Available Number of Questions: Maximum of
90 Questions
Exam Name: ISACA Advanced in AI Risk
Related Certification(s):
Isaca AAIR Certification
Isaca AAIR Exam Topics - You’ll Be Tested in Actual Exam
Earning the ISACA Advanced in AI Risk certification signals that a professional can manage AI-related risks across an organization's strategy, operations, and governance structures. The exam begins with AI life cycle risk management, which grounds everything else. Candidates must understand how risk surfaces at each stage of an AI system's development. That includes data sourcing, model training, deployment, and ongoing monitoring. Risk doesn't appear only at launch. Knowing where vulnerabilities emerge across the full life cycle shapes how practitioners build controls and mitigation strategies. That technical grounding connects directly to AI risk program management, which shifts focus toward organizational execution. A risk program must be structured, repeatable, and aligned with business objectives. Candidates are expected to understand how to design and operate such programs, including defining roles, setting risk appetite, and tracking performance over time. Program management without governance, however, is incomplete. AI risk governance and framework integration ties the entire discipline together by situating AI risk within broader enterprise governance structures. Professionals working at this level must know how AI-specific risks fit into existing frameworks like COBIT or ISO standards. The ISACA Advanced in AI Risk exam tests whether candidates can bridge technical risk knowledge with organizational policy. That's a rare combination. Professionals who pass are equipped to advise leadership, shape AI policy, and ensure that risk controls don't exist in isolation but are embedded into how the organization actually operates and makes decisions.
Isaca AAIR Exam Short Quiz
Attempt this Isaca AAIR exam quiz to self-assess your preparation for the actual Isaca ISACA Advanced in AI Risk exam. CertBoosters also provides premium Isaca AAIR exam questions to pass the Isaca ISACA Advanced in AI Risk exam in the shortest possible time. Be sure to try our free practice exam software for the Isaca AAIR exam.
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Isaca AAIR Exam Quiz
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IsacaAAIR
Q1:
A risk practitioner learns that an AI system used by a manufacturer for quality control (QC) has produced inaccurate responses that could potentially impact user safety. Which of the following is the risk practitioner's BEST recommendation to mitigate this risk?
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AImplement human-in-the-loop reviews.
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BConduct bias and fairness testing.
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CAugment the model with synthetic data.
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DProvide AI prompt engineering training.
IsacaAAIR
Q2:
Which of the following is the GREATEST benefit of incorporating AI technology for data asset management?
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AJustifying the use of synthetic data to augment smaller datasets
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BReducing the initial impacts of data poisoning and exfiltration attacks
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CProviding more rapid identification of overfitting during model training
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DAutomating data cleaning and metadata tagging for large datasets
IsacaAAIR
Q3:
Which of the following is a risk practitioner's BEST justification for embedding AI risk considerations into acceptable use policies?
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AAddressing the potential for shadow AI by defining an allow list for AI tools
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BApplying uniform risk controls across diverse business functions
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CMaintaining alignment of enterprise tolerance across decision-making systems
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DAssigning AI risk accountability to business unit leadership
IsacaAAIR
Q4:
A credit-scoring AI solution exhibits steadily declining accuracy despite unchanged input distributions. Which of the following should a risk practitioner consider to be the GREATEST risk?
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ATechnical delays affecting credit score updates
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BUnderfitting resulting from shortened training cycles
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CConcept drift leading to faulty decisions
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DIncreased model retraining costs
IsacaAAIR
Q5:
An organization has deployed an AI system to automate critical data analysis functions. Which of the following is the MOST appropriate way for the risk practitioner to assess the multiple sources of risk associated with this situation?
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APrioritize the risk factors most likely to generate substantial harm.
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BQuantify the financial impact of competitors' realized risk events on AI initiatives.
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CRate each risk factor independently as a basis for ordering mitigation actions.
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DDocument the exploitable technical limitations of all AI system components.
