Page 176 - Ai Book - 10

AI Assessment Zone

A. Tick () the correct answer.

1. What is the last step in the AI Project Cycle?
a. Data Modelling b. Data Exploration

c. Evaluation d. Problem Scoping
2. Which approach in Data Modeling involves building an AI system based on predefined rules?
a. Rule-Based Approach b. Learning-Based Approach

c. Reinforcement Learning d. Unsupervised Learning
3. What is the primary role of Unsupervised Learning in the Machine Learning models?

a. Training on labeled datasets
b. Identifying patterns and relationships in unlabeled data
c. Making sequential decisions

d. Clustering data
4. Which stage involves finding all kinds of unknown patterns in data?

a. Data Modeling b. Data Exploration
c. Evaluation d. Unsupervised Learning
5. What does Reinforcement Learning focus on in the AI Project Cycle?

a. Training on labeled datasets
b. Making a sequence of decisions

c. Identifying patterns in data
d. Clustering data

6. Which visualization technique is suitable for comparing primary data with respect to other data?
a. Scatterplot b. Tree Diagram

c. Bullet Graph d. Histogram
7. What is the purpose of the “Why” block in the 4Ws Problem Canvas?
a. Identifying stakeholders

b. Defining the nature of the problem
c. Analyzing project benefits for stakeholders and society

d. Data exploration
8. In the context of AI, what is the significance of Sustainable Development Goals?
a. They guide the Data Acquisition stage

b. They provide themes for AI projects

c. They focus on the Evaluation stage
d. They are part of Data Exploration

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