[Q102-Q122] AAIA Exam Brain Dumps – Study Notes and Theory [Jul-2026]

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AAIA Exam Brain Dumps – Study Notes and Theory [Jul-2026]

100% Guaranteed Results AAIA Unlimited 328 Questions

ISACA AAIA Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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 3	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.

QUESTION 102
Which of the following represents the PRIMARY benefit of reviewing model cards during AI model acquisition and risk assessment?

Complying with documentation requirements

Identifying model vulnerabilities and training needs

Establishing legally binding contracts for model use

Understanding model intent and performance context

QUESTION 103
Which of the following is the MOST important task when gathering data during the AI system development process?

Stratifying the data

Isolating the system

Cleaning the data

Training the system

QUESTION 104
During audit planning, an IS auditor reviews the correlation matrix. Which variable pair from an electrical generation facility has the MOST significant correlation?

Electricity demand and machine torque is 0.0

Daily precipitation and generator efficiency is 0.09

Temperature and generator effectiveness is -0.85

Rotational speed and tool wear is 0.56

QUESTION 105
During an audit of an investment organization’s AI-powered software, an IS auditor identifies a potential security risk. What is the GREATEST risk associated with staff exfiltrating organizational data to a generative AI tool?

Data contamination due to biased AI model outputs

Unauthorized data disclosure

Potential business disruptions

Excessive reliance on AI-generated insights

QUESTION 106
An organization utilizes an off-the-shelf generative AI solution for internal business processing. According to the principle of shared responsibility, which of the following areas remains the PRIMARY responsibility of the organization?

Maintaining the underlying AI compute infrastructure

Conducting initial training of the base foundation model

Ensuring the model ‘ s core safety and security systems are robustly designed

Defining appropriate usage policies and enforcing identity and access management (IAM)

QUESTION 107
Which of the following BEST helps in detecting AI model drift?

Engaging periodic external reviews of model outputs and identifying root causes

Establishing a model performance baseline and implementing continuous monitoring

Using linear regression techniques and conducting cluster analysis

Evaluating model accuracy rates for stability and performing qualitative data analysis

QUESTION 108
An AI model predicts vehicle component failures using data collected at different frequencies and formats based on car type. Which of the following is the BEST course of action when evaluating data input requirements for the model?

Standardize sensor data frequency and formats before model training.

Merge sensor data into a single data set regardless of format and frequency.

Train separate models for each car type to simplify preprocessing.

Prioritize the use of internally generated maintenance logs.

QUESTION 109
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.

QUESTION 110
An insurance organization deployed an AI tool for assigning customer risk levels. An IS auditor discovers that the learning algorithm is vulnerable to adversarial attacks. Which of the following is the BEST course of action?

Review the speed of learning adaptation.

Assess the response time to the attacks.

Evaluate the number of system logs maintained.

Validate the process for handling manipulated inputs.

QUESTION 111
Which of the following is the GREATEST risk associated with deploying an AI system with ineffective anomaly detection?

Inconsistent AI system configuration management

Undetected data poisoning that impacts AI decision quality

Delayed incident response to AI model drift

Failure to comply with AI reporting standards

QUESTION 112
Which of the following controls MOST effectively helps to ensure an AI model is resilient against external threats?

AI data set anonymization

Monitoring of AI model developers

Monitoring of AI access logs

AI model configuration testing

QUESTION 113
An IS auditor notes that the combined number of records in the training, validation, and testing sets exceeds the total number of records in the original data set. What is the GREATEST risk?

The datasets were created in the incorrect order.

Data leakage occurred from overlapping records.

A sufficient number of records were not used in training.

The validation dataset is larger than the training set.

QUESTION 114
While evaluating a complex machine learning (ML) model used for regulatory compliance in a financial institution, which of the following should the IS auditor do to BEST ensure transparency?

Document sources and data processes.

Create dashboards to show outputs.

Provide periodic model audit reports.

Use tools that explain model decisions.

QUESTION 115
An IS auditor notes that an AI model achieved significantly better results on training data than on test data.
Which of the following problems with the model has the IS auditor identified?

Underfitting

Overfitting

Generalization

Bias

QUESTION 116
An organization has deployed a generative AI system for customer support that includes frequent updates to the AI model after deployment. Which of the following represents the GREATEST risk?

Lack of a change management policy specific to AI

Overreliance on manual review of AI model outputs

Lack of continuous monitoring for model changes

Lack of a dedicated AI governance committee

QUESTION 117
An organization is reviewing its existing data governance framework after implementing an AI- based document repository solution. Which of the following should be the PRIMARY consideration?

Data retention policy

Data classification

Data enrichment

Qualitative data collection

QUESTION 118
Which of the following is the MOST important reason for measuring the AI system ‘ s performance against predefined metrics in a staging environment?

To ensure the AI system complies with privacy standards before production deployment

To confirm the AI system has been trained on the most recent dataset

To validate that the AI system meets requirements prior to release

To verify that the AI system ‘ s user interface is aligned with accessibility standards

QUESTION 119
A car rental company is developing an AI system to dynamically adjust rental pricing based on demand, location, and customer profiles. Which of the following is the MOST important reason to conduct specific testing during development?

To ensure the model’s pricing logic aligns with business strategy

To ensure the system integrates seamlessly with legacy booking platforms

To confirm that the AI system can handle high volumes of customer queries

To verify that pricing decisions do not result in discriminatory outcomes

QUESTION 120
After AI training data has been tested for biases, which of the following is MOST important to check to validate the effectiveness of the testing?

Feedback on data validation is obtained from key stakeholders

Possible impacts from AI outputs remain within the acceptable risk level

AI processes will meet expected service turnaround time

Sensitive information from users is securely masked before input

QUESTION 121
An IS auditor notes the combined number of records utilized within the training, validation, and testing data sets exceeds the total number of records in the original data set. Which of the following is MOST important for the auditor to determine?

Whether the training, validation, and testing data sets were created in the correct order

Whether data leakage occurred from utilizing overlapping records in the data sets

Whether a sufficient number of records were utilized in the training data set

Whether the validation data set utilized the same number of records as the training data sets

QUESTION 122
An organization has exhausted its internal data sources to train an AI model. Which of the following is the BEST source to obtain new data?

Data from web scraping

Extended retention of internal data

Shadow data

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ISACA AAIA Exam Syllabus Topics:

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