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Mastering Artificial Intelligence: Course Introduction

Total questions: 49

Worksheet time: 25mins

Name
Class
Date
1.

Which statement best captures the course structure described in the slide?

(a)  

2.

Which pillar emphasizes skills like prompt engineering and working with large language models?

a)

Technical Mastery pillar

b)

Foundational Understanding pillar

c)

Responsible AI Usage pillar

d)

Practical Applications pillar

3.

Select all pillars that directly focus on applying AI in real-world contexts.

a)

Foundational Understanding: concepts and evolution

b)

Technical Mastery: LLMs and generative techniques

c)

Practical Applications: roles and daily life

d)

Responsible AI Usage: limitations and implications

4.

Which topic is most aligned with Responsible AI Usage in this course?

a)

Designing new loss functions for vision models

b)

Understanding limitations, precautions, implications

c)

Optimizing transformer architectures for speed

d)

Configuring cloud GPUs for model training

5.

Which description best captures artificial intelligence in the context of these foundation modules?

a)

Systems that mimic human cognition and decision-making

b)

Mathematical theories unrelated to practical applications

c)

Any software that runs on modern computers and phones

d)

Only robotics hardware with mechanical actuators and sensors

6.

Which core principle is central to AI as introduced here?

a)

Learning from data to improve performance over time

b)

Manually coding every rule for all possible scenarios

c)

Relying on faster hardware without algorithms

d)

Avoiding real-world deployment to prevent bias

7.

Which statement aligns with the historical evolution highlighted from Alan Turing to the present?

a)

Conceptual foundations leading to practical breakthroughs over decades

b)

Instant development of fully autonomous systems in one decade

c)

Decline of AI interest after early experiments by Turing

d)

Strict focus on hardware with no algorithmic progress

8.

Which pair best represents real-world AI applications emphasized in the modules?

a)

Medical imaging diagnostics and fraud detection

b)

Web page styling and static site generation

c)

File compression utilities and disk defragmentation

d)

Traffic forecasting and personalized recommendations

9.

In the illustration, a robotic hand reaches toward a human hand. What concept does this imagery most likely convey for Module 1?

a)

Isolation of AI from everyday digital products

b)

Mechanical engineering of industrial robots only

c)

Replacement of all human tasks by automation

d)

Human–AI interaction and collaborative systems

10.

The stacked evolution of computing devices in the right image suggests which trend in AI history?

a)

Single breakthrough replacing all prior methods

b)

Uniform hardware with no effect on AI capabilities

c)

Abrupt abandonment of AI research due to failures

d)

Progressive advances in computing enabling practical AI

11.

Which practice best embodies prompt engineering when interacting with AI systems?

a)

Selecting a higher temperature value

b)

Deploying a larger GPU cluster

c)

Writing clear, specific instructions

d)

Adding more training data files

12.

Which items are core topics within prompt engineering skills?

a)

Iterative refinement strategies

b)

Context optimization techniques

c)

Neural architecture search

d)

Hardware driver configuration

13.

Large Language Models primarily excel at which capability?

a)

Managing database transactions

b)

Rendering 3D graphics in real time

c)

Processing and generating language

d)

Compiling low-level machine code

14.

When choosing an LLM for a task, which considerations are most relevant?

a)

Training and capabilities

b)

Model selection for tasks

c)

Manufacturer brand logo

d)

Laptop screen refresh rate

15.

Generative AI is best described as systems that can create which types of outputs?

a)

Exclusively numerical forecasts

b)

Only structured SQL tables

c)

Text, images, audio, and video

d)

Just encrypted network packets

16.

Which steps commonly appear in content generation workflows using generative AI?

a)

Manual bytecode editing

b)

Prompting with constraints

c)

Draft creation and iteration

d)

Soldering circuit components

17.

What is a realistic benefit of multi‑modal AI applications?

a)

Combining text and visuals for richer outputs

b)

Eliminating all data privacy concerns

c)

Replacing all human creativity entirely

d)

Guaranteeing zero hallucinations

18.

Which approach helps unlock more creative possibilities with AI while maintaining control?

a)

Use random prompts without goals

b)

Iteratively refine prompts with feedback

c)

Ignore context and constraints

d)

Disable all model parameters

19.

Which AI capability primarily supports students with tailored guidance and tutoring?

a)

Marketing optimisation and campaign targeting

b)

Personalised study assistance and tutoring

c)

Automated grading and rubric feedback

d)

Content scheduling and audience analytics

20.

Select all AI uses that directly help students manage coursework and time.

a)

Language learning and translation tools

b)

Research and information synthesis

c)

Assignment planning and time management

d)

Automate operations and logistics workflows

21.

A teacher wants quicker assessment cycles with consistent comments. Which AI feature fits best?

a)

Audience engagement analytics

b)

Language learning and translation tools

c)

Research and information synthesis

d)

Automated grading and feedback systems

22.

Which pair best describes AI’s value to teachers planning instruction?

a)

Time tracking and payroll automation

b)

Customer data analysis and segmentation

c)

Curriculum development and lesson planning

d)

Idea generation and content scheduling

23.

Choose the benefits AI brings to business owners, according to the material.

a)

Create engaging educational content

b)

Personalised study assistance for learners

c)

Analyse customer data to inform decisions

d)

Automate operations to boost productivity

24.

Which statement best captures the theme: “AI isn’t replacing professionals”?

a)

AI only helps with translation tasks

b)

AI fully automates all creative work

c)

AI eliminates the need for human teachers

d)

AI empowers smarter, faster, more creative work

25.

Which student-focused capability most helps when synthesising sources into concise notes?

a)

Lesson planning and curriculum development

b)

Marketing optimisation and segmentation

c)

Research and information synthesis

d)

Audience engagement analytics

26.

Differentiate instruction for diverse learners is listed under which module?

a)

AI for Students

b)

AI for Teachers

c)

AI for Creators

d)

AI for Business Owners

27.

Match each role to the most relevant AI outcome.

a)

Students — assignment planning

b)

Teachers — automated grading

c)

Business owners — optimise marketing

d)

Creators — schedule posts

28.

Which combination reflects AI’s contribution to business decision-making?

a)

Personalised tutoring and study guidance

b)

Analyse customer data and enhance decisions

c)

Language learning aids and translation tools

d)

Creating engaging educational content pieces

29.

Which AI capability most directly reduces electricity use in a smart home?

a)

Voice reminders about schedules

b)

Automated routines for chores

c)

Entertainment content suggestions

d)

Energy optimisation algorithms

30.

Select the features typically included in AI-powered personal finance apps.

a)

Smart thermostat control

b)

Expense categorisation

c)

Automated investment advice

d)

Budget tracking tools

31.

A user wants morning wake-up automation and evening media suggestions. Which AI integration describes this scenario?

a)

Edge GPU acceleration

b)

Daily routine integration

c)

Network intrusion detection

d)

Industrial robotics scheduling

32.

Which pair correctly matches AI domain to example functionality?

a)

Health & wellness — nutrition planning

b)

Personal finance — expense categorisation

c)

Smart home — voice assistants

d)

Smart home — stock portfolio rebalancing

33.

What is the primary benefit of automated routines in smart homes?

a)

Manual control for each device

b)

Consistent task execution

c)

Randomised lighting schedules

d)

Offline-only operation

34.

Which scenario best illustrates an AI accuracy challenge that requires user verification?

a)

AI provides a list of open-source licenses verbatim

b)

AI outputs raw sensor readings with no formatting

c)

AI declines to answer due to missing training data

d)

AI returns plausible dates for an event without sources

35.

What is meant by AI’s lack of true understanding?

a)

It cannot translate languages beyond basic phrases

b)

It cannot store long-term memory persistently

c)

It recognizes patterns without comprehending human meaning

d)

It fails to run algorithms on high-dimensional data

36.

Which practice best mitigates algorithmic bias in AI systems?

a)

Limit outputs to numeric values only

b)

Disable user feedback mechanisms

c)

Increase model parameter count only

d)

Use diverse, audited training datasets

37.

A team plans to publish AI-generated health advice. Which precaution is most critical before release?

a)

Cross-check facts with reliable medical sources

b)

Increase temperature to enhance creativity

c)

Disable logging to reduce compute cost

d)

Remove all citations from the content

38.

Which actions protect user privacy when interacting with AI tools?

a)

Embed personal identifiers in prompts for context

b)

Use encrypted channels for sensitive queries

c)

Store raw customer records in public datasets

d)

Avoid sharing passwords or confidential data

39.

Human oversight in responsible AI primarily involves which activity?

a)

Let models self-correct without intervention

b)

Automate approvals for faster deployment

c)

Ignore domain experts to reduce bias

d)

Review and edit AI outputs before important decisions

40.

Which statement reflects a common misconception about AI reliability?

a)

AI models can encode bias from training data

b)

User privacy can be impacted by data sharing

c)

AI outputs are absolute truth and need no verification

d)

AI-generated content may be plausible yet incorrect

41.

Respecting intellectual property when using AI-generated content primarily means what?

a)

Use content commercially without review

b)

Publish anonymously to avoid liability

c)

Assume fair use covers all AI outputs

d)

Understand copyright and provide proper attribution

42.

Which combined set of practices best embodies responsible AI usage?

a)

Evaluate ethical impacts before deployment

b)

Maintain human oversight of outputs

c)

Verify information with reliable sources

d)

Share sensitive data for richer responses

43.

Which development best characterizes advanced AI capabilities in the near term?

a)

Stronger multi‑modal processing across inputs

b)

Exclusive focus on single‑task automation only

c)

Reduced personalisation to avoid adaptation

d)

Less emphasis on reasoning and planning

44.

What outcomes are expected from wider AI accessibility? Select all that apply.

a)

Distribution limited to high‑income regions

b)

Tools usable across diverse industries globally

c)

AI available only to research labs

d)

Support for individual users worldwide

45.

Which statements align with ethical frameworks for AI?

a)

Eliminating accountability mechanisms entirely

b)

Prioritising speed over safety and fairness

c)

Unrestricted deployment without oversight

d)

Regulations to ensure responsible development

46.

You are designing a multi‑modal assistant. Which feature most directly leverages improved reasoning within multi‑modal AI?

a)

Restricting input to text transcripts only

b)

Separating each modality into isolated silos

c)

Integrating text, image, and audio for decisions

d)

Randomly choosing outputs without context

47.

Which emerging trend is expected to enhance AI's role in healthcare?

a)

Integration of AI with wearable health devices

b)

Focus solely on administrative tasks

c)

Reduction of patient data collection

d)

Limiting AI applications to diagnostics only

48.

What is a significant challenge in ensuring AI fairness?

a)

Over-reliance on historical data without context

b)

Exclusively using synthetic data for training

c)

Uniform data collection methods across all demographics

d)

Immediate deployment without testing

49.

Which AI application is most beneficial for enhancing user experience in e-commerce?

a)

Static promotional content

b)

Basic search functionality

c)

Personalized product recommendations

d)

Automated inventory management systems