Big Data Analytics (2180710) MCQs

MCQs of Introduction to big data

Showing 1 to 10 out of 19 Questions
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1.
What are the main components of Big Data?
(a) MapReduce
(b) HDFS
(c) YARN
(d) All of these
Answer:

Option (d)

2.
What are the different features of Big Data Analytics?
(a) Open-Source
(b) Scalability
(c) Data Recovery
(d) All the above
Answer:

Option (d)

3.
According to analysts, for what can traditional IT systems provide a foundation when they’re integrated with big data technologies like Hadoop?
(a) Big data management and data mining
(b) Data warehousing and business intelligence
(c) Management of Hadoop clusters
(d) Collecting and storing unstructured data
Answer:

Option (a)

4.
What are the four V’s of Big Data?
(a) Volume
(b) Velocity
(c) Variety
(d) All the above
Answer:

Option (d)

5.
All of the following accurately describe Hadoop, EXCEPT:
(a) Open-source
(b) Real-time
(c) Java-based
(d) Distributed computing approach
Answer:

Option (b)

6.
___________ is general-purpose computing model and runtime system for distributed data analytics.
(a) Mapreduce
(b) Drill
(c) Oozie
(d) None of the above
Answer:

Option (a)

7.
The examination of large amounts of data to see what patterns or other useful information can be found is known as
(a) Data examination
(b) Information analysis
(c) Big data analytics
(d) Data analysis
Answer:

Option (c)

8.
Big data analysis does the following except
(a) Collects data
(b) Spreads data
(c) Organizes data
(d) Analyzes data
Answer:

Option (b)

9.
What makes Big Data analysis difficult to optimize?
(a) Big Data is not difficult to optimize
(b) Both data and cost effective ways to mine data to make business sense out of it
(c) The technology to mine data
(d) All of the above
Answer:

Option (b)

10.
The new source of big data that will trigger a Big Data revolution in the years to come is
(a) Business transactions
(b) Social media
(c) Transactional data and sensor data
(d) RDBMS
Answer:

Option (c)

Showing 1 to 10 out of 19 Questions
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