Class 9 Exam  >  Class 9 Notes  >  Artificial Intelligence (AI) for Class 9  >  Practice Questions: Problem Scoping

Practice Questions: Problem Scoping | Artificial Intelligence (AI) for Class 9 PDF Download

Q1. Which of the following is the first stage of the AI Project Cycle?
(a) Modelling
(b) Evaluation
(c) Problem Scoping
(d) Data Acquisition

Ans: (c) Problem Scoping
Problem Scoping is the first step where the problem to be solved is identified and framed clearly.

Q2. What is the main purpose of the 'Modelling' stage in the AI project cycle?
(a) To collect data
(b) To deploy the solution
(c) To develop AI algorithms based on the explored data
(d) To clean the data

Ans: (c) To develop AI algorithms based on the explored data
In the modelling phase, AI algorithms are built using the prepared and explored data to solve the identified problem.

Q3. In the CottonAce app example, what type of data was collected during Data Acquisition?
(a) Only pest images
(b) Farmer names, pesticide usage, and images of pests
(c) Video recordings of pests
(d) Only cotton crop yield numbers

Ans: (b) Farmer names, pesticide usage, and images of pests
Data collected included images of pests, farmer names, village names, farm size, and pesticide usage.

Q4. Which stage involves analyzing the data for patterns and trends?
(a) Deployment
(b) Problem Scoping
(c) Data Exploration
(d) Evaluation

Ans: (c) Data Exploration
Data Exploration is about identifying patterns and trends in the collected data to help inform modelling decisions.

Q5. What was the main problem faced by cotton farmers as described in the textbook?
(a) Too much rain damaging the crops
(b) Inability to harvest cotton on time
(c) Pest infestation by Pink Bollworm
(d) Lack of proper seeds

Ans: (c) Pest infestation by Pink Bollworm
Cotton crops were frequently infected with the Pink Bollworm, which was hard to detect and control by small farmers.

Q6. What is the purpose of the Evaluation phase in the AI Project Cycle?
(a) Deploying the final AI model
(b) Identifying trends in raw data
(c) Testing the performance and accuracy of the model
(d) Selecting the problem

Ans: (c) Testing the performance and accuracy of the model
Evaluation ensures the AI model works as intended and helps in refining it before deployment.

Q7. Which of the following is NOT a part of the 4Ws Problem Canvas?
(a) Who
(b) What
(c) When
(d) How

Ans: (d) How
The 4Ws are Who, What, Where, and Why. "How" is not included in the 4Ws canvas.

Q8. What is the goal of Problem Scoping in an AI project?
(a) Train the AI model
(b) Develop the AI app
(c) Identify and define the problem to be solved
(d) Deploy the solution

Ans: (c) Identify and define the problem to be solved
Problem Scoping helps clearly define what problem the AI project is going to address.

Q9. How did the CottonAce app benefit the farmers?
(a) Reduced smartphone usage
(b) Increased rainfall
(c) Reduced pesticide costs and improved profit margins
(d) Increased dependence on technology

Ans: (c) Reduced pesticide costs and improved profit margins
The app led to a drop in pesticide costs by 38% and increased profit margins by up to 26.5%.

Q10. Why is it important to use a Problem Statement Template in AI projects?
(a) To list all types of AI models
(b) To summarize the 4Ws of problem scoping
(c) To learn coding
(d) To collect farmer details

Ans: (b) To summarize the 4Ws of problem scoping
The template helps summarize stakeholders, problem, context, and the benefit of the solution in a structured way

The document Practice Questions: Problem Scoping | Artificial Intelligence (AI) for Class 9 is a part of the Class 9 Course Artificial Intelligence (AI) for Class 9.
All you need of Class 9 at this link: Class 9
31 videos|52 docs

FAQs on Practice Questions: Problem Scoping - Artificial Intelligence (AI) for Class 9

1. What is the importance of problem scoping in the context of project management?
Ans. Problem scoping is crucial in project management as it defines the boundaries and objectives of a project. It helps stakeholders understand the specific issues to be addressed, ensuring that resources are allocated effectively and that the project stays on track. By clarifying the scope, teams can avoid scope creep, which can lead to delays and budget overruns.
2. How can one effectively identify the key problems during the scoping phase?
Ans. To effectively identify key problems during the scoping phase, one can conduct stakeholder interviews, surveys, and workshops. Analyzing existing data and documentation also helps in understanding the context and the challenges faced. Utilizing techniques like root cause analysis can further aid in pinpointing the underlying issues that need to be addressed.
3. What techniques can be used to ensure comprehensive problem scoping?
Ans. Several techniques can be employed to ensure comprehensive problem scoping, including brainstorming sessions, mind mapping, and the use of SWOT analysis (Strengths, Weaknesses, Opportunities, Threats). Additionally, creating a problem statement and defining measurable objectives can help clarify the project’s focus and direction.
4. What are the common pitfalls to avoid during problem scoping?
Ans. Common pitfalls during problem scoping include failing to engage all relevant stakeholders, being too vague in defining the problem, and not considering the project's constraints such as time, budget, and resources. It is also important to avoid making assumptions without data, as this can lead to misaligned objectives and ineffective solutions.
5. How does effective problem scoping contribute to the overall success of a project?
Ans. Effective problem scoping contributes to the overall success of a project by ensuring that all team members and stakeholders have a shared understanding of the objectives and challenges. It leads to better planning, resource allocation, and risk management. By addressing the right problems from the outset, projects are more likely to meet their goals and deliver value to stakeholders.
Related Searches

MCQs

,

Free

,

Previous Year Questions with Solutions

,

Semester Notes

,

Objective type Questions

,

video lectures

,

study material

,

Practice Questions: Problem Scoping | Artificial Intelligence (AI) for Class 9

,

Summary

,

mock tests for examination

,

Practice Questions: Problem Scoping | Artificial Intelligence (AI) for Class 9

,

past year papers

,

practice quizzes

,

Practice Questions: Problem Scoping | Artificial Intelligence (AI) for Class 9

,

Extra Questions

,

Sample Paper

,

ppt

,

Exam

,

pdf

,

Important questions

,

shortcuts and tricks

,

Viva Questions

;