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Certified Responsible AI Governance & Ethics (C|RAGE)
What the Certified Responsible AI Governance & Ethics (C|RAGE) exam covers and what it costs, with a free 30-question practice test and an explanation for every answer.
- Level
- Professional
- Topic areas
- 3
- Free practice questions
- 30
- Full question bank
- 112 questions
What the Certified Responsible AI Governance & Ethics (C|RAGE) exam covers
The topic areas in our Certified Responsible AI Governance & Ethics (C|RAGE) question bank, with each one's share of the 112 practice questions.
| Topic | Share | Questions |
|---|---|---|
| AI Technology Ecosystem and Ethical Considerations | 42% | 47 |
| AI Strategy and Governance | 35% | 39 |
| AI Compliance, Legal Frameworks and Vendor Compliance | 23% | 26 |
Certified Responsible AI Governance & Ethics (C|RAGE) cost and format
| Certification | C|RAGE |
|---|---|
| Vendor | EC-Council |
| Level | Professional |
| Status | Active |
Last checked October 22, 2026 against the official EC-Council exam page.
Certified Responsible AI Governance & Ethics (C|RAGE) sample questions
The first 5 questions from the free practice test. Open a question to see the answer and why it is right.
Question 1AI Technology Ecosystem and Ethical Considerations
Which statement best describes the difference between artificial intelligence and machine learning?
- AMachine learning is a subset of AI in which systems learn patterns from data rather than following only fixed rules
- BMachine learning is a rule-based system that replaces AI by listing every decision in advance
- CArtificial intelligence is a hardware component that is installed in servers to speed up computation
- DMachine learning and artificial intelligence are unrelated fields that share only a name in common
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Correct answer: AMachine learning is a subset of AI that learns patterns from data rather than relying only on explicit rules. The other statements reverse or misstate the relationship.
Question 2AI Strategy and Governance
Which element is essential when an organisation first sets its AI governance structure?
- AA governance structure that changes weekly so that it can respond to every new trend
- BA single engineer who holds all of the decisions about every AI system in the company
- CAn informal agreement that teams will raise problems in the corridor when they occur
- DClear roles and decision rights for approving, monitoring and retiring AI systems
Show answer and explanationHide answer
Correct answer: DClear roles and decision rights for the full AI lifecycle make governance effective. A single decision-maker, informal agreements and constantly changing structures each leave gaps.
Question 3AI Compliance, Legal Frameworks and Vendor Compliance
Which regulation takes a risk-based approach to AI, classifying systems by their risk level and imposing obligations accordingly?
- AThe Fair Packaging and Labeling Act, which governs the labels placed on consumer products in the US
- BThe Sarbanes-Oxley Act, which governs financial reporting controls for public companies in the US
- CThe Payment Card Industry Data Security Standard, which governs the handling of card payment data
- DThe EU AI Act, which classifies AI systems by risk and sets obligations by risk tier
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Correct answer: DThe EU AI Act uses a risk-based classification with obligations that depend on the risk tier. The other regulations and standards govern different subjects.
Question 4AI Technology Ecosystem and Ethical Considerations
Which ethical principle requires that people be told when they are interacting with an AI system or when an AI system makes a decision about them?
- AEfficiency, which requires the system to produce each output using the fewest computing resources
- BTransparency, which requires disclosure of AI use and its basis for decisions
- CScalability, which requires the system to support a growing number of users over time
- DPortability, which requires the model to be moved between cloud providers without changes
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Correct answer: BTransparency requires disclosure of AI use and the basis of decisions affecting people. Efficiency, scalability and portability are engineering qualities rather than ethical disclosure duties.
Question 5AI Strategy and Governance
Which governance artefact records the decision to approve an AI system for deployment, including the risks accepted and the conditions attached?
- AA holiday calendar that lists the dates on which the governance committee will not meet
- BA marketing brief that describes the features of the AI product for the next launch campaign
- CAn approval record that documents the risk acceptance, conditions and the accountable approver
- DA list of desk assignments for the teams that are working on the AI project this quarter
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Correct answer: CAn approval record documents the decision, the risks accepted, the conditions and the accountable approver, which makes governance auditable. The other artefacts are unrelated to approval.
How to prepare for Certified Responsible AI Governance & Ethics (C|RAGE)
- Read the official EC-Council outline first (exam page), so you know exactly what is in scope.
- Give the most time to AI Technology Ecosystem and Ethical Considerations and AI Strategy and Governance: together they make up 77% of the questions.
- Take the free 30-question practice test and note which topics you miss.
- Go back to the weak topics, then test again. A practice score shows where to study; it does not predict your exam result.
Full Certified Responsible AI Governance & Ethics (C|RAGE) question bank
All 112 questions with answers and explanations, as a PDF, an online practice exam, or both.
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