Worksheet: AI Project Cycle | Artificial Intelligence for Class 10 PDF Download

Multiple Choice Questions

Q.1: How many stages are there in the AI Project Cycle as described in the document?
a) Three
b) Four
c) Five
d) Six

Q.2: What is the first stage of the AI Project Cycle?
a) Data Acquisition
b) Problem Scoping
c) Modeling
d) Evaluation

Q.3: Which block of the 4Ws Problem Canvas identifies the people affected by the problem?
a) What
b) Where
c) Why
d) Who

Q.4: What is the purpose of the "What" block in the 4Ws Problem Canvas?
a) To determine the context of the problem
b) To identify stakeholders
c) To determine the nature of the problem and gather evidence
d) To list benefits of the solution

Q.5: Which modeling approach involves feeding the machine data along with predefined rules?
a) Learning-Based Approach
b) Rule-Based Approach
c) Supervised Learning
d) Unsupervised Learning

Q.6: What is a key characteristic of neural networks as described in the document?
a) They require manual feature extraction
b) They automatically extract data features
c) They are limited to small datasets
d) They do not involve hidden layers

Q.7: Which Python tool is recommended for interactively developing AI-related projects?
a) Anaconda Prompt
b) Jupyter Notebook
c) Virtual Environment
d) Python Shell

Q.8: What is the purpose of a virtual environment in Python?
a) To execute Python code directly
b) To isolate project dependencies
c) To install Jupyter Notebook
d) To compile Python code

Q.9: Which Python operator is used to calculate the remainder of a division?
a) /
b) //
c) %
d) **

Q.10: What does the "Why" block of the 4Ws Problem Canvas focus on?
a) Identifying stakeholders
b) Determining the context of the problem
c) Listing benefits of the solution for stakeholders
d) Gathering evidence for the problem

Fill in the Blanks

Q.1: The AI Project Cycle provides a framework to achieve the __________ of an AI project.

Q.2: The __________ Canvas helps summarize the key elements of the problem into a single template.

Q.3: In the __________ stage, data is collected to form the base of the AI project.

Q.4: __________ Learning involves training a model with labeled data.

Q.5: The __________ layer of a neural network is responsible for providing the final output to the user.

True or False

Q.1: The Rule-Based Approach in AI modeling allows the machine to adapt to new data dynamically.

Q.2: The 4Ws Problem Canvas includes Who, What, Where, and Why blocks to analyze a problem.

Q.3: Data features refer to the type of data needed to address a problem, such as salary or increment percentage.

Q.4: Unsupervised learning models always require labeled data to identify patterns.

Q.5: Jupyter Notebook can only be used with Python and not with other programming languages.

Short Answer Questions

Q.1: What is the purpose of Problem Scoping in the AI Project Cycle?

Q.2: Explain the role of the "Who" block in the 4Ws Problem Canvas.

Q.3: What is the difference between a Rule-Based Approach and a Learning-Based Approach in AI modeling?

Q.4: Why are virtual environments useful when working with Python projects?

Q.5: Describe the role of the input layer in a neural network.

Long Answer Questions

Q.1: Explain the five stages of the AI Project Cycle as described in the document.

Q.2: Describe the 4Ws Problem Canvas and how each block contributes to problem scoping.

Q.3: Discuss the difference between supervised and unsupervised learning models with examples from the document.

Q.4: Explain how neural networks work, including the roles of the input, hidden, and output layers.

Q.5: Evaluate the importance of creating a virtual environment for Python projects and how it is done using Anaconda.