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Coding and AI Knowledge Check

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What does AI stand for?

a)

Automated Integration

b)

Artificial Interaction

c)

Advanced Interface

d)

Artificial Intelligence

2.

Which programming language is commonly used for AI development?

a)

Python

b)

Ruby

c)

C++

d)

Java

3.

What is the purpose of a neural network?

a)

The purpose of a neural network is to model complex relationships in data for tasks such as classification, regression, and pattern recognition.

b)

To store data in a structured format.

c)

To create static web pages.

d)

To replace traditional programming languages.

4.

Which of the following is a type of machine learning?

a)

Deep learning

b)

Supervised learning

c)

Reinforcement learning

d)

Natural language processing

5.

What is the main function of an algorithm?

a)

To provide a clear set of instructions for solving a problem or accomplishing a task.

b)

To store information in a database.

c)

To create random data for testing purposes.

d)

To visualize data in graphical formats.

6.

What does 'debugging' refer to in programming?

a)

The act of writing code without errors.

b)

The process of compiling code into machine language.

c)

The method of optimizing code for performance.

d)

The process of identifying and fixing bugs in a program.

7.

Which of the following is a popular library for data analysis in Python?

a)

Pandas

b)

Matplotlib

c)

NumPy

d)

Scikit-learn

8.

What is the role of a data scientist?

a)

The role of a data scientist is to analyze and interpret complex data to inform decision-making.

b)

To create and manage databases.

c)

To design user interfaces for applications.

d)

To write code for software development.

9.

What does 'open-source' mean in software development?

a)

Software that is developed in secret and kept private.

b)

Open-source means software with publicly accessible source code.

c)

Software that is only available for purchase.

d)

Software that cannot be modified by users.

10.

Which of the following is an example of supervised learning?

a)

Identifying patterns in historical sales data.

b)

Predicting whether an email is spam or not.

c)

Recommending products based on user behavior.

d)

Clustering customer data into groups.