Free Practice Quiz Question List

1 Foundations of Artificial Intelligence Online Quiz Questions

Use this free practice quiz with 20 questions to review 1 Foundations of Artificial Intelligence, test your knowledge, and prepare for your next test or exam.

20 questions
01
True or false
1 point

A system recommends routes to help achieve a human-defined objective. It could qualify as an AI system even if there is no evidence that it is conscious in a human-like way.

  1. A

    True

  2. B

    False

02
Written response
1 point

A trained model receives a new input and produces a prediction. What is this use of the model called?

03
Fill in the blank
1 point

In machine learning, the process of adjusting a model using data so that it performs a task more effectively is called .

04
Choose one
1 point

A system classifies incoming items into categories. Which description best fits the computational component it uses to produce those classifications?

  1. A

    A set of steps for carrying out a computation

  2. B

    A computational representation used to produce an output

  3. C

    Information used by a computer system

  4. D

    The process of using a trained model on new input

05
Choose one
1 point

A developer provides labeled email examples, and a system uses them to estimate whether a new message is spam. Which description best fits how the system’s behavior is specified?

  1. A

    It is conventional rule-based software because every possible message must have its own written rule.

  2. B

    It is conventional rule-based software because training examples are explicit instructions.

  3. C

    It is a machine-learning system because examples are used to learn patterns for estimating whether a message is spam.

  4. D

    It cannot be software because its behavior is not specified entirely as individual rules.

06
True or false
1 point

AI is separate from ordinary software because AI systems use different physical machinery and do not follow instructions.

  1. A

    True

  2. B

    False

07
Choose all
1 point

Select all statements supported by the material about approaches used in AI systems.

  1. A

    Some AI systems rely chiefly on explicit rules.

  2. B

    Every AI system must use a model trained from data.

  3. C

    Some AI systems use models trained from data.

  4. D

    A product may combine a learned model with ordinary software logic.

08
Written response
1 point

In what year did Alan Turing raise the question of whether machines could exhibit intelligent behavior?

09
Fill in the blank
1 point

A procedure or set of steps for solving a problem or carrying out a computation is an .

10
Choose one
1 point

Which description best matches artificial general intelligence (AGI) as presented in the material?

  1. A

    A system that performs one limited task, such as recognizing speech

  2. B

    A proposed system able to perform a wide range of intellectual tasks at a broadly human level

  3. C

    Any software that uses explicit rules

  4. D

    A system that produces predictions but cannot produce recommendations

11
Choose all
1 point

Select all accurate comparisons of rule-based and learning-based systems.

  1. A

    Rule-based software can be easier to inspect in well-defined cases.

  2. B

    Learning-based systems can handle patterns that are difficult to specify by hand.

  3. C

    Learning-based systems guarantee correct outputs for new inputs.

  4. D

    Learning-based systems may be less transparent.

12
Choose one
1 point

Why is the 1956 Dartmouth workshop significant in the history of AI?

  1. A

    It established that machines had achieved human-level intelligence.

  2. B

    It marked the first time anyone considered whether machines could behave intelligently.

  3. C

    It is commonly regarded as the beginning of AI as an organized research field.

  4. D

    It replaced rule-based approaches with machine learning.

13
Written response
1 point

What is the term for AI designed for a particular task or a limited set of tasks, such as recognizing speech?

14
Open ended
1 point

Explain how conventional rule-based software differs from a machine-learning system in how its behavior is specified. Give one example of each approach and explain why the distinction is not absolute.

15
True or false
1 point

An AI system’s ability to perform a task is, by itself, proof that it has human-like consciousness.

  1. A

    True

  2. B

    False

16
Written response
1 point

What term describes a computational representation that a system uses to produce an output such as a prediction or classification?

17
Choose one
1 point

A model has already been trained on labeled email examples. Which action is an example of inference?

  1. A

    Adjusting a model using labeled examples

  2. B

    Using a trained model to estimate whether a new message is spam

  3. C

    Writing explicit conditions for every message the program may encounter

  4. D

    Choosing the objective that the system should pursue

18
Choose one
1 point

Which design most clearly illustrates conventional rule-based software?

  1. A

    A model learns discount eligibility from examples of past purchases.

  2. B

    A model estimates how much a customer will spend based on purchase data.

  3. C

    A program grants a discount whenever a purchase exceeds a stated amount.

  4. D

    A program adjusts its own discount conditions after each purchase.

19
Choose one
1 point

A system is designed specifically to recognize speech. Which AI category best fits this task-specific system?

  1. A

    Narrow AI

  2. B

    Artificial general intelligence (AGI)

  3. C

    A general-purpose algorithm

  4. D

    Conventional rule-based software

20
Choose one
1 point

Why might a learning-based system be useful for a task whose relevant patterns are difficult to describe with explicit rules?

  1. A

    They eliminate the need for people to choose objectives, data, and evaluation methods.

  2. B

    They can capture patterns that are difficult to specify by hand.

  3. C

    They guarantee correct outputs for inputs not seen during training.

  4. D

    They make the system’s behavior fully transparent in every case.