Practice Questions: Data Exploration | Artificial Intelligence (AI) for Class 9 PDF Download

Q1. Which stage comes immediately after Data Acquisition in the AI Project Cycle?
(a) Problem Scoping
(b) Modelling
(c) Data Exploration
(d) Evaluation

Ans: (c) 
After acquiring data, the next stage in the AI Project Cycle is to explore the data to understand trends, relationships, and patterns before moving to modelling.

Q2. What is the main goal of data visualization in data exploration?
(a) To clean data
(b) To acquire more data
(c) To find patterns and trends in the data
(d) To delete outliers

Ans: (c)
Data visualization helps in identifying relationships, patterns, and trends within the data, making it easier to decide on next steps in modelling.

Q3. Which of the following is NOT a valid data acquisition method?
(a) Surveys
(b) Sensors
(c) Web scraping
(d) Announcements

Ans: (d)
Announcements do not involve collecting raw data. In contrast, surveys, sensors, and web scraping are direct ways of acquiring data.

Q4. In a system map, an arrow from X to Y with a minus sign indicates:
(a) X increases, Y increases
(b) X decreases, Y increases
(c) X increases, Y decreases
(d) X and Y are unrelated

Ans: (c)
The minus sign shows an inverse relationship—when one variable increases, the other decreases.

Q5. Which of the following is NOT part of the 4Ws Problem Canvas?
(a) What
(b) Why
(c) Where
(d) Which

Ans: (d)
The 4Ws in the Problem Canvas are Who, What, Where, and Why. "Which" is not part of it.

Q6. Why is data exploration compared to skimming through a book before reading it?
(a) To find errors
(b) To choose the best book cover
(c) To check if it's interesting and useful
(d) To count the number of pages

Ans: (c)
Just as skimming a book gives you an idea of its usefulness, exploring data helps understand its relevance for solving a problem.

Q7. What is the role of visualization in AI?
(a) Model training
(b) Algorithm testing
(c) Data pattern identification
(d) Error fixing

Ans: (c) 
Visualization allows for better understanding of data patterns, which aids in model selection and strategy.

Q8. What does the website datavizcatalogue.com help users with?
(a) Data collection
(b) AI programming
(c) Data visualization types
(d) Coding tutorials

Ans: (c)
The website is a resource to explore various kinds of visual representations for data.

Q9. Which material is required for the 'Sketchy Graphs' activity?
(a) Python IDE
(b) Smartphones
(c) Chart papers and sketch pens
(d) Database software

Ans: (c)
The activity involves drawing visual representations manually using basic stationery.

Q10. Which of the following is a correct purpose of data exploration before modelling?
(a) To test a neural network
(b) To simplify data storage
(c) To select appropriate modelling techniques
(d) To remove all null values

Ans: (c)
Data exploration helps understand what kind of models might best suit the trends and patterns in the dataset.