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AI in Automotive Systems Quiz

Total questions: 20

Worksheet time: 10mins

Name
Class
Date
1.

Which AI technique is most commonly used in autonomous vehicles for object detection?

a)

Deep Learning

b)

Expert Systems

c)

Genetic Algorithms

d)

Rule-based Systems

e)

Symbolic AI

2.

Which of the following best defines Artificial Intelligence?

a)

Simulation of human intelligence by machines

b)

A type of mechanical engineering

c)

Manual control of machines

d)

Basic programming

e)

Use of electricity in automation

3.

Which subfield of AI involves training computers to learn from data?

a)

Machine Learning

b)

Robotics

c)

Expert Systems

d)

Rule-based Systems

e)

Symbolic Logic

4.

What is a common application of AI in automotive systems?

a)

Driver Assistance Systems

b)

Manual Transmission Control

c)

Fuel Tank Calibration

d)

Tire Inflation

e)

AC Temperature Setting

5.

Which AI component helps recognize pedestrians in self-driving cars?

a)

Computer Vision

b)

Chatbot

c)

Reinforcement Learning

d)

Knowledge Base

e)

Decision Trees

6.

Which of the following is a type of machine learning?

a)

Supervised Learning

b)

Pattern Shifting

c)

Rule Mapping

d)

Data Collecting

e)

Hardware Sorting

7.

Which neural network type is often used for image recognition?

a)

Convolutional Neural Network (CNN)

b)

Recurrent Neural Network (RNN)

c)

Feedforward Network

d)

Random Forest

e)

Linear Regression

8.

Which AI technique is used for path planning in autonomous vehicles?

a)

Reinforcement Learning

b)

Sentiment Analysis

c)

Text Mining

d)

Time Series Forecasting

e)

Speech Synthesis

9.

Which of these is a characteristic of deep learning?

a)

Use of multiple layers in neural networks

b)

Simple rule-based decision-making

c)

Linear data flow

d)

Single-layered logic

e)

Manual parameter tuning

10.

Which is NOT a fundamental component of AI?

a)

Exhaust Systems

b)

Machine Learning

c)

Natural Language Processing

d)

Computer Vision

e)

Knowledge Representation

11.

Which AI technology helps with lane detection in automotive systems?

a)

Image Processing

b)

Audio Processing

c)

Text Analysis

d)

Speech Recognition

e)

Data Mining

12.

Which sensor is most commonly used along with AI in automotive applications?

a)

LIDAR

b)

Thermostat

c)

RFID

d)

Speedometer

e)

Thermometer

13.

Which learning type uses labeled datasets?

a)

Supervised Learning

b)

Unsupervised Learning

c)

Reinforcement Learning

d)

Deep Learning

e)

Transfer Learning

14.

What is the primary goal of reinforcement learning?

a)

Learn optimal actions through rewards

b)

Find correlations in static data

c)

Classify labeled data

d)

Translate text

e)

Predict weather

15.

What does a deep neural network primarily consist of?

a)

Multiple hidden layers

b)

Wheels and motors

c)

Relays and switches

d)

Physical circuits

e)

Simple rules

16.

Which AI concept allows a vehicle to detect obstacles and avoid them?

a)

Sensor Fusion

b)

Data Entry

c)

Remote Control

d)

Mechanical Braking

e)

Static Programming

17.

Which of the following is an unsupervised learning algorithm?

a)

K-Means Clustering

b)

Logistic Regression

c)

Linear Regression

d)

Naive Bayes

e)

Decision Trees

18.

Which is a major benefit of using AI in the automotive industry?

a)

Increased vehicle automation

b)

Higher fuel consumption

c)

Louder engine noise

d)

More manual interventions

e)

Reduced safety

19.

What does a neural network model mimic?

a)

Human brain

b)

Car engine

c)

Electric motor

d)

Computer storage

e)

Gearbox system

20.

Which of the following is a deep learning framework?

a)

TensorFlow

b)

Photoshop

c)

Excel

d)

Arduino

e)

Linux