Big Data Analytics Applications: Unlocking Value from Data

Question 1

Which characteristic is NOT a defining feature of big data, distinguishing it from traditional data types?

Accepted Answer

Durability

Answer

Volume

Answer

Velocity

Answer

Variety

Question 2

In healthcare, how does big data analytics contribute to better patient care?

Accepted Answer

It enables personalized treatment plans by predicting disease risks and providing tailored recommendations based on patient data analysis.

Answer

It helps manage and organize healthcare-related data.

Answer

It has no significant impact on reducing healthcare costs.

Answer

It solely focuses on diagnosing and treating individual patients.

Question 3

Which of the following is a potential disadvantage of using big data analytics in healthcare?

Accepted Answer

Increased risk of data breaches

Answer

Improved patient outcomes

Answer

Reduced healthcare costs

Answer

Increased patient satisfaction

Question 4

In big data analytics, which ethical consideration is crucial?

Accepted Answer

Transparency in data handling

Answer

Profit maximization

Answer

Ignoring algorithm bias

Answer

Disregarding privacy concerns

Question 5

What is a defining characteristic of big data analytics?

Accepted Answer

It is characterized by volume, variety, and velocity.

Answer

It only deals with structured data.

Answer

Its volume is always limited.

Answer

It can be easily analyzed using traditional tools.

Question 6

Which of the following is NOT a key characteristic of big data?

Accepted Answer

Accuracy

Answer

Volume

Answer

Variety

Answer

Velocity

Question 7

Before drawing conclusions from data analysis, which crucial step must be thoroughly completed?

Accepted Answer

Cleaning Data

Answer

Collecting Data

Answer

Analyzing Data

Answer

Visualizing Data

Question 8

Which of the following is a key characteristic of big data?

Accepted Answer

Massive volume

Accepted Answer

Wide variety of data types

Answer

High accuracy

Answer

Restricted accessibility

Question 9

Which of the following is NOT a defining attribute of big data?

Accepted Answer

Causality

Answer

Volume

Answer

Variety

Answer

Velocity

Question 10

In big data analytics, which ethical concern is of primary importance and can lead to unfair or biased outcomes?

Accepted Answer

Data bias

Answer

Data privacy

Answer

Data accuracy

Answer

Data security

Question 11

Which characteristic of big data refers to the range of different data types it encompasses?

Accepted Answer

Variety

Answer

Volume

Answer

Velocity

Answer

Veracity

Question 12

Which of the following applications of big data analytics in healthcare is NOT typical?

Accepted Answer

Optimizing supply chain management

Answer

Predicting disease outbreaks

Answer

Developing personalized treatment plans

Answer

Identifying fraudulent insurance claims

Question 13

Which of the following is NOT an inherent characteristic of big data?

Accepted Answer

Inaccuracy

Answer

Volume

Answer

Velocity

Answer

Variety

Question 14

Which of the following is a key characteristic of big data that is **not** related to its size or the speed at which it is generated?

Accepted Answer

Veracity

Answer

Volume

Answer

Variety

Answer

Velocity

Question 15

What is a defining characteristic of big data?

Accepted Answer

Volume, speed, and diversity

Answer

High precision

Answer

Immediate accessibility

Question 16

Which of the following is a potential concern associated with using artificial intelligence (AI) in big data analytics?

Accepted Answer

Increased risk of bias and discrimination

Answer

Enhanced data processing and analysis

Answer

Identification of patterns and trends

Answer

Automated decision-making and prediction

Question 17

In the healthcare sector, which of the following is an uncommon application of big data analytics?

Accepted Answer

Detecting and preventing insurance fraud

Answer

Predicting disease risks using predictive analytics

Answer

Tailoring treatment plans to individuals (personalized medicine)

Answer

Managing population health

Question 18

In healthcare, which application of big data analytics focuses on preventing illnesses by predicting disease outbreaks and identifying vulnerable populations?

Accepted Answer

Predicting disease outbreaks and identifying high-risk populations

Answer

Storing and managing electronic health records

Answer

Creating personalized treatment plans for individual patients

Question 19

Which of the following is a potential downside of big data analytics?

Accepted Answer

Job loss

Answer

Improved decision-making

Answer

Cost reduction

Answer

New product development

Question 20

Which industry leverages big data analytics to optimize energy consumption, enhance operational efficiency, and improve customer satisfaction?

Accepted Answer

Utilities

Answer

Retail

Answer

Healthcare

Question 21

Which type of big data analytics primarily focuses on leveraging data to forecast future trends, patterns, and occurrences using historical and real-time data?

Accepted Answer

Predictive analytics

Answer

Descriptive analytics

Answer

Diagnostic analytics

Answer

Prescriptive analytics

Question 22

In the field of big data analytics, which tool is specifically designed to manage and analyze vast, potentially dispersed datasets?

Accepted Answer

Apache Hadoop

Answer

Linear Regression

Answer

Microsoft Excel

Answer

Tableau

Question 23

Which of the following is a potential drawback of big data analytics?

Accepted Answer

Privacy concerns

Answer

Enhanced decision-making

Answer

Reduced operational costs

Answer

Increased revenue generation

Question 24

In big data analytics, which term encompasses the diverse range of data formats, types, and sources encountered in real-world applications?

Accepted Answer

Variety

Answer

Volume

Answer

Velocity

Question 25

In big data analytics, which challenge is particularly concerning due to the handling of large amounts of sensitive data?

Accepted Answer

Data privacy and security

Answer

Data integration

Answer

Data visualization

Answer

Data storage

Question 26

Which of the '4Vs' characteristics of big data refers to its diverse types, formats, and sources?

Accepted Answer

Variety

Answer

Volume

Answer

Velocity

Answer

Veracity

Question 27

In which industry has big data analytics been effectively utilized to enhance product recommendations and boost customer satisfaction?

Accepted Answer

Retail

Answer

Healthcare

Answer

Finance

Answer

Education

Question 28

Which of the '4Vs' characteristics of big data refers to the massive amount of data being handled?

Accepted Answer

Volume

Answer

Veracity

Answer

Velocity

Question 29

Which application of big data analytics uses purchase history and social media preferences to predict consumer behavior?

Accepted Answer

Personalized marketing

Answer

Fraud detection

Answer

Risk assessment

Answer

Predictive maintenance

Question 30

Discuss the ethical concerns posed by algorithmic bias in big data analytics and suggest measures to minimize its negative impacts.

Accepted Answer

Strategies to mitigate algorithmic bias include using more diverse training data, enforcing fairness constraints, and involving human oversight.

Answer

Algorithmic bias is not a major concern as long as the algorithms are designed by ethical individuals.

Answer

The only way to eliminate algorithmic bias is to completely avoid using big data analytics.

Question 31

In the manufacturing industry, which big data analytics application is crucial for boosting operational efficiency and customer satisfaction?

Accepted Answer

Predictive maintenance to prevent downtime and lower costs.

Answer

Personalized product suggestions to boost sales revenue.

Answer

Fraud detection to safeguard against financial losses.

Answer

Sentiment analysis of social media data to track brand reputation.

Question 32

In big data analytics, what is a major challenge encountered during data integration and interoperability?

Accepted Answer

Heterogeneity of data

Answer

Volume of data

Answer

Quality of data

Question 33

In which scenario would clustering, a big data analytics technique, be most useful?

Accepted Answer

Identifying customer groups with similar buying patterns

Answer

Predicting the likelihood of a loan default

Answer

Forecasting future sales based on past data

Answer

Detecting fraudulent transactions in a large dataset

Question 34

How does big data analytics enhance supply chain efficiency and minimize waste across industries?

Accepted Answer

Optimizes inventory management and reduces spoilage, minimizing waste.

Answer

Exclusively used for predictive analytics in supply chain management.

Answer

Has no impact on supply chain sustainability.

Answer

Can only be effectively applied to large-scale supply chains.

Question 35

How can big data analytics be used to enhance personalized education and improve student learning outcomes?

Accepted Answer

Identify student learning styles, strengths, and weaknesses through data analysis, enabling customized educational experiences.

Answer

Track attendance and grades only, without the ability to enhance learning outcomes.

Answer

Raise significant privacy concerns and should not be used to personalize learning.

Question 36

Evaluate the potential of big data analytics to enhance public policy and decision-making. Discuss its benefits and challenges in areas like education, healthcare, and transportation.

Accepted Answer

Big data analytics provides valuable insights for policy decisions, but raises concerns about privacy and bias.

Answer

Big data analytics has limited use in public policy due to its complexity and difficulty in interpretation.

Answer

Big data analytics should be limited to private companies and not used in public policy.

Answer

Big data analytics is ethically neutral and can be used without considering privacy or bias.

Question 37

What is a primary advantage of using big data analytics in supply chain management?

Accepted Answer

Improved inventory optimization

Answer

Increased customer loyalty

Answer

Reduced marketing costs

Answer

Enhanced employee productivity

Question 38

What is the primary purpose of data visualization in big data analytics?

Accepted Answer

Communicating insights and patterns to stakeholders

Answer

Automating data preprocessing tasks

Answer

Building machine learning models

Answer

Storing and managing large datasets

Question 39

Which of the following technologies is commonly used for distributed data processing in big data analytics?

Accepted Answer

MapReduce

Answer

Relational databases

Answer

Cloud computing platforms

Answer

Data mining tools

Question 40

What is a key application of anomaly detection in big data analytics?

Accepted Answer

Identifying fraudulent transactions

Answer

Segmenting customers based on behavior

Answer

Optimizing marketing campaigns

Answer

Predicting future stock prices

Question 41

What is the main distinction between descriptive and predictive analytics?

Accepted Answer

Descriptive analytics summarize past data, while predictive analytics forecast future events.

Answer

Predictive analytics summarize past data, while descriptive analytics forecast future events.

Answer

They both summarize past data and forecast future events.

Answer

Descriptive analytics are more complex than predictive analytics.

Question 42

In real-time big data analytics, what poses a major challenge?

Accepted Answer

Dealing with data delays

Answer

Ensuring data accuracy

Answer

Managing data storage capacity

Question 43

Identify the characteristic that is NOT a key attribute of big data.

Accepted Answer

Accuracy

Answer

Volume

Answer

Velocity

Answer

Variety

Question 44

In the context of big data analytics, what is the process of transforming raw data into a usable format known as?

Accepted Answer

Data wrangling

Answer

Machine learning

Answer

Data mining

Answer

Data visualization

Question 45

Which of the following is a primary application of big data analytics in the healthcare sector?

Accepted Answer

Personalized medicine and disease prediction

Answer

Analysis of patient feedback

Answer

Detection of fraudulent insurance claims

Answer

Tailored health recommendations

Question 46

Which approach is most appropriate for handling unstructured data in big data analytics?

Accepted Answer

Natural Language Processing (NLP)

Answer

Database Management Systems (DBMS)

Answer

Spreadsheet Analysis

Answer

Relational Database Queries

Question 47

In the context of big data technology, what is the primary role of Hadoop?

Accepted Answer

Data storage and processing

Answer

Data visualization and reporting

Answer

Machine learning model development

Answer

Cloud computing resource management

Question 48

Which industry is a prominent adopter of big data analytics for customer relationship management (CRM)?

Accepted Answer

Retail and E-commerce

Answer

Banking and Finance

Answer

Manufacturing

Answer

Transportation

Question 49

Which of the following is a key characteristic that distinguishes big data from traditional data?

Accepted Answer

Velocity

Answer

Scalability

Answer

Accuracy

Answer

Determinism

Question 50

In the context of big data analytics, what is the primary purpose of data visualization?

Accepted Answer

Communicating complex data insights effectively

Answer

Identifying patterns and trends

Answer

Training machine learning models

Answer

Ensuring data integrity

Question 51

How does data governance ensure the accuracy, consistency, and reliability of big data for analytics?

Accepted Answer

Establishes data quality standards and ensures adherence.

Answer

Provides a centralized repository for all data assets.

Answer

Automates data cleansing and transformation tasks.

Answer

Eliminates the requirement for data validation and verification.

Question 52

In Big Data Analytics, which technique is used to uncover patterns and relationships in large datasets?

Accepted Answer

Machine Learning

Answer

Data Preprocessing

Answer

Data Visualization

Question 53

Which property is NOT a key characteristic of big data?

Accepted Answer

Accuracy

Answer

Volume

Answer

Variety

Answer

Velocity

Question 54

In big data analytics, what is a key limitation of supervised machine learning algorithms?

Accepted Answer

Requiring labeled data

Answer

Making predictions based on labeled data

Answer

Handling large datasets

Answer

Identifying patterns and relationships in data

Question 55

Which of the following is NOT a defining characteristic that sets Big Data apart from traditional data?

Accepted Answer

Structuredness

Answer

Volume

Answer

Velocity

Answer

Variety

Question 56

How does big data analytics affect the job market? Consider both the creation of new roles and the potential displacement of existing ones.

Accepted Answer

Creates more new roles than it displaces

Answer

Creates new roles but eliminates more existing ones

Answer

Has no significant impact on the job market

Answer

Displaces many existing roles but creates few new ones

Question 57

Which of the following is NOT an example of a big data analytics application in healthcare?

Accepted Answer

Weather forecasting

Answer

Disease diagnosis

Answer

Drug discovery

Answer

Personalized treatment planning

Question 58

Which big data analytics technique is best suited for identifying hidden patterns in large datasets?

Accepted Answer

Cluster analysis

Answer

Regression analysis

Answer

Text mining

Question 59

How does big data analytics assist organizations in making better decisions?

Accepted Answer

By providing data-driven insights into complex problems

Answer

By automating all decision-making processes

Answer

By eliminating the need for human interpretation

Question 60

What is a key difference between big data analytics and traditional data analysis?

Accepted Answer

Big data analytics involves larger and more complex datasets, necessitating specialized tools and techniques

Answer

Big data analytics is used exclusively for academic research

Answer

Big data analytics focuses solely on quantitative data

Question 61

What is the primary goal of big data analytics?

Accepted Answer

To derive meaningful insights and make data-informed decisions

Answer

To replace human intelligence in decision-making

Answer

To efficiently store and manage vast amounts of data

Question 62

Which data structure type is commonly employed for storing and processing extensive datasets in big data analytics?

Accepted Answer

Distributed file system

Answer

Linked list

Answer

Relational database

Answer

Array

Question 63

Which platform is specifically designed to manage big data analytics workloads?

Accepted Answer

Hadoop

Answer

.NET Framework

Answer

Java Virtual Machine

Answer

MySQL

Question 64

Which role is responsible for translating business requirements into technical specifications for big data analytics projects?

Accepted Answer

Business analyst

Answer

Project manager

Answer

Data scientist

Answer

Database administrator