Free Practice Quiz Question List

1 Introduction to Artificial Intelligence Online Quiz Questions

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

20 questions
01
Choose one
1 point

Which example best illustrates a learning-based AI system?

  1. A

    A calculator that applies a fixed programmed operation

  2. B

    A spam filter that learns patterns from labeled messages and classifies new emails

  3. C

    A checklist that always follows the same manually written steps

  4. D

    A timer that counts down from a preset value

02
True or false
1 point

A single AI system can combine a learned model with explicit rules or search methods.

  1. A

    True

  2. B

    False

03
Written response
1 point

A developer gives a trained model a new photo and uses its output to identify the pictured object. What is the process of using the model on this new input called?

04
Fill in the blank
1 point

An email system assigns each message to either the “spam” or “not spam” category. This task is called .

05
Choose all
1 point

Select all statements that correctly distinguish training from inference in an AI system.

  1. A

    Training uses data to build or adjust a model.

  2. B

    Inference uses a resulting model on new input.

  3. C

    Training is the process of applying a completed model to new input.

  4. D

    Inference means writing all of a system’s rules by hand.

06
Choose one
1 point

A troubleshooting tool follows only explicit rules supplied by people. A user reports a problem that none of those rules address. Which limitation is most likely?

  1. A

    It learns how to handle the case automatically from examples.

  2. B

    It can always infer the intended response, even without a relevant rule.

  3. C

    It may struggle because its supplied rules do not cover the new situation.

  4. D

    It becomes a learning-based system as soon as a case is unfamiliar.

07
True or false
1 point

Artificial general intelligence (AGI) is a standard label for today’s task-specific AI systems.

  1. A

    True

  2. B

    False

08
Written response
1 point

What is the AI term for a learned or constructed representation that a system uses to produce an output such as a prediction or classification?

09
Fill in the blank
1 point

A system is designed to recommend music but cannot transfer its abilities broadly to unrelated problems. This is an example of .

10
Choose all
1 point

An organization plans to use an AI system in decisions that could significantly affect people. Select all considerations that support responsible development and use.

  1. A

    Provide human oversight for consequential decisions.

  2. B

    Check for fairness concerns and possible bias in data or outcomes.

  3. C

    Pay attention to privacy and accountability.

  4. D

    Assume the system’s output is correct whenever it sounds confident.

  5. E

    Avoid reviewing impacts on people because the system is automated.

11
Choose one
1 point

Which description best matches the definition of an AI system presented in the material?

  1. A

    Any computer program that follows fixed instructions

  2. B

    A system that makes predictions, recommendations, or decisions based on human-defined objectives

  3. C

    A machine that necessarily thinks and understands exactly as a person does

  4. D

    A system that can only act after learning from labeled examples

12
Written response
1 point

What family of models is used in some machine-learning systems?

13
Choose one
1 point

A route-finding program compares possible paths and selects one that meets a travel-time criterion. Which AI concept best describes this process?

  1. A

    Classification, because each route is assigned a category

  2. B

    Training, because every possible path must be a data example

  3. C

    Search and planning, because possible paths are compared to find one meeting the travel-time criterion

  4. D

    Inference, because any output from a program is inference

14
Open ended
1 point

A team is choosing between a rule-based system and a learning-based system for a troubleshooting tool. Explain how the two approaches differ and identify one limitation of each.

15
Choose one
1 point

An email filter examines each incoming message and labels it as spam or not spam. Which AI task is the filter performing?

  1. A

    It performs route planning by comparing possible paths.

  2. B

    It performs classification by assigning each message to a category.

  3. C

    It trains a model each time it processes a message.

  4. D

    It uses only a fixed rule and therefore cannot be an AI system.

16
Choose one
1 point

Which statement correctly distinguishes an algorithm from a model in artificial intelligence?

  1. A

    An algorithm is the representation used to produce an output; a model is a procedure for processing information.

  2. B

    An algorithm is a procedure for processing information or solving a problem; a model is a learned or constructed representation used to produce an output.

  3. C

    An algorithm and a model are both names for the data used by a system.

  4. D

    An algorithm is the output of a system; a model is the goal the system is trying to reach.

17
True or false
1 point

A system can perform an AI task without thinking or understanding in the same way a person does.

  1. A

    True

  2. B

    False

18
Choose one
1 point

A company has already built a model from past examples. It now feeds a new customer message into the model to get a prediction. What process is taking place?

  1. A

    The system is performing inference.

  2. B

    The system is performing training.

  3. C

    The system is performing classification only if it changes the model.

  4. D

    The system is building an explicit rule set rather than using a model.

19
Choose one
1 point

A troubleshooting system must follow a precise safety rule but also recognize likely faults from past cases. Which design best fits these requirements?

  1. A

    Use only explicit rules, since learning-based systems cannot handle complex patterns.

  2. B

    Use only a learned model, since explicit rules cannot be part of an AI system.

  3. C

    Replace both methods with a basic calculator, because fixed operations are always AI.

  4. D

    Combine explicit rules for specified conditions with a learned model for patterns in examples.

20
Written response
1 point

What acronym names the proposed kind of AI with broad abilities across many kinds of intellectual tasks?