AAIA · domain
AI Governance And Risk
This domain covers establishing and auditing AI governance and risk management. It tests identifying shadow AI, enforcing policy compliance, securing third-party AI services, and monitoring model drift and data quality. Questions are scenario-based, requiring selection of effective controls and tools, often within Microsoft Azure environments.
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What to know about AI Governance And Risk
Candidates must be able to select and apply Azure-native tools to discover shadow AI, enforce governance policies, assess third-party compliance, and monitor model drift. The most important thing is aligning controls with the organization's AI governance policy and risk tolerance.
Use Azure Monitor and Log Analytics to detect unauthorized AI services.
Apply Microsoft Purview for data governance and compliance policy enforcement.
Audit third-party AI via Azure Policy and compliance certifications.
Monitor model drift with Azure Machine Learning and Application Insights.
Watch out for
Common AI Governance And Risk exam traps
- ▸Assuming network firewalls alone can detect shadow AI; they miss cloud API calls and embedded AI features.
- ▸Treating non-compliance as a technical bug rather than a governance failure requiring policy enforcement and escalation.
- ▸Overlooking third-party AI risks; contracts and certifications are critical, not just technical integration.
Question index
All AI Governance And Risk questions (71)
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You are auditing a model's 'Robustness' against adversarial attacks. Which test is most appropriate?
Hard2An AI auditor is evaluating a natural language processing model used to screen job applicants. The model was trained on five years of historical hiring data. The auditor finds that the model's selection rate for female candidates is 72% of the rate for male candidates. According to the EEOC Uniform Guidelines, what is the auditor's PRIMARY concern?
Hard3An AI governance committee is reviewing a proposal to deploy a generative AI chatbot for customer service. The committee wants to ensure that the chatbot's responses do not violate company policies or regulatory requirements. Which control should be implemented to provide the highest level of assurance?
Medium4Which THREE risks should be explicitly managed in an 'AI Governance' program?
Hard5A company's AI governance policy requires 'Model explainability'. Which tool or technique best satisfies this requirement for complex deep learning models?
Medium6Which THREE components are critical for a robust 'AI Governance' framework?
Hard7You are auditing a model's 'Data Pre-processing' step. Which practice is a major concern regarding data privacy?
Medium8You are auditing an organization's AI deployment in Microsoft Azure. The Chief Risk Officer requires a central dashboard to monitor AI model performance drift and data quality metrics across all deployed services. Which tool should you confirm is configured to provide these insights?
Medium9An organization uses AWS SageMaker. As an auditor, you need to verify that model lineage and versioning are being captured to satisfy the AI risk assessment requirement for reproducibility. Which feature ensures that every model training job is recorded with its data sources?
Medium10During an audit, you find that the AI training data includes personally identifiable information (PII) that was not anonymized. Which regulation does this most likely violate?
Medium11An organization is deploying an AI system that makes autonomous decisions about credit limit increases. The board asks the AI auditor to explain the concept of 'human in the loop' as it applies to this system. Which statement best describes the auditor's explanation?
Easy12Which TWO of the following are core components of an AI incident response strategy?
Easy13When auditing an 'AI Model Lifecycle', which phase occurs immediately after the 'Model Training' phase?
Medium14Which TWO of the following are typical 'Model Risk Management' (MRM) pillars?
Medium15Which TWO of the following are examples of 'Model Risk Management' (MRM) controls that must be validated during an audit?
Hard16What is the goal of a 'Human-in-the-loop' (HITL) control in an AI system?
Easy17Which TWO of the following are primary components of an AI model risk management inventory?
Medium18In the context of 'AI Compliance', what is a 'Model Card'?
Hard19During an AI risk assessment, you notice that the 'Model Risk Management' (MRM) framework does not mandate independent validation for models categorized as 'High Impact'. What is the most significant consequence?
Hard20During an audit of an AI-based fraud detection system, you find that the model's performance is monitored only through overall accuracy. The system processes highly imbalanced data with a fraud rate of 0.5%. Which risk does this monitoring approach most likely fail to detect?
Hard21You are auditing a firm using LLMs (Large Language Models). Which risk is most specific to generative AI compared to traditional predictive models?
Hard22What is the purpose of an 'AI Policy' within an organization?
Easy23Which component of an AI policy is most important for establishing organizational accountability?
Easy24What is the key difference between 'AI Ethics' and 'AI Compliance'?
Easy25A board of directors asks you to define the 'AI Risk Appetite'. Which approach best satisfies the governance requirement?
Easy26Which THREE of the following are potential risks associated with AI model 'Drift' that an auditor must account for?
Medium27As part of an AI audit, you are checking the 'AI Transparency' requirement. Which documentation artifact is essential to provide to external regulators to explain the model's design, intended use, and limitations?
Easy28You are assessing the risk of 'Data Poisoning' in a retail AI model. Which control should you implement during the data ingestion pipeline to mitigate this risk?
Medium29When drafting an AI policy, you need to define the 'Human-in-the-Loop' (HITL) requirement. Which of the following represents a best-practice control for HITL?
Easy30Which 'AI Risk Mitigation' strategy is most effective for reducing 'Data Leakage' in training sets?
Medium31Which TWO of the following are examples of AI governance 'Inputs'?
Medium32What is the primary function of an 'AI Ethics Board'?
Easy33Which THREE of the following are core components of a robust AI Governance and Risk Assessment Framework?
Medium34What is the primary function of an 'AI Audit Log'?
Easy35A board of directors requests a quarterly report on AI risk exposure. Which component of the NIST AI Risk Management Framework should you prioritize to demonstrate that the board's AI policy is being operationally enforced?
Easy36Which TWO of the following are essential when performing an 'AI Risk Assessment'?
Medium37You are auditing a 'Model Lifecycle' and find that the decommissioning process is not defined. What is the impact?
Hard38You are auditing a financial institution's AI governance framework. The organization has a documented AI risk appetite statement, but you find that individual AI use cases are approved without any reference to it. Which action should you recommend to remediate this gap?
Medium39Which AI risk is best mitigated by conducting a 'bias audit' on the training dataset?
Hard40Which THREE factors must be evaluated when assessing the 'Fairness' of an AI model?
Hard41You are assessing 'Model Security'. Which attack vector specifically exploits the AI training phase?
Hard42You are auditing a 'Model Monitoring' dashboard. Which metric is most indicative of a potential degradation in the model's reliability over time?
Hard43A global retailer has deployed an AI-powered dynamic pricing engine across 14 countries. The internal audit team discovers that the system adjusts prices based on inferred customer gender and ethnicity derived from browsing behavior. The organization has a formal AI ethics policy that prohibits discriminatory pricing. Which action should the lead AI auditor recommend FIRST?
Medium44You are auditing an organization's AI governance framework and find that AI systems are being developed by various business units without any central oversight. Which governance structure would best address this issue?
Easy45When auditing model fairness in a production environment using IBM Watson OpenScale, which metric would you specifically validate to ensure the model is not violating protected class regulations?
Hard46An organization is scaling its AI governance program. You need to automate the identification of 'Shadow AI' in the corporate network. Which tool would be the most effective to gain visibility into unauthorized AI model API usage?
Medium47During an audit of an AI system, you notice that 'Model validation' is performed by the same team that developed the model. Why is this a concern?
Medium48Which action is required when a model is found to be 'Non-compliant' with the internal AI Governance policy?
Hard49Which role is primarily responsible for ensuring that the AI governance framework is followed in daily operations?
Easy50A firm uses a third-party AI service. Which control is most critical to ensure compliance with the firm's own AI governance policy?
Medium51In a financial services firm, you are auditing the 'Explainability' of a credit scoring model. The model uses complex non-linear features. Which technique should you verify is being used to provide local explanations for individual credit decisions?
Hard52What is the main role of the 'AI Risk Assessment' document in a project lifecycle?
Easy53A firm uses a 'Federated Learning' approach. Which governance benefit does this provide?
Medium54An AI auditor is assessing the governance framework for a machine learning model that predicts patient readmission risk in a hospital network. The model informs decisions about post-discharge care. Which TWO of the following are the most critical governance controls the auditor should verify? (Choose two.)
Hard55Which document is the primary source for establishing the scope of an AI audit?
Easy56Which THREE of the following should be included in an AI Policy document to ensure compliance and ethical alignment?
Medium57A data scientist proposes using a 'black-box' model for a high-stakes loan approval process. Which action does your AI audit framework require?
Medium58You are reviewing a model risk management (MRM) framework for an AI system using NVIDIA NeMo Guardrails. What is the primary purpose of this tool in a risk mitigation strategy?
Medium59You are reviewing the 'AI Incident Response Plan'. Which element is essential for compliance?
Medium60When auditing an AI system for regulatory compliance, you find that data lineage is broken between the feature store and the training pipeline. Which control is most likely deficient?
Hard61Which technique is most appropriate for mitigating 'Concept Drift' in a production model?
Hard62During an audit of an AI-based fraud detection system at a bank, the auditor discovers that the model's performance has degraded significantly over the past quarter. The data science team reports that the model was trained on transaction patterns from two years ago and has not been retrained. Which risk does this situation PRIMARILY represent?
Medium63An auditor is asked to review the AI model inventory. What information must be present in the inventory for every model to satisfy basic regulatory requirements?
Easy64An auditor is reviewing an organization's AI risk management process. The organization has identified several AI risks but has not prioritized them. Which TWO factors should the auditor recommend be used to prioritize AI risks? (Choose two.)
Hard65You find that the 'Inference API' for a model allows 'Prompt Injection' attacks. Which governance failure is most likely?
Hard66Which THREE criteria are necessary for an AI system to be deemed 'Trustworthy' under most governance frameworks?
Hard67What is the purpose of 'Model Versioning' in an AI audit context?
Easy68What is the primary objective of 'Board-level AI Governance'?
Easy69You are assessing a company's 'AI Governance Committee'. Which action best demonstrates effective board-level oversight?
Medium70Which artifact should an auditor request to verify 'Model Governance' during the model life cycle?
Medium71You are reviewing the AI Incident Response Plan. Which scenario constitutes a 'High' severity AI incident that requires immediate board notification under most enterprise risk frameworks?
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Frequently asked questions
- What does the AI Governance And Risk domain cover on the AAIA exam?
- Candidates must be able to select and apply Azure-native tools to discover shadow AI, enforce governance policies, assess third-party compliance, and monitor model drift. The most important thing is aligning controls with the organization's AI governance policy and risk tolerance.
- How many questions are in this domain?
- This page lists all 71 AI Governance And Risk questions in the AAIA question bank. The actual exam draws from this domain proportionally to its weighting in the official exam blueprint.
- What is the best way to practise this domain?
- Start with a short focused session (10 questions) to identify gaps, then work through explanations. Repeat with a longer session once the weak areas feel solid.
- Can I practise only AI Governance And Risk questions?
- Yes — the session launcher on this page filters questions to this domain only. Choose any session length for inline explanations and scoring.