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Data Analytics and Artificial Intelligence Quiz

Total questions: 20

Worksheet time: 20mins

Name
Class
Date
1.

Which of the following is an example of descriptive analytics in the context of Indian e-commerce?

a)

Predicting customer churn

b)

Identifying best-selling products

c)

Recommending products to customers

d)

Optimizing supply chain logistics

2.

In the data analytics process, what comes after data collection and preparation?

a)

Data visualization

b)

Predictive modeling

c)

Data cleansing

d)

Business decision-making

3.

What does "GPT" stand for in the context of generative AI?

a)

Global Productive Technology

b)

Generative Pre-training Transformer

c)

General Purpose Terminal

d)

Global Pattern Text

4.

What is the Internet of Things (IoT) primarily focused on?

a)

Networking infrastructure

b)

Human interaction with technology

c)

Interconnectivity of devices and objects

d)

Data storage solutions

5.

Which of the following capabilities is associated with GPT-3?

a)

Predicting stock market trends

b)

Generating human-like text

c)

Autonomous driving

d)

Medical diagnosis

6.

Which of the following is a potential challenge when implementing business analytics in Indian small businesses?

a)

Lack of data availability

b)

Overabundance of high-quality data

c)

Skilled analytics professionals

d)

Minimal competition

7.

What distinguishes artificial intelligence (AI) from machine learning (ML)?

a)

AI is only used in robotics.

b)

ML is a subset of AI.

c)

AI and ML are interchangeable terms.

d)

AI refers to human intelligence, while ML is computer-based.

8.

What ethical concerns might arise when using generative AI like GPT-3 for content generation or customer service in India?

a)

Discrimination and bias in generated content

b)

Inadequate training data for AI models

c)

Improved user experience and engagement

d)

Effective utilization of machine learning algorithms

9.

True or False: KPIs (Key Performance Indicators) are exclusively financial metrics.

4 lines
10.

True or False: Business analytics is only relevant for large corporations, not small businesses.

4 lines
11.

True or False: Blockchain is primarily used for digital currency transactions.

4 lines
12.

True or False : Artificial intelligence (AI) and machine learning (ML) are interchangeable terms, referring to the same concept.

4 lines
13.

True/False:Business Intelligence tools are primarily used for data storage and database management.

4 lines
14.

A retail company aims to track and analyze sales data from multiple stores. Which BI tool would be most suitable for this scenario, providing real-time insights into sales performance?

a)

Power BI

b)

Hadoop

c)

QlikView

d)

Google Analytics

15.

What is the primary goal of customer segmentation in marketing?

a)

To increase overall customer numbers

b)

To identify and target specific customer groups

c)

To maximize customer loyalty

d)

To reduce marketing expenses

16.

A data analytics company discovers that their predictive model contains a bias that disproportionately impacts a certain demographic group. What should the company prioritize in response?

a)

Maximizing profitability

b)

Maintaining the status quo

c)

Mitigating bias and ensuring fairness

d)

Ignoring the issue

17.

An Indian tech startup leverages blockchain technology to create secure supply chain solutions. What potential benefits can they expect?

a)

Reduced cybersecurity threats

b)

Improved data storage

c)

Enhanced transparency and trust

d)

Faster internet speeds

18.

If you were a tech startup founder in India, which mythical creature might inspire your innovative ideas?

a)

Unicorn

b)

Dragon

c)

Griffin

d)

Yeti

19.

Which of the following is not a primary phase in the data analytics process?

a)

Data collection

b)

Data cleansing

c)

Data storage

d)

Data visualization

20.

In the context of AI language models, what is prompt engineering?

a)

Crafting effective and specific input queries

b)

Designing creative advertisements

c)

Building robots that can follow spoken commands

d)

Creating AI personalities for virtual assistants