Page 204 - AI Computer 10

AI Assessment Zone

A. Tick () the correct answer.
1. In which type of machine learning is the data labelled with the desired output?

a. Supervised Learning b. Unsupervised Learning

c. Reinforcement Learning d. Deep Learning
2. Which of the follwoing terms describes “Training Data”?
a. Data used for testi ng the fi nal model b. Data used to evaluate project performance

c. Data fed to the machine to help it learn d. Data collected aft er project deployment
3. A machine learning algorithm that groups similar customer purchases into clusters for recommendation
systems uses:

a. Supervised Learning b. Unsupervised Learning
c. Reinforcement Learning d. Neural Networks
4. An AI agent playing a game and learning from its rewards and penalties is an example of:

a. Supervised Learning b. Unsupervised Learning

c. Reinforcement Learning d. Evoluti onary Learning
5. In an unsupervised learning scenario, the goal is to:
a. Predict a specifi c output based on labeled data.

b. Identi fy patt erns and relati onships within unlabeled data.

c. Train an AI agent through rewards and penalti es.
d. Develop complex neural network architectures.
6. Clustering algorithms are commonly used in unsupervised learning for:

a. Spam fi ltering b. Image classifi cati on

c. Stock price predicti on d. Grouping similar data points
7. Artificial neural networks are inspired by the structure and function of:
a. the human brain b. quantum computers

c. complex mathemati cal models d. high-speed processors
8. A neural network with multiple layers of interconnected neurons is called a:

a. Single-layer network b. Deep Neural Network
c. Linear network d. Perceptron

9. Training a neural network often requires:
a. a small set of labelled data samples

b. a signifi cant amount of data and computati onal resources
c. a specifi c set of programming instructi ons

d. a human expert to guide the learning process

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