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100+ Bigdata Solved MCQs

These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Bachelor of Business Administration in Computer Applications (BBA [CA]) .

Chapters

Chapter: Introduction to Bigdata
1.

Data in ___________ bytes size is called Big Data.

A. Tera
B. Giga
C. Peta
D. Meta
Answer» C. Peta
2.

How many V's of Big Data

A. 2
B. 3
C. 4
D. 5
Answer» D. 5
3.

Transaction data of the bank is?

A. structured data
B. unstructured datat
C. Both A and B
D. None of the above
Answer» A. structured data
4.

In how many forms BigData could be found?

A. 2
B. 3
C. 4
D. 5
Answer» B. 3
5.

Which of the following are Benefits of Big Data Processing?

A. Businesses can utilize outside intelligence while taking decisions
B. Improved customer service
C. Better operational efficiency
D. All of the above
Answer» D. All of the above
6.

Which of the following are incorrect Big Data Technologies?

A. Apache Hadoop
B. Apache Spark
C. Apache Kafka
D. Apache Pytarch
Answer» D. Apache Pytarch
7.

The overall percentage of the world’s total data has been created just within the past two years is ?

A. 80%
B. 85%
C. 90%
D. 95%
Answer» C. 90%
8.

Apache Kafka is an open-source platform that was created by?

A. LinkedIn
B. Facebook
C. Google
D. IBM
Answer» A. LinkedIn
9.

What was Hadoop named after?

A. Creator Doug Cutting’s favorite circus act
B. Cuttings high school rock band
C. The toy elephant of Cutting’s son
D. A sound Cutting’s laptop made during Hadoop development
Answer» C. The toy elephant of Cutting’s son
10.

What are the main components of Big Data?

A. MapReduce
B. HDFS
C. YARN
D. All of the above
Answer» D. All of the above
11.

All of the following accurately describe Hadoop, EXCEPT ____________

A. Open-source
B. Real-time
C. Java-based
D. Distributed computing approach
Answer» B. Real-time
12.

__________ has the world’s largest Hadoop cluster.

A. Apple
B. Datamatics
C. Facebook
D. None of the above
Answer» C. Facebook
13.

Facebook Tackles Big Data With _______ based on Hadoop.

A. Project Prism
B. Prism
C. Project Big
D. Project Data
Answer» A. Project Prism
14.

___________ is general-purpose computing model and runtime system for distributed data analytics.

A. Mapreduce
B. Drill
C. Oozie
D. None of the above
Answer» A. Mapreduce
15.

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» C. Big data analytics
16.

Big data analysis does the following except?

A. Collects data
B. Spreads data
C. Organizes data
D. Analyzes data
Answer» D. Analyzes data
17.

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. None of the above
Answer» B. Both data and cost effective ways to mine data to make business sense out of it
18.

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» C. Transactional data and sensor data
19.

The unit of data that flows through a Flume agent is

A. Log
B. Row
C. Record
D. Event
Answer» D. Event
20.

Listed below are the three steps that are followed to deploy a Big Data Solution except

A. Data Processing
B. Data dissemination
C. Data Storage
D. Data Ingestion
Answer» B. Data dissemination
21.

Who popularized bigdata term?

A. John deere
B. John Mashey
C. johny Mashe
D. Jhon Mash
Answer» B. John Mashey
22.

Numbers ,text, image, audio and video data is ____

A. Volume
B. Value
C. Varity
D. Variety
Answer» D. Variety
23.

Real time data is ______.

A. Field
B. Primary Key
C. unique
D. record
Answer» C. unique
24.

______ is the term that is used to describe data that is high volume , high velocity and /or high variety.

A. Analytics
B. Bigdata
C. Hadoop Data
D. Bigdata analytics
Answer» B. Bigdata
25.

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» A. Big data management and data mining
26.

Point out the wrong statement.

A. Hardtop processing capabilities are huge and its real advantage lies in the ability to process terabytes & petabytes of data
B. Hardtop processing capabilities are huge and its real advantage lies in the ability to process terabytes & petabytes of data
C. The programming model, MapReduce, used by Hadoop is difficult to write and test
D. All of these
Answer» C. The programming model, MapReduce, used by Hadoop is difficult to write and test
27.

__________ can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of data.

A. MapReduce
B. Mahout
C. Oozie
D. All of the mentioned
Answer» A. MapReduce
28.

__________ has the world’s largest Hadoop cluster.

A. Apple
B. Datamatics
C. Facebook
D. None of the mentioned
Answer» C. Facebook
29.

Facebook Tackles Big Data With _______ based on Hadoop.

A. ‘Project Prism’
B. ‘Prism’
C. ‘Project Big’
D. ‘Project Data’
Answer» A. ‘Project Prism’
30.

Data science is the process of diverse set of data through ?

A. organizing data
B. processing data
C. analysing data
D. All of the above
Answer» D. All of the above
31.

The modern conception of data science as an independent discipline is sometimes attributed to?

A. William S.
B. John McCarthy
C. Arthur Samuel
D. Satoshi Nakamoto
Answer» A. William S.
32.

Which of the following language is used in Data science?

A. C
B. C++
C. R
D. Ruby
Answer» C. R
33.

Which of the following is false?

A. Subsetting can be used to select and exclude variables and observations
B. Raw data should be processed only one time.
C. Merging concerns combining datasets on the same observations to produce a result with more variables
D. None Of the above
Answer» B. Raw data should be processed only one time.
34.

What is the work of Data Architect?

A. utilize large data sets to gather information that meets their company's needs
B. work with businesses to determine the best usage of the information yielded from data
C. build data solutions that are optimized for performance and design applications
D. All of the above
Answer» C. build data solutions that are optimized for performance and design applications
35.

Which of the following is correct skills for a Data Scientist?

A. Probability & Statistics
B. Machine Learning / Deep Learning
C. Data Wrangling
D. All of the above
Answer» D. All of the above
36.

Which of the following are correct component for data science?

A. Data Engineering
B. Advanced Computing
C. Domain expertise
D. All of the above
Answer» D. All of the above
37.

Which of the following is not a part of data science process?

A. Discovery
B. Model Planning
C. Communication Building
D. Operationalize
Answer» C. Communication Building
38.

Which of the following are the Data Sources in data science?

A. Structured
B. Unstructured
C. Both A and B
D. None Of the above
Answer» C. Both A and B
39.

Which of the following is not a application for data science?

A. Recommendation Systems
B. Image & Speech Recognition
C. Online Price Comparison
D. Privacy Checker
Answer» D. Privacy Checker
40.

Point out the correct statement.

A. Raw data is original source of data
B. Preprocessed data is original source of data
C. Raw data is the data obtained after processing steps
D. None of the above
Answer» A. Raw data is original source of data
41.

Which of the following is one of the key data science skills?

A. Statistics
B. Machine Learning
C. Data Visualization
D. All of the above
Answer» D. All of the above
42.

Which of the following is a key characteristic of a hacker?

A. Afraid to say they don't know the answer
B. Willing to find answers on their own
C. Not Willing to find answers on their own
D. All of the above
Answer» B. Willing to find answers on their own
43.

Raw data should be processed only one time.

A. True
B. False
C. Can be true or false
D. Can not say
Answer» B. False
44.

Which of the following is the common goal of statistical modelling?

A. Inference
B. Summarizing
C. Subsetting
D. None of the above
Answer» A. Inference
45.

Causal analysis is commonly applied to census data.

A. True
B. False
C. Can be true or false
D. Can not say
Answer» B. False
46.

Which of the following model is usually a gold standard for data analysis?

A. Inferential
B. Descriptive
C. Causal
D. All of the above
Answer» C. Causal
47.

Which of the following is a revision control system?

A. Git
B. Numpy
C. Scipy
D. Slidify
Answer» A. Git
48.

Which of the following step is performed by data scientist after acquiring the data?

A. Data Cleaning
B. Data Integration
C. Data Replication
D. All of the above
Answer» A. Data Cleaning
49.

Which of the following focuses on the discovery of (previously) unknown properties on the data?

A. Data mining
B. BigData
C. Data wrangling
D. Machine Learning
Answer» A. Data mining
Chapter: Introduction to Data Science
50.

Which of the following can be used to create sub–samples using a maximum dissimilarity approach?

A. minDissim
B. maxDissim
C. inmaxDissim
D. All of the Mentioned
Answer» B. maxDissim

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