AAIR · domain
AI Risk Program Management
Practise RAM questions covering identification, installation, speeds, dual-channel, and troubleshooting for the AAIR exam.
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What to know about AI Risk Program Management
RAM tests your ability to identify, install, and troubleshoot memory types, speeds, and configurations for PCs.
Identifying DDR3 vs DDR4 vs DDR5 physical and electrical differences
Matching RAM speed (MHz) to motherboard and CPU support
Calculating total memory capacity from module size and slots
Troubleshooting common RAM errors like beep codes and blue screens
Why learners struggle
Why AI Risk Program Management questions are commonly missed
RAM questions are commonly missed because learners confuse physical form factors (DIMM vs SO-DIMM) and fail to distinguish between memory speed (MHz) and latency (CL).
- ·DIMM vs SO-DIMM — desktop vs laptop form factor confusion
- ·DDR3 vs DDR4 vs DDR5 — notch position and voltage differences
- ·MHz vs CL — speed vs latency trade-offs in performance
- ·Single-channel vs dual-channel — bandwidth impact misconception
- ·ECC vs non-ECC — error correction support in servers vs desktops
- ·32-bit vs 64-bit — maximum addressable RAM limit
Watch out for
Common AI Risk Program Management exam traps
- ▸Confusing DDR3 and DDR4 notch positions and voltage requirements
- ▸Assuming dual-channel requires identical size modules only
- ▸Mixing ECC and non-ECC RAM in a single system
- ▸Forgetting that 32-bit OS limits usable RAM to 4 GB
Question index
All AI Risk Program Management questions (83)
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Which THREE metrics should be tracked to assess the 'Risk' of an AI model in production?
Medium2A firm is using the NIST AI Risk Management Framework to document its AI risk program. Which approach best ensures that AI risk metrics are dynamic?
Hard3Which TWO documents are essential to include in the AI Risk Project 'Review Pack'?
Medium4Which TWO factors should be included in an AI risk appetite statement?
Medium5Which document is essential for defining the roles and responsibilities within an AI Risk Program?
Easy6When integrating AI risk into the broader ERM (Enterprise Risk Management) framework, which approach is most effective?
Hard7When documenting an AI Risk Program, what should be included in the 'AI Asset Register'?
Medium8In the context of AI risk management, what does the 'Human-in-the-Loop' (HITL) concept primarily aim to achieve?
Easy9Which TWO stakeholders are most important to engage when establishing an AI risk appetite?
Medium10Which role is primarily responsible for ensuring that AI-generated content adheres to intellectual property risk policies?
Medium11An enterprise is establishing an AI Governance Committee. Which organizational structure best ensures that risk management is integrated into the AI development lifecycle?
Medium12An organization discovers that their AI model exhibits bias toward a specific demographic. What is the most important step in the Incident Response process?
Hard13What is 'Shadow AI'?
Easy14Which TWO aspects of 'Data Governance' are critical for AI risk management?
Hard15In a cross-functional AI governance meeting, the Data Science team wants to deploy a new model, but the Legal team is concerned about data privacy. How should the AI Risk Manager resolve this?
Hard16When defining KPIs for an AI Governance program, which metric is most predictive of long-term model robustness?
Hard17When considering the 'Risk of Bias' in an AI system, which THREE components should be audited?
Hard18When addressing 'Explainability' as an AI risk, which approach is most effective for a non-technical stakeholder?
Medium19When drafting a vendor management policy for AI, what is the most important clause to include?
Hard20When assessing the risk of AI-generated content, which factor is the most important for calculating 'Impact'?
Hard21Which of the following is an example of an 'AI Risk Metric'?
Easy22What is the primary responsibility of a 'Model Owner' in an AI risk framework?
Medium23A company is scaling its AI initiatives across five business units. What is the most effective way to ensure consistent risk measurement?
Hard24You are analyzing the risk of a generative AI implementation. Which metric most effectively measures 'model transparency' for a risk dashboard?
Hard25When implementing an AI Risk Management program, which THREE components are necessary for effective monitoring?
Hard26The AI Risk Governance Committee is defining the risk appetite for a new generative AI chatbot. Which THREE factors must be considered to align with organizational risk tolerance?
Hard27Which THREE factors should be considered when assessing the 'Risk Level' of an AI application?
Hard28Which THREE roles should have oversight authority in the AI Risk Program?
Medium29Your organization is implementing an AI Risk Register. Which approach provides the most effective cross-functional coordination for identifying bias in a new HR recruitment AI?
Medium30Which THREE components are necessary for effective cross-functional AI risk coordination?
Hard31A company is utilizing a third-party LLM service. Which risk is specifically heightened by this arrangement?
Hard32Why is 'Data Lineage' important in an AI risk management program?
Easy33You are defining KPIs for an AI project in a regulated industry. Which metric best captures model reliability over time?
Medium34What is the primary reason for maintaining an 'AI Model Inventory'?
Medium35Which TWO items are considered 'AI Infrastructure' risks?
Easy36Which metric is useful for measuring the 'Efficiency' of an AI risk program?
Medium37Which TWO items are considered 'AI Model Artifacts' that should be kept for audit purposes?
Hard38When designing an AI Risk Committee, which TWO of the following roles are essential for ensuring a holistic view of risk?
Medium39Which TWO teams should define the 'Risk Appetite' for a new AI project?
Easy40You are auditing an AI project. Which finding suggests a failure in AI risk management governance?
Hard41Which TWO tasks are part of the 'AI Risk Assessment' process?
Easy42Which document is the most appropriate starting point for an AI Risk assessment for a new machine learning project?
Medium43Which action should be taken if a model's performance consistently falls outside the 'Risk Appetite' threshold?
Medium44Which activity is a foundational requirement for building a sustainable AI risk program?
Easy45When drafting an AI risk policy, which element must be defined to provide clear guidance on acceptable AI outcomes?
Easy46An enterprise is establishing its AI Governance Committee. Which stakeholder is most critical to include to ensure alignment between AI technical capabilities and the organization's enterprise risk appetite?
Medium47Which phase of the AI lifecycle is most critical for initial risk mitigation?
Easy48An organization is integrating AI risk into its enterprise risk management (ERM) framework. What is the first step in this integration process?
Easy49A project lead argues that AI model performance metrics alone are sufficient for risk management. Why is this incorrect?
Hard50Which THREE actions should be taken when integrating AI risk into the broader ERM (Enterprise Risk Management) framework?
Hard51You are establishing an AI risk appetite framework using the NIST AI RMF. Which action best ensures alignment between AI innovation velocity and organizational risk tolerance?
Medium52When setting up an AI risk monitoring dashboard, what is the most important consideration for ensuring executive buy-in?
Hard53Which stage of the AI lifecycle should risk management activities begin?
Easy54An organization is updating its risk appetite statement for AI. Which specific element should be addressed to manage the 'hallucination' risk of LLMs?
Medium55When coordinating AI risk across a global organization, why is it critical to include local legal counsel in the AI steering committee?
Medium56What is the primary purpose of an 'AI Risk Dashboard' for executive leadership?
Medium57Which documentation is necessary to provide to auditors for an AI system?
Medium58An organization is establishing an AI governance framework. Which approach is most effective for aligning AI risk appetite with enterprise-wide risk management (ERM)?
Medium59You are managing AI supply chain risk. Which control is most critical for third-party AI models?
Hard60To ensure cross-functional coordination, you are designing a workflow for AI incident reporting. Which group should be the first point of contact upon detecting an AI model bias issue?
Medium61Which TWO strategies are recommended for 'Mitigating' AI model bias?
Hard62If an AI model relies on an open-source library that is found to have a security vulnerability, who is responsible for managing this risk?
Hard63Which of the following is a key component of 'AI Risk Governance'?
Easy64When establishing KPIs for an AI program, what is the risk of focusing solely on 'Model Accuracy'?
Medium65What is 'Bias' in the context of AI risk?
Easy66When coordinating between Legal and Data Science teams, what is the best way to handle 'Explainability' requirements?
Medium67When setting KPIs for an AI risk program, which metric is a leading indicator of potential model bias?
Easy68When performing an AI risk assessment, which question is most appropriate to ask?
Medium69In a retail company, which AI risk is most likely to cause direct financial loss?
Medium70Which TWO factors should be documented in an AI Model Card?
Easy71Which TWO actions are required to manage 'Third-Party' AI risks?
Hard72Which THREE areas should be covered in an AI risk management program?
Medium73Which THREE types of 'Bias' need to be managed in an AI project?
Medium74A cross-functional committee is evaluating the deployment of a high-impact AI model. Which TWO factors are critical to include in the initial AI risk assessment to ensure comprehensive coverage?
Hard75Which of the following is a key objective of an AI Risk Management Program?
Easy76Which TWO types of documentation are critical for AI Transparency requirements?
Medium77Which TWO metrics are most appropriate for measuring the effectiveness of an AI Risk Program?
Medium78Which of the following is a classic example of 'AI Hallucination' that needs monitoring?
Easy79Why is it critical to have 'Human-in-the-Loop' (HITL) for high-risk AI decisions?
Medium80Which TWO teams should be involved in the initial risk review for an AI chatbot?
Easy81When an AI model fails in production, what is the 'Post-Mortem' goal?
Hard82Which team is usually responsible for the 'Technical Implementation' of risk controls in an AI model?
Easy83In an AI risk program, how should 'Residual Risk' be treated?
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Frequently asked questions
- What does the AI Risk Program Management domain cover on the AAIR exam?
- RAM tests your ability to identify, install, and troubleshoot memory types, speeds, and configurations for PCs.
- How many questions are in this domain?
- This page lists all 83 AI Risk Program Management questions in the AAIR 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 Risk Program Management questions?
- Yes — the session launcher on this page filters questions to this domain only. Choose any session length for inline explanations and scoring.