMIT 5;
1. 1
2. 2
3. Access Mostly Uused Products by 50000+ Subscribers