[ CBSE CLASS 8 / ARTIFICIAL INTELLIGENCE / CHAPTER 1 / 2026-27 ]

Class 8 AI: AI Project Lifecycle – Questions and Answers

The Class 8 AI Project Lifecycle chapter breaks an AI project into stages: problem scoping, data acquisition, data exploration, modelling, evaluation and deployment. Students learn what happens at each stage and why the order matters.

Practise 6 questions Printable worksheet
Skills: Algorithmic thinking · Decomposition · Linked to Part 2: Artificial Intelligence

[ WORKED EXAMPLE ]

What is the first stage of the AI project lifecycle?

Answer: Problem scoping.

  1. You must first understand the problem you are solving.
  2. This stage is called problem scoping.
  3. Every later stage depends on it.

What this chapter is about

Students learn the stages of an AI project and the job of each stage, from defining the problem to putting the model to use.

Problem scoping uses the 4Ws: Who has the problem, What is the problem, Where it happens and Why solving it matters.

The lifecycle is decomposition and algorithmic thinking at project scale: a big goal broken into ordered steps, with loops back when evaluation shows problems.

[ HANDS-ON ACTIVITY ]

Sort it: which lifecycle stage?

A class is building an AI that spots diseased plant leaves. Which stage is each task?

5 left · choose an item

Where does “Deciding who the app is for and why farmers need it” belong?

            [ PRACTICE MODE / 6 QUESTIONS ]

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            Algorithmic thinkingQuestion 1 of 6 · Score 0

            What is the first stage of the AI project lifecycle?

            Choose one answer

            All AI Project Lifecycle questions with answers

            Try each one first, then open it to check the answer and the reasoning.

            Q1What is the first stage of the AI project lifecycle?
            • Problem scoping
            • Modelling
            • Evaluation
            • Deployment

            Answer: A. Problem scoping

            Hint: Before collecting data, what must you be clear about?

            1. You must first understand the problem you are solving.
            2. This stage is called problem scoping.
            3. Every later stage depends on it.

            Skill: Algorithmic thinking · Level: easy · Report an error

            Q2Which order of stages is correct?
            • Problem scoping → Data acquisition → Data exploration → Modelling → Evaluation
            • Modelling → Problem scoping → Evaluation → Data acquisition → Data exploration
            • Evaluation → Modelling → Data acquisition → Problem scoping → Data exploration
            • Data exploration → Evaluation → Problem scoping → Modelling → Data acquisition

            Answer: A. Problem scoping → Data acquisition → Data exploration → Modelling → Evaluation

            Hint: You cannot test a model before building it, or build it before you have data.

            1. Define the problem, then collect data.
            2. Explore the data, then build the model.
            3. Finally evaluate it, and loop back if needed.

            Skill: Algorithmic thinking · Level: medium · Report an error

            Q3Students collect photos of healthy and diseased leaves for their project. Which stage is this?
            • Data acquisition
            • Evaluation
            • Problem scoping
            • Deployment

            Answer: A. Data acquisition

            Hint: They are gathering data.

            1. Acquisition means getting or collecting data.
            2. Photos are the data for this project.
            3. So this is data acquisition.

            Skill: Decomposition · Level: easy · Report an error

            Q4Students make charts to check how many photos they have of each disease and find blurry images. Which stage is this?
            • Data exploration
            • Modelling
            • Deployment
            • Problem scoping

            Answer: A. Data exploration

            Hint: They are studying the data before building the model.

            1. Exploration means understanding the data: counts, gaps and errors.
            2. Charts and checks help here.
            3. Finding problems now saves a poor model later.

            Skill: Decomposition · Level: medium · Report an error

            Q5Why must a model be evaluated on data it did not see during training?
            • A model can memorise its training data and still fail on new examples
            • Training data is always wrong
            • New data makes the model faster
            • Evaluation is not needed

            Answer: A. A model can memorise its training data and still fail on new examples

            Hint: A student who memorises answers may fail a new question.

            1. Testing on training data only shows that the model remembers it.
            2. New, unseen data shows how it will work in real life.
            3. That is why evaluation uses a separate test set.

            Skill: Abstraction · Level: challenge · Report an error

            Q6The 4Ws problem canvas used in problem scoping asks which four questions?
            • Who, What, Where, Why
            • When, Which, Whose, Whom
            • Who, When, How, How much
            • What, Which, While, Why

            Answer: A. Who, What, Where, Why

            Hint: Think: who has the problem, what it is, where it happens, why it matters.

            1. Who: the people affected.
            2. What: the problem itself. Where: the situation or place.
            3. Why: the benefit of solving it.

            Skill: Decomposition · Level: medium · Report an error

            Frequently asked questions

            What does the Class 8 AI Project Lifecycle AI chapter cover?

            The Class 8 AI Project Lifecycle chapter breaks an AI project into stages: problem scoping, data acquisition, data exploration, modelling, evaluation and deployment. Students learn what happens at each stage and why the order matters.

            Which computational thinking skills does AI Project Lifecycle use?

            AI Project Lifecycle mainly practises algorithmic thinking, decomposition. It links to Part 2: Artificial Intelligence.

            Where are the official CBSE AI Project Lifecycle questions?

            The official questions are in the CBSE Class 8 Computational Thinking and AI handbook for 2026-27, free on the CBSE Academic website. The practice on this page is original and mapped to the same chapter.

            More Class 8 chapters