Get ISACA AAIA Dumps Questions [2026] To Gain Brilliant Result [Q59-Q83]

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Get ISACA AAIA Dumps Questions [2026] To Gain Brilliant Result

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ISACA AAIA Exam Syllabus Topics:

Topic	Details
Topic 1	Auditing Tools and Techniques: This section of the exam measures the skills of AI auditors and centers on auditing AI systems using appropriate tools and methods. It includes audit planning and design, sampling methodologies specific to AI, collecting audit evidence, using data analytics for quality assurance, and producing AI audit outputs and reports, including follow-up and quality control measures.
Topic 2	AI Operations: It covers managing AI-specific data needs—including collection, quality, security, and classification—applying development lifecycle methodologies with privacy and security by design, change and incident management, testing AI solutions, identifying AI-related threats and vulnerabilities, and supervising AI deployments.
Topic 3	AI GOVERNANCE AND RISK: It encompasses understanding different AI models and their life cycles, guiding AI strategy, defining roles and policies, managing AI-related risks, overseeing data privacy and governance, and ensuring adherence to ethical practices, standards, and regulations.

NO.59 An IS auditor is assessing the implementation of AI tools for evidence collection involving multiple data sources. Which of the following outcomes BEST indicates that AI-driven evidence collection has improved the audit process?

Extended reporting timelines that allow for AI model retraining

Reduced time spent gathering data with fewer errors in evidence compilation

Elimination of human judgment in data and evidence analysis

Ability to rely on unstructured data with minimal cleansing

NO.60 An IS auditor notes that an AI model achieved significantly better results on training data than on test dat a. Which of the following problems with the model has the IS auditor identified?

Underfitting

Overfitting

Generalization

Bias

NO.61 Which of the following is the BEST way to mitigate data poisoning in an AI model?

Rely on external third-party model providers.

Increase training data set size.

Implement robust data validation protocols.

Use simpler algorithms to improve explainability.

NO.62 An organization is using information gathered from customer accounts to train its AI chatbot. Which of the following is the GREATEST risk associated with this practice?

Disclosure of personal information

AI bias

Transparency

AI model hallucinations

NO.63 Which of the following is the MOST important reason to establish AI governance structures that extend beyond regulatory compliance?

To align with global AI data privacy standards

To mitigate reputational risk associated with public scrutiny of AI systems

To ensure ethical integrity throughout the AI life cycle

To establish guardrails limiting AI system functionality to approved use cases

NO.64 Which of the following techniques would be MOST effective as part of incident management procedures for a prompt injection attack?

Fine-tune the AI model.

Scan inputs for code-like structure of text.

Deploy input validation to sanitize abuse prompts.

Monitor the prompts for excessive special characters.

NO.65 When using off-the-shelf AI models, which of the following is the MOST appropriate way for organizations to approach vendor management?

Ensure a minimum of three quotes have been obtained for market research and comparison.

Establish responsibility and clear terms for model updates and support.

Only use models from vendors with globally recognized accreditation.

Use the vendor only if the contract has been reviewed by the information security department.

NO.66 Which of the following is the MOST important reason for applying regular software updates to AI systems operating in high-risk environments?

To safeguard the systems against AI-powered zero-day exploits

To accelerate model training cycles and enhance processing speed

To reduce the need for human oversight of model outputs

To address vulnerabilities and reduce the risk of output integrity attacks

NO.67 A digital bank utilizes an AI system to generate credit scores. Which of the following would BEST mitigate the risk of sudden and unexplained changes in a borrower’s credit score?

Ensuring the system is periodically reviewed and calibrated by human experts to maintain stability in predictions

Using only data from the last six months to one year to avoid outdated information affecting the credit score

Allowing the AI to operate fully autonomously to prevent processing delays

Obtaining and validating the credit scores from third-party agencies to cross-check AI-generated results

NO.68 Which of the following is MOST important to consider when auditing an organization’s AI procedures?

Frequency of AI system updates to enhance security

Employee training on recognized AI best practices

Backup and recovery in the event of an AI data breach

AI data validation and filtration to prevent data poisoning

NO.69 A retail organization uses an AI model to analyze customers’ purchase history in order to offer personalized discounts. Which of the following practices represents the MOST ethical use of customer data?

Utilizing customer purchase data only after obtaining explicit consent and allowing customers to opt out

Retaining and analyzing all available customer data to ensure unbiased recommendations

Providing the public with access to review and audit the data set of collected customer information

Sharing customer purchase data with third-party vendors to improve advertising and communication

NO.70 The BEST way to prevent sensitive information disclosure by large language model (LLM) chatbots is through:

Manual monitoring

Access controls

Data sanitization

Data masking

NO.71 An IS auditor is interviewing management about implemented controls around machine learning (ML) models deployed in the production environment. Which of the following schedules for reviewing the performance of a deployed model would be of GREATEST concern to the auditor?

After changes to hardware and software platforms

After functionality changes

One time prior to migrating to production

On an annual recurring basis

NO.72 An IS auditor is reviewing a dataset used by a university to train a predictive machine learning model. Which of the following MOST likely indicates risk that the model could not process all data and make necessary correlations?

Student Number field in integer format

Grade Level field in float format

Final Grade Percent field in object format

Having an undergraduate degree in Boolean format

NO.73 Which of the following is the BEST way to ensure data fed into an AI model aligns with business objectives?

Normalize the data within expected tolerances

Change to new data sources

Document the data input requirements

Define new data attributes

NO.74 Which of the following is the GREATEST risk associated with the use of AI coding tools by software developers?

Excessive reliance on AI tools to accomplish routine development tasks

Increased likelihood of human biases in code

Introduction of security vulnerabilities by AI tools

Difficulty in training developers due to the complexity of AI tools

NO.75 When auditing an AI system, which of the following steps ensures that AI model behavior is aligned with organizational objectives?

Algorithm debugging

Data transformation

Model training

Problem framing

NO.76 From a data appropriateness and bias perspective, which of the following should be of GREATEST concern when reviewing an AI model used in a credit scoring system?

The model incorporates the applicant’s loan history to assess spending habits.

The model utilizes historical credit data to predict future credit behavior.

The model considers the applicant’s income level as a key factor in the credit decision.

The model uses postal codes as a primary factor in determining creditworthiness.

NO.77 Which of the following is the BEST reason that recurrent neural networks enable language translation of documents?

The process is sequential.

The process uses association rules.

The process is specialized for grid data.

The process is unidirectional.

NO.78 A generative AI system has a validation control in place to reject inappropriate questions by checking them against built-in ethical standards. Which of the following enables malicious actors to circumvent this control through prompt engineering?

Submitting the same questions in a foreign language translated by another AI-based system

Presenting theoretical situations to justify the reason for asking the questions

Asking the same questions later when the algorithm has changed after further learning

Randomly placing keywords unrelated to the main topic

NO.79 An organization shares an AI model with external partners. One partner reports that sensitive data has been inadvertently exposed through the model’s outputs. Which of the following is the IS auditor’s BEST recommendation?

Limit the model’s outputs to anonymized results while investigating further.

Audit the data pipelines of all partners to identify the source of the leak.

Disable the shared model and notify partners of the potential breach.

Retrain the model immediately and implement privacy-preserving techniques.

NO.80 Which of the following is the MOST important risk for an IS auditor to consider when reviewing the adoption of an AI system?

Costs associated with AI system maintenance

Immaturity of AI systems in the industry

Bias in AI system decision making

Resistance to the use of AI technology

NO.81 An IS auditor is considering the integration of AI techniques into the audit sampling process. Which of the following BEST enables the auditor to identify high-risk transactions within large data sets for targeted sampling?

Natural language processing (NLP)

Optical character recognition (OCR)

Rule-based analytics

Predictive analytics

NO.82 Which of the following is the MOST important purpose of conducting a risk assessment for AI models within an organization?

Categorizing data used by the AI model

Defining mitigation strategies for AI deployment

Monitoring AI model performance on an ongoing basis

Determining whether AI model outputs align with established use cases

NO.83 A healthcare organization uses data clustering to group patients by medical history for personalized treatment recommendations. Which of the following is the GREATEST privacy risk associated with this practice?

The clustering requires more data, increasing the risk of a privacy breach.

Clustering increases the complexity of the model, making data harder to anonymize.

Irrelevant features in the data may result in inaccurate or biased treatments.

Clusters can reveal sensitive personal information depending on how the information is presented.