1
CAPSTONE MULTIPLE CHOICE QUESTIONS
AND VERIFIED CORRECT ANSWERS
1. What is the main purpose of a Capstone Project?
o A) To demonstrate theoretical knowledge.
o B) To complete a thesis paper.
o C) To integrate all knowledge gained through a comprehensive project.
o D) To learn about different industries.
o Answer: C
2. Which of the following is not an objective of a Capstone Project?
o A) Solving real-world problems.
o B) Expressing solutions in technical terms.
o C) Selecting appropriate algorithms for a problem.
o D) Learning teamwork.
o Answer: B
3. Which AI project involves predicting stock prices?
o A) Movie Ticket Price Predictor
o B) Stock Prices Predictor
o C) Sentiment Analyzer
o D) Student Results Predictor
o Answer: B
4. Which AI model is typically used for classification?
o A) Regression
o B) Clustering
o C) Classification
o D) Anomaly Detection
o Answer: C
5. What is the first step in the AI project cycle?
o A) Model construction
o B) Data gathering
o C) Problem definition
o D) Evaluation & refinements
o Answer: C
6. Which step is critical in determining whether AI techniques are applicable
to a problem?
o A) Gathering data
,2
o B) Identifying a pattern in data
o C) Deploying the model
o D) Selecting the right algorithm
o Answer: B
Design Thinking and Problem Decomposition
7. Which of the following is not a stage of Design Thinking?
o A) Empathize
o B) Define
o C) Deploy
o D) Prototype
o Answer: C
8. Which of the following is the correct sequence for breaking down a
problem?
o A) Start coding, then identify the problem.
o B) Restate the problem, decompose into large pieces, break those pieces
down.
o C) Decompose large pieces first, then state the problem.
o D) Prototype the solution first.
o Answer: B
9. Which is an example of problem decomposition?
o A) Gathering data from sensors
o B) Breaking down app development into multiple tasks
o C) Running machine learning models
o D) Collecting user feedback
o Answer: B
10.Which concept involves the breakdown of time series data into trend,
seasonality, and noise components?
• A) Time Series Forecasting
• B) Design Thinking
• C) Problem Decomposition
• D) Time Series Decomposition
• Answer: D
AI Model Construction and Analytics
11.Which is the first step in any AI or machine learning project?
• A) Data modeling
• B) Data collection
• C) Business understanding
, 3
• D) Cross-validation
• Answer: C
12.Which is the foundational methodology for data science?
• A) Data mining
• B) CRISP-DM
• C) Agile
• D) SDLC
• Answer: B
13.What does the second stage of data science methodology involve?
• A) Business understanding
• B) Data collection
• C) Defining the analytic approach
• D) Model deployment
• Answer: C
14.Which of these approaches would you use for showing relationships
between variables?
• A) Predictive approach
• B) Descriptive approach
• C) Classification approach
• D) Regression
• Answer: B
15.When might a predictive model be used?
• A) To explain historical data
• B) To show relationships between data
• C) To predict future outcomes
• D) To cluster similar data points
• Answer: C
Data Requirements and Modeling
16.What question should be asked first in a data project?
• A) What is the business outcome?
• B) How will the data be collected?
• C) What data is needed?
• D) What algorithm will be used?
• Answer: A
17.Which dataset is commonly used for predicting house prices?
• A) Airline Passenger Dataset
• B) Forestfires Dataset
• C) Housing Dataset
CAPSTONE MULTIPLE CHOICE QUESTIONS
AND VERIFIED CORRECT ANSWERS
1. What is the main purpose of a Capstone Project?
o A) To demonstrate theoretical knowledge.
o B) To complete a thesis paper.
o C) To integrate all knowledge gained through a comprehensive project.
o D) To learn about different industries.
o Answer: C
2. Which of the following is not an objective of a Capstone Project?
o A) Solving real-world problems.
o B) Expressing solutions in technical terms.
o C) Selecting appropriate algorithms for a problem.
o D) Learning teamwork.
o Answer: B
3. Which AI project involves predicting stock prices?
o A) Movie Ticket Price Predictor
o B) Stock Prices Predictor
o C) Sentiment Analyzer
o D) Student Results Predictor
o Answer: B
4. Which AI model is typically used for classification?
o A) Regression
o B) Clustering
o C) Classification
o D) Anomaly Detection
o Answer: C
5. What is the first step in the AI project cycle?
o A) Model construction
o B) Data gathering
o C) Problem definition
o D) Evaluation & refinements
o Answer: C
6. Which step is critical in determining whether AI techniques are applicable
to a problem?
o A) Gathering data
,2
o B) Identifying a pattern in data
o C) Deploying the model
o D) Selecting the right algorithm
o Answer: B
Design Thinking and Problem Decomposition
7. Which of the following is not a stage of Design Thinking?
o A) Empathize
o B) Define
o C) Deploy
o D) Prototype
o Answer: C
8. Which of the following is the correct sequence for breaking down a
problem?
o A) Start coding, then identify the problem.
o B) Restate the problem, decompose into large pieces, break those pieces
down.
o C) Decompose large pieces first, then state the problem.
o D) Prototype the solution first.
o Answer: B
9. Which is an example of problem decomposition?
o A) Gathering data from sensors
o B) Breaking down app development into multiple tasks
o C) Running machine learning models
o D) Collecting user feedback
o Answer: B
10.Which concept involves the breakdown of time series data into trend,
seasonality, and noise components?
• A) Time Series Forecasting
• B) Design Thinking
• C) Problem Decomposition
• D) Time Series Decomposition
• Answer: D
AI Model Construction and Analytics
11.Which is the first step in any AI or machine learning project?
• A) Data modeling
• B) Data collection
• C) Business understanding
, 3
• D) Cross-validation
• Answer: C
12.Which is the foundational methodology for data science?
• A) Data mining
• B) CRISP-DM
• C) Agile
• D) SDLC
• Answer: B
13.What does the second stage of data science methodology involve?
• A) Business understanding
• B) Data collection
• C) Defining the analytic approach
• D) Model deployment
• Answer: C
14.Which of these approaches would you use for showing relationships
between variables?
• A) Predictive approach
• B) Descriptive approach
• C) Classification approach
• D) Regression
• Answer: B
15.When might a predictive model be used?
• A) To explain historical data
• B) To show relationships between data
• C) To predict future outcomes
• D) To cluster similar data points
• Answer: C
Data Requirements and Modeling
16.What question should be asked first in a data project?
• A) What is the business outcome?
• B) How will the data be collected?
• C) What data is needed?
• D) What algorithm will be used?
• Answer: A
17.Which dataset is commonly used for predicting house prices?
• A) Airline Passenger Dataset
• B) Forestfires Dataset
• C) Housing Dataset
