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c. Rule-based systems follow explicit, pre-defi ned rules, while learning-based systems create
their own algorithms.

d. Both rule-based and learning-based systems work the same way
4. In the context of a neural network, what does the hidden layer do?

a. Receives input data and makes decisions.
b. Analyses incoming data and passes processed informati on to the output layer.

c. Modifi es the acquired informati on in the output layer.
d. Preform complex computati ons on input data, extracti ng features and patt erns

5. 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
6. What is the primary need for deep learning models?

a. Small datasets b. Highly structured data

c. Large amounts of labelled data d. Manual feature extracti on
7. What is reinforcement learning primarily focused on?
a. Categorisati on of data b. Learning through trial and error

c. Analysing structured data d. Predicti ons based on historical data
8. In what aspect of deep learning is a Convolutional Neural Network (CNN) primarily used for?

a. Text processing b. Numerical computi ng
c. Image classifi cati on and analysis d. Data storage

9. Which of the following is an example of unsupervised learning?
a. Predicti ng loan defaults using applicant data

b. Segmenti ng customers based on purchase behavior without predefi ned categories
c. Diagnosing diseases with labelled medical data

d. Classifying images of animals in a dataset
10. Which of the following tasks is NOT typically associated with deep learning?

a. Image recogniti on b. Speech recogniti on

c. Simple arithmeti c operati ons d. Object Localisati on
Answers
1. (a) 2. (a) 3. (b) 4. (b) 5. (a) 6. (c)

7. (b) 8. (c) 9. (b) 10. (c)
B. Fill in the blanks.
1. __________ is a subset of AI that allows systems to learn from past data without explicit programming.
2. In object classification, data is categorised into different __________ based on the parameters defined
in the input.

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