- A
Legal requirements in government constitutions that regulate AI development
Why wrong: Government regulation is AI law — constitutional AI is a specific training methodology using principle-based self-critique.
- B
A training approach using a set of ethical principles for the model to self-critique and revise outputs
Constitutional AI builds principle-following into training — the model evaluates its outputs against a constitution to improve helpfulness and harmlessness.
- C
Ensuring AI models are built on open standards that any organisation can adopt
Why wrong: Open standards are industry interoperability — constitutional AI is a specific technique for instilling ethical reasoning during training.
- D
A framework requiring AI models to have explicit constitutional rights and protections
Why wrong: AI rights are a philosophical/legal debate — constitutional AI is a technical training methodology, not a legal rights framework.
Quick Answer
The correct answer is that constitutional AI is a training approach using a set of ethical principles for the model to self-critique and revise outputs. This method, pioneered by Anthropic, works by providing the AI with a written “constitution” of rules—such as being helpful, harmless, and honest—so the model learns to evaluate and adjust its own responses against those guidelines, reducing reliance on constant human feedback. On the Microsoft Azure AI Fundamentals AI-900 exam, this concept tests your understanding of how responsible AI development is operationalized through technical guardrails; a common trap is confusing constitutional AI with simple rule-based filtering or assuming it requires human oversight at every step. Remember the key distinction: the model critiques itself using a fixed set of principles, not external reviewers. For a memory tip, think of it as “AI with a built-in conscience”—the constitution acts as its ethical compass for self-correction.
AI-900 Practice Question: Describe features of generative AI workloads on Azure
This AI-900 practice question tests your understanding of describe features of generative ai workloads on azure. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
What is 'constitutional AI' and how does it relate to responsible AI development?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
A training approach using a set of ethical principles for the model to self-critique and revise outputs
Constitutional AI is a training approach developed by Anthropic where a language model is fine-tuned using a set of written ethical principles (a 'constitution'). The model learns to self-critique its own outputs against these principles and revise them to be more helpful, harmless, and honest. This directly supports responsible AI development by embedding ethical guardrails into the model's behavior without relying solely on human feedback at every step.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Legal requirements in government constitutions that regulate AI development
Why it's wrong here
Government regulation is AI law — constitutional AI is a specific training methodology using principle-based self-critique.
- ✓
A training approach using a set of ethical principles for the model to self-critique and revise outputs
Why this is correct
Constitutional AI builds principle-following into training — the model evaluates its outputs against a constitution to improve helpfulness and harmlessness.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Ensuring AI models are built on open standards that any organisation can adopt
Why it's wrong here
Open standards are industry interoperability — constitutional AI is a specific technique for instilling ethical reasoning during training.
- ✗
A framework requiring AI models to have explicit constitutional rights and protections
Why it's wrong here
AI rights are a philosophical/legal debate — constitutional AI is a technical training methodology, not a legal rights framework.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse 'constitutional' with government law or legal rights, when in fact it refers to a custom set of ethical principles used for model self-critique and revision.
Detailed technical explanation
How to think about this question
Under the hood, Constitutional AI uses a two-stage process: first, a supervised fine-tuning phase where the model generates critiques and revisions based on the constitution, and second, a reinforcement learning from AI feedback (RLAIF) phase where the model learns to prefer constitutionally aligned outputs. A subtle behavior is that the model can identify and correct subtle biases or harmful content in its own responses, reducing the need for extensive human annotation. In a real-world scenario, this allows an AI assistant to refuse a harmful request while explaining why, based on its internal constitution.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Questions learners often ask
What does this AI-900 question test?
Describe features of generative AI workloads on Azure — This question tests Describe features of generative AI workloads on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: A training approach using a set of ethical principles for the model to self-critique and revise outputs — Constitutional AI is a training approach developed by Anthropic where a language model is fine-tuned using a set of written ethical principles (a 'constitution'). The model learns to self-critique its own outputs against these principles and revise them to be more helpful, harmless, and honest. This directly supports responsible AI development by embedding ethical guardrails into the model's behavior without relying solely on human feedback at every step.
What should I do if I get this AI-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.
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