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WorksheetsGrade IX Assessment
Total questions: 14
Worksheet time: 7mins
What is AI used for?
Healthcare
Education
Transportation
All of the Above
Which one of the following is the second stage of AI project cycle?
Data Exploration
Data Acquisition
Modelling
Problem Scoping
Which of the following comes under Problem Scoping?
System Mapping
4Ws Canvas
Data Features
Web scraping
your challenge is to make sure that no unauthorised person enters
the premises. For this, you: (choose one)
Get photographs of all the authorised people.
Get photographs of all the unauthorised people.
Get photographs of the premises in which the diamond has been kept.
Get photographs of all the visitors.
Under ________ stage of AI Project Cycle, we look at various parameters which affect the problem we wish to solve so that the picture becomes clearer.
Modelling
Evaluation
Problem Scoping
Data Exploration
The business or project requirements for the AI model is reviewed in
Problem Scoping
Data Acquisition
Data Exploration
Modelling
The ____ helps to summarize all the key points into one single template for Problem Scoping.
4ws of problem scoping
Problem Statement Template
Summary Template
Problem Understanding Template
What are the stages of the AI project cycle in order?
1. evaluation
2. data
3. modeling
4. planning
1. data
2. planning
3.evaluation
4. modeling
1. planning
2.data
3.modeling
4. evaluation
Which one of the following is used to collect data for the AI project cycle
Data Acquisition
Modelling
Evaluation
Project Scoping
Which of the following is not a part of the 4Ws Problem Canvas?
Who?
Why?
What?
Which?
What is the process of defining the problem to be solved in the AI project cycle?
Ignore context and constraints when defining the problem
Skip data gathering and jump straight to problem articulation
Identify the specific issue, understand context and constraints, gather data, articulate problem statement.
Define multiple unrelated problems simultaneously
Which step involves building and training the AI model?
Modelling
Evaluating and fine-tuning the model
Collecting and preparing data
Step 1: Defining the problem
Why is data collection important in AI projects?
Data collection in AI projects is primarily for entertainment purposes.
AI models can function effectively without data collection.
Data collection is crucial for training AI models and enabling them to make accurate predictions.
Data collection is only necessary for AI projects with small datasets.
In which stage visualization and analysis of data is performed.
Data Acquisition
Data Exploration
Modeling
