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QUIZ: Evolution of the SDLC for AI Era Quiz

Assessment settings

Passing grade required: Yes
Passing grade: 80%

Pass message

Congratulations on passing the quiz!
You’ve demonstrated a strong understanding of how the SDLC is evolving to accommodate AI-specific challenges and the importance of incorporating AI-IRB principles into this new hybrid framework. Keep this momentum going as we explore the next chapters and deepen our knowledge of responsible, ethical AI development.

Fail message

Thank you for completing the quiz.
Your score indicates that some concepts need revisiting—especially around the iterative nature of AI projects and the integration of ethical governance. We recommend reviewing the chapter on how the AI-SDLC hybrid framework addresses the unique challenges of AI, then retaking the quiz to bolster your understanding. Each step strengthens your expertise in building responsible, future-facing AI solutions.

Questions and answer key

1. The traditional SDLC (often referred to as the “waterfall” model) is historically significant because it:

Type: single

Eliminates the need for documentation
Emphasizes a series of strictly linear stages
Has no requirements phase
Only applies to AI systems

Explanation

Correct Answer: B
Explanation: The legacy SDLC traditionally follows a linear or “waterfall” sequence—requirement gathering, design, implementation, testing, deployment, and maintenance. It served as a foundational framework in the early days of software development.

2. One major limitation of the traditional SDLC in the context of AI projects is:

Type: single

It mandates daily scrum meetings
It is often too rigid to accommodate frequent requirement changes and iterative model improvements
It inherently integrates AI governance at every stage

Explanation

Correct Answer: C
Explanation: AI development requires continuous testing, refinement, and learning from data—something the linear, rigid structure of traditional SDLC struggles to support.

3. The AI-SDLC hybrid framework is designed to:

Type: single

Replace all traditional SDLC principles with agile methods only
Integrate iterative processes and AI-IRB principles into the traditional SDLC
Use a rigid waterfall approach without any stakeholder input
Focus exclusively on user interface design

Explanation

Correct Answer: B
Explanation: The AI-SDLC merges the structure of the legacy SDLC with agile, iterative processes and ethical governance principles (AI-IRB), ensuring continuous improvements and responsible AI oversight.

4. Why are AI Institutional Review Board (AI-IRB) principles crucial within the AI-SDLC hybrid framework?

Type: single

They prevent teams from using any user data
They guarantee all AI models are open-source
They embed fairness, transparency, and accountability into AI development
They eliminate the need for project documentation

Explanation

Correct Answer: C
Explanation: AI-IRB principles emphasize ethical governance (e.g., fairness, transparency, accountability) to ensure AI solutions are responsibly developed, mitigating concerns about bias and privacy violations.

5. Compared to traditional software, AI systems require more:

Type: single

Linear, one-time testing phases
Iterative retraining and continuous feedback loops
Strict waterfall project management
Exclusively manual coding without automation

Explanation

Correct Answer: B
Explanation: AI applications rely on data and ongoing model refinement; continuous feedback loops are essential to update AI models and maintain accuracy over time.

6. One benefit of integrating AI into the requirement-gathering phase is:

Type: single

AI can eliminate the need for stakeholder interviews
AI can automate and analyze large volumes of user feedback, helping identify hidden requirements
AI ensures every project uses the exact same requirements
AI bypasses privacy regulations for faster data collection

Explanation

Correct Answer: B
Explanation: By leveraging techniques like natural language processing (NLP) and sentiment analysis, AI can extract useful insights from user inputs and historical data, enhancing the clarity and scope of requirements.

7. In the design phase, AI tools can:

Type: single

Immediately deploy the final product to users
Generate multiple design prototypes automatically, helping teams explore different solutions
Eliminate the testing phase altogether
Perform only manual code reviews

Explanation

Correct Answer: B
Explanation: AI-driven generative design tools can rapidly create various design options based on criteria and constraints, allowing teams to choose the optimal approach before implementation.

8. One key advantage of AI-driven testing is:

Type: single

It only tests a single part of the software
It replaces all human testers entirely, removing any need for oversight
It can automate test-case generation and adapt testing strategies based on historical data
It guarantees zero bugs, making post-deployment maintenance unnecessary

Explanation

Correct Answer: C
Explanation: AI can generate and execute test cases more efficiently than manual methods, improving coverage. Machine learning algorithms also adapt tests by analyzing software behavior, resulting in more robust testing.

9. Why is documentation particularly vital in AI projects?

Type: single

It serves no purpose and is usually skipped in agile environments
It helps teams track decisions, model parameters, and ethical considerations for auditing and transparency
It ensures the AI model remains secret from stakeholders
It is only needed at the deployment phase

Explanation

Correct Answer: B
Explanation: Comprehensive documentation of design decisions, dataset sources, and model assumptions ensures transparency, makes audits feasible, and supports ongoing governance and accountability in AI projects.

10. Which statement best characterizes the AI-SDLC hybrid framework’s overarching goal?

Type: single

To return to fully linear processes of the past
To remove all governance structures for faster delivery
To balance iterative AI development and ethical oversight, fostering responsible innovation
To completely abolish collaboration among stakeholders

Explanation

Correct Answer: C
Explanation: The AI-SDLC hybrid framework weaves together iterative development cycles with AI-IRB ethical principles, ensuring continuous improvement, accountability, and broader stakeholder engagement.