WorksheetsAI Project Cycle
Total questions: 20
Worksheet time: 8mins
Name
Class
Date
1.
What is the first step in the AI project cycle?
a)
Data Collection
b)
Problem Definition
c)
Model Training
d)
Evaluation
2.
Which of the following is a key component of data preparation?
a)
Data Visualization
b)
Data Cleaning
c)
Model Deployment
d)
Problem Statement
3.
In the AI project cycle, what does model training involve?
a)
Collecting data
b)
Creating algorithms to learn from data
c)
Displaying results
d)
Defining the project scope
4.
What is the purpose of the evaluation phase in the AI project cycle?
a)
To gather more data
b)
To assess the model’s performance
c)
To deploy the model
d)
To define the problem
5.
Which of the following best describes "data collection"?
a)
Gathering information relevant to the project
b)
Testing the model
c)
Cleaning the data
d)
Presenting results
6.
What does the deployment phase involve?
a)
Building a model
b)
Implementing the model in a real-world environment
c)
Collecting data
d)
Cleaning data
7.
Why is data cleaning important in the AI project cycle?
a)
It helps to visualize data.
b)
It ensures data is accurate and usable for training.
c)
It reduces the amount of data needed.
d)
It makes the model run faster.
8.
Which of the following is an example of a performance metric used during evaluation?
a)
Accuracy
b)
Data size
c)
Model complexity
d)
Training time
9.
After which phase is the feedback from the model usually gathered?
a)
Data Collection
b)
Model Training
c)
Deployment
d)
Data Preparation
10.
What is the final step in the AI project cycle?
a)
Model Deployment
b)
Continuous Monitoring and Improvement
c)
Data Collection
d)
Problem Definition
11.
Which of the following is a type of AI that learns from experience?
a)
Reactive AI
b)
Limited Memory AI
c)
Theory of Mind AI
d)
Self-aware AI
12.
What role does 'supervised learning' play in AI?
a)
It uses unlabeled data to train the model.
b)
It requires labeled data to teach the model.
c)
It is not used in AI.
d)
It focuses on model deployment.
13.
Which algorithm is commonly used for classification tasks in AI?
a)
Linear Regression
b)
Decision Trees
c)
K-Means Clustering
d)
Reinforcement Learning
14.
What is the significance of 'big data' in AI?
a)
It slows down model training.
b)
It provides large datasets for better model accuracy.
c)
It reduces the need for data cleaning.
d)
It is irrelevant to AI development.
15.
Which application of AI involves understanding and generating human language?
a)
Computer Vision
b)
Natural Language Processing
c)
Robotics
d)
Expert Systems
16.
Which one of the following is the second stage of AI project cycle?
a)
Data Exploration
b)
Data Acquisition
c)
Modelling
d)
Problem Scoping
17.
Which of the following comes under Problem Scoping?
a)
System Mapping
b)
4Ws Canvas
c)
Data Features
d)
Web scraping
18.
Which of the following is not valid for Data Acquisition?
a)
Web scraping
b)
Surveys
c)
Sensors
d)
Announcements
19.
If an arrow goes from X to Y with a "-" (minus) sign, it means that
a)
If X increases, Y decreases
b)
The direction of relation is opposite
c)
If X increases, Y increases
d)
It is a bi-directional relationship
20.
Which of the following is not a part of the 4Ws Problem Canvas?
a)
Who?
b)
Why?
c)
What?
d)
Which?
100 %
