Page 165 - AI Ver 1.0 Class 10
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2. Which of the following are the methods of data collection?
a. Surveys and rumours b. AI models and applications
c. Web scraping and sensors d. Imagination and Internet
3. Which one of the following is an example of unsupervised learning model?
a. Regression b. Clustering
c. Classification d. Rule based
4. Regression only works with which kind of data?
a. Intermittent data b. Step function data
c. Linear data d. Continuous data
5. In which of the following, the machine is trained with huge amounts of data which helps it in training itself around the
data?
a. Deep learning b. Machine learning
c. AI d. NLP
6. Bar chart, pie chart and line chart are some of the techniques of ………………………. .
a. Data Collection b. Data Exploration
c. Data Visualization d. Data Accessing
7. An unsupervised learning data model works on which kind of data?
a. Training b. Unlabelled
c. Testing d. Labelled
8. Which of the following model work on continuous data like weather analysis, forecasting, stock prices, etc.?
a. Clustering b. Classification
c. Regression d. Perfect models
9. What are the two types of unsupervised learning model?
a. Clustering and dimensionality reduction b. Classification and regression
c. Rule based and learning based d. Classification and clustering
10. Which of the following is part of problem scoping?
a. System mapping b. Data features
c. Web scraping d. 4Ws Problem canvas
11. Which of the following do not belong to the learning-based approach of AI modelling?
a. Supervised learning b. Unsupervised learning
c. Modular learning d. Reinforcement learning
12. Which of the following is correct about the rule based approach? [CBSE Sample Paper 2022]
a. We cannot provide enough rules to the machine.
b. A drawback/feature for this approach is that the learning is static.
c. Once the rules are fed into the system, it takes into consideration any changes made in the original training
dataset.
d. It can improve itself based on the feedbacks.
AI Project Cycle 163

