
BigData Quiz-1

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Education
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University
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Medium
K Rathi
Used 3+ times
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35 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a MapReduce job, which of the following represents the input data format?
SequenceFile
TextFile
CSVFile
SequenceFile and TextFile
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is the default input format used in MapReduce for reading text files?
KeyValueTextInputFormat
TextInputFormat
SequenceFileInputFormat
NullInputFormat
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a major limitation of traditional relational database management systems (RDBMS) when handling big data?
High scalability
Difficulty in handling unstructured data
Support for distributed processing
Efficient data storage
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary challenge of scaling traditional relational databases for big data processing?
They rely on a single server for processing and storage
They do not support indexing mechanisms
They do not handle data transactions well
They are difficult to manage due to distributed architecture
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one major issue with traditional systems when dealing with large volumes of data in a fast-paced environment?
Slow response times due to centralized storage
High cost of storage
Lack of data redundancy
Poor performance on small datasets
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which statement best describes the difference between Hadoop and RDBMS in terms of scalability?
RDBMS supports horizontal scalability while Hadoop supports vertical scalability
Hadoop supports horizontal scalability, while RDBMS supports vertical scalability
Both support horizontal scalability
Both support vertical scalability
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a key difference between Hadoop and traditional RDBMS in terms of data storage?
Hadoop stores data in tables, whereas RDBMS stores data as files
RDBMS uses distributed storage, while Hadoop uses a single storage system
Hadoop uses HDFS for distributed storage, while RDBMS uses a single-node system
Hadoop stores structured data, while RDBMS stores unstructured data
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