Group D (EN)

Robots that explore other planets, like Mars, are called .

The process of sending data from an IoT device to a central location (like a computer or the cloud) is called data .

The more you have to support an inductive conclusion, the the conclusion is likely to be.

Before you can sort a list of items, you often need to define a by which to compare them (e.g., size, alphabetical order, date).

In object-oriented programming, a blueprint or template for creating objects is called a .

Match the problem with a possible first step in breaking it down:

Match the correct Blockly blocks with their functions:

Match the algorithm design concept to its description:

Match the type of problem to the problem-solving strategy that would likely be MOST effective:

Match the robotic challenge with the MOST relevant technological solution:

Match the specialized robotic system to its MOST likely application, considering both the task and the environment:

An AI system can never be biased, because it's a computer.

IoT devices can only communicate with each other if they are made by the same company.

A robot designed to work in a hospital would need to be very fast, even if it meant being less careful.

If you observe many swans and they are all white, you can conclude with absolute certainty that all swans are white.

Data aggregation in IoT always involves calculating the average of the collected data.

If an AI system is trained on biased data, it is guaranteed to make biased decisions, even if the programming code itself is perfectly fair and unbiased.

What could be a possible result of the block ?

What is “data normalization” in the context of IoT data analysis?

What happens if this block runs while x is always less than 5?

What could be a possible result of this block?

A hospital uses an AI system to analyze medical images (like X-rays and MRI scans) to help detect diseases. Which of these is the MOST SIGNIFICANT ethical concern specific to this AI application, and not just a general computer issue?

A “smart factory” uses interconnected sensors and machines. What is the MOST significant advantage of this approach compared to a traditional factory?

Which of the following are examples of abstraction? (Select all that apply)

What are some potential ethical concerns about using AI in self-driving cars? (Select all that apply)

In a “lights-out” factory (a fully automated factory with minimal human presence), which of the following are likely to be TRUE? (Select all that apply)

Which of the following statements about inductive reasoning are TRUE? (Select all that apply)

Which of the following are potential ethical concerns related to the increasing use of robots in the workplace? (Select all that apply)

If we input the list `x = [2, 3, 4, 5, 7, 8]` into the program above, what will be the output after running the program?

What are some advantages of breaking a large programming problem down into smaller functions (decomposition)? (Select all that apply)

Finding the common features in different problems is an example of .

Match the IoT device to its use:

A washing machine is a type of robot.

It is fine to give my friend’s address to smart toy.

You are writing instructions for someone to make a sandwich. Which of these is the MOST important thing to include?

What part of a robot helps it sense its surroundings?

Which of these is MOST like a robot?

If an AI makes a mistake, who is responsible?

What are the benefits of using robots? (Select all that apply)

What can be connected in an IoT system? (Select all that apply)