Objective
types questions:
1. Write full form of GFS ……………………………………………………………………………….
2. Write full for of HDFS
…………………………………………………………………………………………………………
3. MapReduce is used for big data analysis. (T/F)
4. MapReduce uses parallel computing paradigm. (T/F)
5. BigTable is introduced by Yahoo Inc. (T/F)
6. HBase is introducted by Google Inc. (T/F)
7. DynamoDb is introduced by Amazon. (T/F)
8. Which Relational Operations are used by MapReduce?
A. SQL B.
Relational Algebra C.
Relational Calculus D.
All of the above
9. MapReduce is a
A. Programming model B.
Database model C.
Network model D.
all of the above
10. MapReduce is used by
A. Amazon Inc. B.
Yahoo Inc. C.
Google Inc. D.
Microsoft Inc.
Short
answer type:
1. Explain Parallel computing.
2. Explain batch processing using MapReduce.
3. Describe Cloud development.
4. Explain Google File System
5. Explain Hadoop File System
6. Explain BigTable
7. Explain HBase
8. Explain DynamoDb
9. Draw MapReduce Programming Model
10. How efficiency is concerned with MapReduce?
Long
Answer type:
1. Compare GFS and HDFS.
2. Differentiate among BigTable, HBase and DynamoDb.
3. Explain in bried MapReduce and its extension with
parallel efficiency.
4. What are the relational operations provided by MapReduce?
5. Short note:
a.
Relation Cloud Database b.
MapReduce c. Cloud Development
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