Big Data MCQ

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Big Data MCQs

Big data is a field that treats ways to analyze systematically extract information from or otherwise deal with data sets. Data can be large or complex to be dealt with by traditional data processing applications software

A large amount of data
It is a popular term used to express the exponential growth of data.
Big data is difficult to store, collect, maintain, analyze and visualize.

Distributed file system: Distributed file system is a file system in which data is stored on a server. The data is accessed and processed as if it were stored on the local client machine.

Characteristics of distributed file system:

Transparency
user mobility
Performance
simplicity and ease of use
Scalability
high availability
high reliability

Big data tools: Apache Hadoop, Apache Storm, Cassandra, Mongo DB, Neo4j.

Big data sources: Amazon, Redshift, Mongo DB

Challenges of big data:

Uncertainty of data management
The talent gap in big data
Getting data into a big data structure
Synchronizing across data sources
Integration

Benefits of big data:

Cost
Time reduction
Speeding up decision making
Analyze in real-time
Model and Test variation

Characteristics of big data:

Volume
Velocity
Variety

Types of big data:

Structured
unstructured
Semi-structured
hybrid

Use cases of big data

Recommendation engine
Analyzing call detail records
Fraud detection
Market basket analysis
sentiment analysis

BIG Data MCQs

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What are the main components of big data?

HDFS

MapReduce

YARN

All of the above

Answer - D) All of the above are the main components of big data.

On which of the following platforms does Hadoop run?

Debian

Cross-platform

Bare metal

Unix-like

Answer - B) Hadoop runs on cross-platform.

Data in ____ bytes size is called big data

Meta

Giga

Tera

Peta

Answer - D) Data in petabyte size is known as big data.

Transaction of data of the bank is a type of.

Unstructured data

Structured data

Both a and b

None of the above

Answer - B) A transaction of data of the bank is structured data.

The total forms of big data is ____

Answer - C) There are three forms of big data- unstructured, structured, and semi-structured.

Identify the incorrect big data Technologies.

Apache Pytorch

Apache Kafka

Apache Hadoop

Apache Spark

Answer - A) Apache PyTorch is incorrect.

In which language is Hadoop written?

C++

Java

Rust

Python

Answer - B) Hadoop is required in Java.

___________ is a collection of data that is used in volume, yet growing exponentially with time

Big Database

Big DBMS

Big Datafile

Big Data

Answer - D) Big data is a collection of data that is used in volume, yet growing exponentially with time.

Identify among the options below which is general-purpose computing model and runtime system for Distributed Data Analytics.

HDFS

MapReduce

Oozie

All of the above

Answer - B) MapReduce Is a general-purpose computing model and runtime system for Distributed Data Analytics.

10.

Choose the primary characteristics of big data among the following

Value

Variety

Volume

All of the above

Answer - D) All of the above are primary characteristics of big data.

11.

Identify whether true or false: Qubole Is a big data tool.

True

False

Answer - A) True. Qubole Is a big data tool.

12.

Choose the languages which are used in data science.

C++

Ruby

Answer - C) R is used in data science.

13.

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

Communication building

Discovery

Operationalize

Model planning

Answer - A) Communication building Is not a part of the data science process

14.

Identify the different features of Big Data Analytics.

Open-source

Data recovery

Scalability

All of the above

Answer - D) All of the above are features of Big Data Analytics.

15.

Total V’s of big data is ____

Answer - C) There are a total of 5 V’s of big data.

16.

Among the following options choose the one which depicts the correct reason why big data analysis is difficult to optimize.

The technology to mine data

Both data and cost-effective ways to mine data to make business sense out of it

Big data is not difficult to optimize

None of the above

Answer - B) Both data and cost-effective ways to mine data to make business sense out of it.

17.

All of the following accurately describe Hadoop, except

Open source

Java-based

Real-time

Distributed computing approach

Answer - C) Hadoop is not a real-time platform.

18.

Which of the following are the Benefits of Big Data Processing?

Businesses can utilize outside intelligence while taking decisions.

Better operational efficiency

Improve customer service

All of the above

Answer - D) All of the above are benefits of big data processing.

19.

Big data analysis does the following except?

Spreads data

Analyze data

Organizes data

Collect data

Answer - b) Big data analysis doesn't analyze data.

20.

Which of the following is true about big data?

Big data can be processed using traditional techniques

Big data refers to data sets that are at least a petabyte in size

Big data analysis does not involve reporting and data mining techniques

Big data has low velocity meaning that it is generated slowly

Answer - B) Big data refers to data sets that are at least of petabyte in size is true.

21.

Which of the following can be generally used to clean and prepare big data.

Pandas

Data lake

U-SQL

Data warehouse

Answer - D) Data warehouse is generally used to clean and prepare big data.

22.

Identify the operation which can be performed in the data warehouse.

Alter

Modify

Scan

Read/write

Answer - C) Scan operation can be performed on the data warehouse.

23.

Among the following options which component deals with ingesting streaming data into Hadoop?

Oozie

Hive

Kafka

Flume

Answer - D) Flume deals with ingesting streaming data into Hadoop.

24.

Among the following option which of the following property gets configured on mapred-site.xml

Java environment variables

Replication factor

Directory names to store hdfs files

Host and port where MapReduce task runs.

Answer - D) Host and Port get configured on mapred-site.xml.

25.

Mapper class is

Static type

Generic type

Abstract type

Final

Answer - B) Mapper class is a generic type.

26.

Among the following which does the Job control in Hadoop?

Task class

Mapper class

Job class

Reducer cass

Answer - C) Job control is handled b the Job class.

27.

Identify the term used to define the multidimensional model of the data warehouse.

Table

Data cube

Tree

Data structure

Answer - B) The multidimensional model of a data warehouse is known as a data cube.

28.

Fixed-size pieces of MapReduce job is known as ________

Splits

Tasks

Maps

Records

Answer - A) Fixed size pieces of MapReduce job is known as splits.

29.

The output of map tasks is written in?

Local disk

File system

HDFS

Secondary storage

Answer - A) The output of map tasks is written in the Local disk.

30.

What is the time horizon in the data warehouse?

3-4 years

5-6 years

5-10 years

1-2 years

Answer - C) The time horizon in the data warehouse is 5-10 years.

31.

Where can the data be updated?

Informational environment

Data warehouse environment

Operational environment

Data mining environment

Answer - C) Data can be updated in an operational environment

32.

Hadoop Common Package contains?

msi files

war files

exe files

jar files

Answer - D) Hadoop Common Package contains jar files.

33.

Small logical units where data warehouses hold large amounts of data is known as _____.

Access layers

Data marts

Data storage

Data miners

Answer - B) Small logical units where data warehouses hold large amounts of data are known as data miners.

34.

Choose the incorrect property of the data warehouse.

Collection from heterogeneous sources

Subject oriented

Time variant

Volatile

Answer - D) Volatile is not a property of the data warehouse.

35.

Identify the slave node among the following.

Job node

Data node

Task node

Name node

Answer - B) Data node is known as the slave node.

36.

What is the source of all data warehouse data known as?

Formal environment

Data warehouse environment

Operational environment

Technology environment

Answer - C) The source of all data warehouse data is known as the Operational environment.

37.

Fact tables are _______

HDFS

MapReduce

YARN

All of the above

Answer - D) All of the above are the main components of big data.

38.

Identify the correct definition of Reconciled data.

Reconcile data is data stored in one operational system in the organization.

Reconcile data is the data that has been selected and formatted for end-user support applications.

Reconcile data is the current data intended to be the single source for all decision support systems

None

Answer - C) Reconcile data is the current data intended to be the single source for all decision support systems.

39.

Identify the node which acts as a checkpoint node in HDFS.

Secondary Name node

Secondary data node

Name node

Data node

Answer - A) Secondary name node acts as a checkpoint node in HDFS.

40.

Identify the most common source of change data in refreshing a data warehouse.

Logged change data

Cooperative change data

Queryable change data

Snapshot change data

Answer - C) Queryable change data is the most common source of change data in accessing a data warehouse.

41.

DSS in data warehouse stands for __________

Decision single system

Decision support system

Data support system

Data storable system

Answer - B) DSS stands for a Decision support system.

42.

________ is data about data.

HDFS

MapReduce

YARN

All of the above

Answer - D) All of the above are the main components of big data.

43.

How many approaches are there in data warehousing to integrate heterogeneous databases?

Answer - A) There all two different approaches to integrating heterogeneous databases - a) query driver approach b) update driven approach.

44.

Identify the correct options which are considered before investing in data mining

Vendor consideration

Functionality

Compatibility

All of the above

Answer - D) All of the above are considered before investing in data mining.

45.

Efficiency and scalability of data mining algorithms" issues come under?

Mining Methodology and User Interaction Issues

Performance Issues

Diverse Data Types Issues

None of the above

Answer - B) Efficiency and scalability of data mining algorithms" issues come underperformance issues.

46.

Identify among the following for which system of data warehousing is mostly used.

Data mining and data storage

Data integration and data storage

Reporting and data analysis

Data cleaning and data storage

Answer - C) System of data warehousing is mostly used for Reporting and data analysis.

47.

What is the use of data cleaning?

To remove the noisy data

Transformations to correct the wrong data.

Correct the inconsistencies in data

All of the above

Answer - D) All of the above are uses of data mining.

48.

What is the minimum amount of data that a disk can read or write in HDFS?

Byte size

Block size

Heap

None of the above

Answer - B) The minimum amount of data that a disk can read or write in HDFS is of block size.

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