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Soal Koding & Kecerdasan Artifisial untuk SMA/SMK

Authored by MUHAMMAD AGUNG RAMADHAN

Information Technology (IT)

University

Soal Koding & Kecerdasan Artifisial untuk SMA/SMK
AI

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of an algorithm?

To store information in a database.

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

To create random data for testing purposes.

To visualize data in a graphical format.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the difference between supervised and unsupervised learning.

Supervised learning is faster than unsupervised learning.

Unsupervised learning requires more data than supervised learning.

Supervised learning uses labeled data for training, while unsupervised learning uses unlabeled data to find patterns.

Supervised learning is only used for classification tasks.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What programming language is commonly used for AI development?

Ruby

C++

Java

Python

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Define the term 'machine learning'.

Machine learning is a method of data analysis that automates analytical model building.

Machine learning is a type of hardware used for data storage.

Machine learning is a programming language for software development.

Machine learning refers to the process of manual data entry.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of data in artificial intelligence?

Data is primarily for user interface design in AI.

Data is only used for storage in AI systems.

Data is the foundation for training AI models, enabling them to learn patterns and make predictions.

Data is irrelevant to AI development.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe a common application of neural networks.

Speech recognition

Natural language processing

Game playing strategies

Image recognition

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of Big O notation in programming?

Big O notation measures the popularity of programming languages.

Big O notation is used to define the syntax of programming languages.

Big O notation indicates the number of lines in a program.

Big O notation signifies the efficiency and scalability of algorithms in programming.

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