Unit 1: Introduction to Artificial Intelligence - Practice Quiz

SSC200 — Fundamentals Of Artificial Intelligence 60 Questions
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1 What is intelligence generally understood to be?

Concept of intelligence Easy
A. The ability to repeat one fixed action
B. The ability to operate without energy
C. The ability to store large files
D. The ability to learn and solve problems

2 Which activity is commonly associated with intelligence?

Concept of intelligence Easy
A. Reasoning about a new problem
B. Repeating the same movement
C. Turning off a device
D. Displaying a fixed message

3 What does learning mean in the context of intelligence?

Concept of intelligence Easy
A. Removing all stored information
B. Improving from experience
C. Following only one instruction
D. Avoiding every new situation

4 Which ability helps an intelligent system respond to changes in its environment?

Concept of intelligence Easy
A. Compression
B. Adaptation
C. Decoration
D. Duplication

5 Which of the following is an example of human intelligence?

Concept of intelligence Easy
A. Understanding a new language
B. Repeating a recorded sound
C. Playing a fixed animation
D. Showing a constant screen image

6 What is weak AI designed to do?

Differences between weak AI and strong AI Easy
A. Replace all human abilities
B. Perform specific tasks
C. Think about every possible topic
D. Develop emotions like a person

7 Which is another name for weak AI?

Differences between weak AI and strong AI Easy
A. Universal AI
B. Narrow AI
C. General AI
D. Human AI

8 What is strong AI intended to achieve?

Differences between weak AI and strong AI Easy
A. Human-like general intelligence
B. One automatic calculation
C. A single image filter
D. A fixed sorting procedure

9 Which statement about today's common AI systems is correct?

Differences between weak AI and strong AI Easy
A. Most have human consciousness
B. Most can perform every human job
C. Most are examples of weak AI
D. Most understand every subject

10 A voice assistant that answers questions and sets reminders is usually classified as what type of AI?

Differences between weak AI and strong AI Easy
A. Strong AI
B. Noncomputing intelligence
C. Weak AI
D. Biological intelligence

11 Who is often called the father of modern computer science and artificial intelligence?

History of AI from beginnings to present day Easy
A. Alan Turing
B. Alexander Graham Bell
C. Charles Darwin
D. Isaac Newton

12 What did the Turing Test propose evaluating?

History of AI from beginnings to present day Easy
A. A machine's ability to imitate human conversation
B. A robot's physical strength
C. A computer's storage capacity
D. A program's electrical voltage

13 At which 1956 event was the term artificial intelligence introduced?

History of AI from beginnings to present day Easy
A. Dartmouth workshop
B. Boston Robotics Forum
C. Paris Science Fair
D. London Computing Expo

14 What was an early goal of artificial intelligence research?

History of AI from beginnings to present day Easy
A. Building thinner television screens
B. Creating programs that solve problems
C. Designing faster paper printers
D. Increasing battery color options

15 What is an AI winter?

History of AI from beginnings to present day Easy
A. A season for testing outdoor robots
B. A period of reduced AI funding and interest
C. A holiday for studying intelligent machines
D. A method for cooling computer processors

16 Which development has strongly supported recent progress in AI?

History of AI from beginnings to present day Easy
A. Fewer digital devices
B. Reduced internet access
C. Smaller research communities
D. More data and computing power

17 Which application commonly uses AI to identify objects in photographs?

Examples of today's real-world applications of AI Easy
A. Image recognition
B. Mechanical drilling
C. Manual bookkeeping
D. Paper filing

18 Which AI application is commonly used by online stores?

Examples of today's real-world applications of AI Easy
A. Product recommendations
B. Handwritten invoices
C. Manual package wrapping
D. Physical shelf painting

19 What type of AI application can help banks identify unusual transactions?

Examples of today's real-world applications of AI Easy
A. Photo editing
B. Weather forecasting
C. Speech synthesis
D. Fraud detection

20 Which technology uses AI to convert spoken words into written text?

Examples of today's real-world applications of AI Easy
A. Speech recognition
B. Screen calibration
C. Image compression
D. Data encryption

21 A navigation system changes its route after detecting an unexpected road closure. Which aspect of intelligence is most clearly demonstrated?

Concept of intelligence Medium
A. Following a fixed sequence of commands
B. Adapting behavior to new information
C. Displaying directions on a screen
D. Storing previously observed routes

22 Why is the ability to generalize important for an intelligent system?

Concept of intelligence Medium
A. It guarantees that the system will never make an incorrect decision
B. It enables the system to operate without receiving any data
C. It allows the system to apply learned patterns to new situations
D. It limits the system to examples seen during its training

23 A program wins a chess game by evaluating possible moves but cannot explain everyday objects or understand spoken language. What does this example suggest about intelligence?

Concept of intelligence Medium
A. Chess performance requires abilities from every area of intelligence
B. Intelligence can be strong in one domain and limited in others
C. A system cannot be intelligent unless it understands language
D. Successful performance in one task proves human-level intelligence

24 Which situation best demonstrates reasoning rather than simple memorization?

Concept of intelligence Medium
A. Recognizing a photograph previously included in training data
B. Selecting a safe route by comparing traffic, distance, and weather
C. Repeating a stored definition of artificial intelligence
D. Listing all commands supported by a software application

25 A robot correctly identifies a cup in bright light but fails when the same cup is partly hidden. Which capability would most improve its intelligence in this situation?

Concept of intelligence Medium
A. Robust perception under changing conditions
B. More frequent repetition of the robot's output
C. A larger collection of motor commands
D. Faster execution of the same visual rule

26 A customer-service chatbot answers questions about product returns but cannot perform unrelated tasks. How should it be classified?

Differences between weak AI and strong AI Medium
A. Neither type because chatbots cannot use artificial intelligence
B. Weak AI because it is designed for a specific task
C. Strong AI because it uses natural-language processing
D. Strong AI because it communicates with customers

27 Which statement best describes the intended meaning of strong AI?

Differences between weak AI and strong AI Medium
A. A system that performs one task with very high accuracy
B. A system that produces outputs faster than traditional software
C. A system that demonstrates general intelligence comparable to human intelligence
D. A system that uses many sensors to collect information

28 A medical image system detects lung abnormalities accurately but cannot diagnose unrelated conditions or hold a general conversation. What conclusion is most appropriate?

Differences between weak AI and strong AI Medium
A. It is weak AI despite its high performance in one area
B. It is strong AI because medical decisions require reasoning
C. It is strong AI because its accuracy exceeds that of some humans
D. It is not AI because its task is limited to image analysis

29 Which capability would provide the strongest evidence that a system is approaching strong AI rather than remaining weak AI?

Differences between weak AI and strong AI Medium
A. Storing a larger database of task-specific examples
B. Learning and transferring knowledge across unrelated tasks
C. Generating several answers to the same question
D. Classifying images faster than previous systems

30 Why can a voice assistant appear intelligent without necessarily being strong AI?

Differences between weak AI and strong AI Medium
A. It must possess consciousness whenever it produces natural sentences
B. It automatically understands every subject as well as a human expert
C. It cannot use algorithms because speech is a human-only ability
D. It may combine several specialized systems for speech and language tasks

31 Why is the 1950 Dartmouth workshop commonly associated with the beginning of AI as a formal field?

History of AI from beginnings to present day Medium
A. It created the first large-scale internet search engine
B. It introduced the first commercially available personal computer
C. It demonstrated the first successful autonomous vehicle on public roads
D. It proposed studying machine intelligence as a distinct research area

32 What was a major characteristic of early symbolic AI systems?

History of AI from beginnings to present day Medium
A. They learned all their knowledge from massive labeled datasets
B. They depended primarily on cloud-based graphical processing units
C. They relied mainly on explicitly coded rules and logical representations
D. They generated predictions using modern transformer architectures

33 Expert systems became popular because they could provide useful decisions in limited domains. What was a common limitation of these systems?

History of AI from beginnings to present day Medium
A. They were unable to produce explanations for their conclusions
B. They lacked any method for representing domain knowledge
C. They could only run on mobile devices with internet access
D. They struggled to handle situations not covered by their programmed rules

34 What factor most directly contributed to the recent growth of machine-learning applications?

History of AI from beginnings to present day Medium
A. A complete replacement of mathematical models by human judgment
B. Improved access to data, computing power, and learning algorithms
C. A shift away from automated decision-making in industry
D. Reduced availability of digital information

35 AI winters occurred when enthusiasm and funding declined. Which situation could most likely contribute to an AI winter?

History of AI from beginnings to present day Medium
A. Systems consistently exceed ambitious public expectations
B. New hardware makes large-scale experiments more affordable
C. Applications demonstrate reliable value across several industries
D. Research results fail to meet promises, reducing confidence and investment

36 A bank uses an AI model to flag unusual credit-card transactions for review. What is the primary AI application?

Examples of today's real-world applications of AI Medium
A. Speech synthesis
B. Image compression
C. Fraud detection
D. Route planning

37 An online store recommends products based on a customer's previous purchases and browsing history. Which technique is being applied?

Examples of today's real-world applications of AI Medium
A. Industrial automation
B. Recommender systems
C. Optical character recognition
D. Autonomous navigation

38 A hospital uses an AI tool to identify possible tumors in medical scans, but a radiologist makes the final decision. What is the main benefit of this arrangement?

Examples of today's real-world applications of AI Medium
A. AI replaces all medical responsibility with automated predictions
B. AI removes the need for medical training and clinical review
C. AI supports professional judgment while retaining human oversight
D. AI guarantees that every scan will receive the same diagnosis

39 Which example best illustrates natural-language processing in a current application?

Examples of today's real-world applications of AI Medium
A. A system translating a customer message from one language into another
B. A system increasing screen brightness in direct sunlight
C. A system adjusting a factory arm to a fixed position
D. A system measuring temperature with a digital sensor

40 A logistics company uses AI to predict delivery delays by analyzing weather, traffic, and historical shipment data. What makes this an AI application rather than a simple fixed schedule?

Examples of today's real-world applications of AI Medium
A. It uses changing data to estimate outcomes and support decisions
B. It displays delivery information using a digital interface
C. It assigns every shipment the same expected arrival time
D. It follows a schedule that cannot change after publication

41 An agent performs extremely well on a fixed set of chess positions but cannot recognize a chessboard when its orientation changes. Which conclusion is most defensible?

Concept of intelligence Hard
A. It demonstrates broad intelligence
B. It demonstrates human-level understanding
C. It demonstrates task-specific competence
D. It lacks any form of intelligence

42 A home robot learns to navigate unfamiliar rooms, asks for clarification when instructions are ambiguous, and improves after observing failed attempts. Which combination most strongly supports attributing intelligence to the robot?

Concept of intelligence Hard
A. Human-like appearance and emotional speech
B. Adaptation, reasoning, and goal-directed behavior
C. Preprogrammed responses and fixed sensors
D. Large memory and rapid computation

43 Why is passing a conversational imitation test insufficient by itself to establish that a system possesses human-like intelligence?

Concept of intelligence Hard
A. Human judges cannot evaluate language behavior
B. A system may imitate linguistic behavior without general understanding
C. The test measures only physical coordination
D. Conversation never requires information processing

44 Two agents achieve the same reward in a changing environment. Agent A follows a massive lookup table, while Agent B infers compact rules and succeeds in novel situations. Which assessment is strongest?

Concept of intelligence Hard
A. Neither agent can be considered goal-directed
B. Agent A is necessarily more intelligent
C. Agent B shows stronger evidence of generalization
D. Both agents are equally intelligent in every sense

45 A medical model predicts disease accurately in one hospital but fails after a change in patient demographics and equipment. Which property of intelligence is most clearly missing?

Concept of intelligence Hard
A. Response speed
B. Arithmetic precision
C. Data storage capacity
D. Environmental robustness

46 Which statement best distinguishes weak AI from strong AI without relying on whether the system is useful or commercially successful?

Differences between weak AI and strong AI Hard
A. Weak AI solves specified tasks, whereas strong AI implies general understanding
B. Weak AI is always inaccurate, whereas strong AI is always accurate
C. Weak AI is statistical, whereas strong AI is exclusively symbolic
D. Weak AI uses software, whereas strong AI uses hardware

47 A language model writes a persuasive legal argument but cannot reliably explain the factual consequences of a new law outside its training experience. What does this most directly illustrate?

Differences between weak AI and strong AI Hard
A. Weak AI cannot generate novel language
B. Fluent performance does not prove general intelligence
C. Any accurate output proves conscious understanding
D. Strong AI necessarily requires a physical body

48 A factory system detects defects, schedules maintenance, and adjusts production, but all capabilities are separately engineered for factory operations. How should it be classified most cautiously?

Differences between weak AI and strong AI Hard
A. Strong AI because it adapts to sensor data
B. Neither AI because it operates without emotions
C. Weak AI because its competence remains domain-bounded
D. Strong AI because it performs several tasks

49 Which observation would provide the strongest evidence for a claim that a system approaches strong AI, while still not proving consciousness?

Differences between weak AI and strong AI Hard
A. It transfers concepts across unfamiliar domains and tasks
B. It classifies images faster than humans
C. It produces a human-like voice
D. It stores more facts than a person

50 Why can a collection of many weak AI systems still fail to constitute strong AI?

Differences between weak AI and strong AI Hard
A. Strong AI requires every module to be symbolic
B. Weak systems cannot process numerical inputs
C. Weak systems are incapable of interacting with one another
D. Combining narrow modules does not guarantee unified general understanding

51 Which historical sequence is chronologically correct?

History of AI from beginnings to present day Hard
A. Expert systems, Dartmouth workshop, deep learning, perceptrons
B. Deep learning, perceptrons, Dartmouth workshop, expert systems
C. Dartmouth workshop, expert systems, AI winter, modern deep learning
D. AI winter, Dartmouth workshop, expert systems, perceptrons

52 What was a major reason early symbolic AI systems struggled when deployed in broad, real-world environments?

History of AI from beginnings to present day Hard
A. They depended on explicit rules that handled exceptions poorly
B. They were unable to represent any domain knowledge
C. They required neural networks for every decision
D. They lacked all forms of logical reasoning

53 The success of modern deep learning is best explained by which combination of historical developments?

History of AI from beginnings to present day Hard
A. The disappearance of uncertainty from real-world tasks
B. A complete rejection of statistics and optimization
C. Large datasets, increased computation, and improved algorithms
D. Less data, weaker hardware, and fewer applications

54 Why are AI winters important when interpreting claims about current AI progress?

History of AI from beginnings to present day Hard
A. They prove symbolic methods were never useful
B. They show that AI research permanently ended
C. They demonstrate that hardware has no effect on AI
D. They reveal how expectations and funding can exceed practical capabilities

55 Which development most directly enabled AI systems to learn representations from large collections of unstructured data rather than depend entirely on hand-crafted features?

History of AI from beginnings to present day Hard
A. The elimination of training data requirements
B. The spread of mechanical calculators
C. The replacement of algorithms by human judgment
D. Representation learning with deep neural networks

56 A bank uses an AI model to approve loans. The model is highly accurate overall but rejects applicants from one region at twice the rate of similarly qualified applicants elsewhere. What is the primary issue?

Examples of today's real-world applications of AI Hard
A. Low computational efficiency
B. Excessive model interpretability
C. Insufficient database normalization
D. Potential subgroup fairness and distributional bias

57 An autonomous vehicle identifies a pedestrian correctly in clear weather but misses one in heavy rain. Which evaluation is most appropriate?

Examples of today's real-world applications of AI Hard
A. Evaluate only its average accuracy in clear weather
B. Test performance across relevant environmental conditions
C. Measure only the vehicle's processing speed
D. Remove difficult weather cases from the deployment scope

58 A hospital deploys an AI diagnostic tool that performs well in trials but gives unsafe recommendations when clinicians treat its confidence score as certainty. Which safeguard is most directly relevant?

Examples of today's real-world applications of AI Hard
A. Remove all clinical oversight
B. Provide calibrated uncertainty and human review
C. Increase the display brightness
D. Train only on synthetic images

59 A recommendation system increases user engagement by repeatedly showing sensational content, while reliable information receives less exposure. Which trade-off is being illustrated?

Examples of today's real-world applications of AI Hard
A. Engagement optimization versus information quality
B. Latency versus memory allocation
C. Encryption versus model compression
D. Supervision versus sensor calibration

60 An AI hiring system was trained on historical employee records from a workforce that was already demographically unbalanced. What is the most likely technical concern?

Examples of today's real-world applications of AI Hard
A. Historical patterns may be reproduced as biased predictions
B. The model cannot process categorical variables
C. A larger model always removes selection bias
D. Training data automatically guarantees fairness