Page 171 - Ai Book - 10

4. What is the primary role of Data Exploration in the AI Project Cycle?
a. Building models

b. Identifying and gathering data
c. Understanding the quality and nature of data

d. Deploying the model
5. In the context of AI, what does “Supervised Learning” involve?
a. Training on labeled datasets

b. Training on unlabeled datasets
c. Making sequential decisions

d. Clustering data
6. Which stage determines the efficiency and performance of the AI model?

a. Problem Scoping b. Data Exploration
c. Data Modelling d. Evaluation
7. What is the primary difference between a rule-based approach and a learning-based approach in AI
modeling?

a. Rule-based systems are dynamic, while learning-based systems are static.
b. Rule-based systems rely on predefined rules, while learning-based systems adapt to new data.
c. Rule-based system follow explicit, pre-defined rules, while learning based systems

derive patterns.
d. Both rule based and learning based systems work the same way.
8. 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 information to the output layer.

c. Modifies the acquired information in the output layer.
d. Preform complex computations on input data, extracting features and patterns.

9. What does the term “Data Feature” refer to in the AI Project Cycle?
a. Identifying stakeholders b. Characteristics of data
c. Training the model d. Deploying the model

10. Which visualization technique is suitable for representing the frequency of continuous data on a graph?
a. Bullet Graph b. Histogram

c. Scatterplot d. Tree Diagram
11. What is the purpose of the 4W’s Problem Canvas “Where” block?
a. Identifying stakeholders

b. Defining the nature of the problem
c. Focusing on the situation and context of the problem

d. Project deployment

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