Cambridge A Level CS Artificial Intelligence

Cambridge A Level CS Artificial Intelligence

12th Grade

11 Qs

quiz-placeholder

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Cambridge A Level CS Artificial Intelligence

Cambridge A Level CS Artificial Intelligence

Assessment

Quiz

Computers

12th Grade

Easy

Created by

Carrie Preddy

Used 2+ times

FREE Resource

11 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe the differences between supervised and unsupervised learning in AI.

Supervised learning uses labeled data, while unsupervised learning uses unlabeled data.

Supervised learning is faster than unsupervised learning.

Unsupervised learning requires labeled data, while supervised learning does not.

There is no difference between supervised and unsupervised learning.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Artificial neural networks have helped with machine learning by:

improving data processing capabilities

reducing computational costs

eliminating the need for data

increasing hardware requirements

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A search engine uses machine learning to improve its performance by:

analyzing user behavior to refine search algorithms

increasing the number of indexed pages

reducing server load

improving hardware infrastructure

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In supervised learning, what is required for the system to be trained?

Labeled data

Unlabeled data

Reinforcement signals

No data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Unsupervised learning is a type of machine learning where:

The model is trained on labeled data

The model is trained on unlabeled data

The model is trained with supervision

The model is trained with reinforcement

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The basis of learning in Reinforcement Learning is:

Supervised learning

Unsupervised learning

Trial and error

Genetic algorithms

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Unlabelled data is used more in semi-supervised learning because:

it is cheaper and easier to obtain than labeled data.

it provides more accurate results than labeled data.

it requires less computational power.

it is more reliable than labeled data.

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