Unique Top-selling AAIA Exams – New 2026 ISACA Pratice Exam [Q19-Q42]

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Unique Top-selling AAIA Exams – New 2026 ISACA Pratice Exam

Advanced in AI Audit Dumps AAIA Exam for Full Questions – Exam Study Guide

QUESTION 19
Which of the following should be an IS auditor’s GREATEST concern when using a predictive AI tool to analyze data abnormalities?

The false positives or false negatives generated by the AI tool

The ease of integrating the AI tool with existing data audit software

The speed at which the AI tool processes large data sets

The cost of implementing and maintaining the AI tool for data audit purposes

QUESTION 20
When reviewing contracts or other lengthy documentation in the planning phase, which of the following tools would BEST extract relevant information?

Robotic process automation (RPA)

Autoregressive sequencing model

Predictive analytics

Natural language processing

QUESTION 21
In the context of an AI implementation, which of the following actions is MOST critical for an organization’s change management program?

Ensuring the organization has a dedicated AI governance committee

Reviewing documentation for AI system changes, updates, and patches

Conducting a comprehensive risk assessment specific to AI-related changes

Verifying that all employees have completed mandatory AI ethics training

QUESTION 22
Which of the following provides the BEST evidence that an organization’s AI integration is aligned with its overall technology strategy?

Key performance indicators (KPIs) have been defined for AI systems.

The organization has developed and socialized AI use policies.

Management promotes a culture of innovation.

The IT department includes many individual contributors with AI expertise.

QUESTION 23
When auditing a machine learning (ML) solution, false positives can BEST be assessed by examining the level of:

Precision

Completeness

Accuracy

Recall

QUESTION 24
Which of the following is the PRIMARY purpose of an AI acceptable use policy?

Establishing guidance on the ethical use of AI

Outlining AI usage monitoring procedures

Educating employees on where to find and how to use AI tools

Explaining the distinction between different types of AI

QUESTION 25
For a sales promotion, an AI system sorts customer attributes into several categories by analyzing transaction history. Verifying which of the following would BEST validate the effectiveness of this process?

Stress tests are regularly conducted to maintain consistent AI performance.

The applied methodology adequately reflects business objectives.

Sensitive attributes are converted to other data types prior to input.

Sampling of AI output is conducted to identify unusual decisions.

QUESTION 26
Which of the following should be done FIRST when developing an incident management process for AI threats?

Establish incident classification procedures

Define clear roles and responsibilities

Configure SIEM for security alerts

Develop incident escalation procedures

QUESTION 27
A retail organization uses an AI model to forecast inventory based on customer purchasing trends and updates the model quarterly. The model recently failed to recognize a surge in demand during a popular shopping season. Which of the following issues does this situation BEST demonstrate?

Limited data set diversity impacting model training

Data drift impacting system forecasting

Overfitting issues due to a small training data set

Lack of outlier checks in data affecting forecast accuracy

QUESTION 28
Which of the following considerations should be prioritized when using an AI tool to select a sample for conducting an audit of a financial institution’s transaction processing system?

The transparency of the sampling process

The ability to process large volumes of data

The speed of sample generation

The historical performance in previous audits

QUESTION 29
Which of the following should be an IS auditor’s GREATEST concern if class imbalance is identified in training data for an AI model?

Data drift

Data quality

Model bias

Model overfitting

QUESTION 30
An IS auditor is auditing a financial system in which a generative AI tool is used to identify trends in batches of 4,000 rows, while the generative AI tool has a limit of 3,000 tokens. Which of the following is the GREATEST concern?

The AI will process only a portion of the data set.

The AI will prioritize high-value entries.

The AI will reject the data set and not analyze the data.

The AI output will be biased toward the first 3,000 tokens.

QUESTION 31
An organization is training a skin cancer recognition model. Photographs collected from which of the following sources would present the GREATEST risk associated with data integrity?

Research facility receiving grants for cancer research

Open-source data augmentation files

Social media platform with images from all over the world

Cohort of dermatologists with signed patient consent forms

QUESTION 32
An organization is adopting AI for its procurement and inventory teams, raising concern from stakeholders that they will lose their jobs due to AI. Which of the following is the BEST way for the IS auditor to assess whether the potential negative impacts were minimized?

Review human-centered design practices to determine how they were considered.

Review the AI roadmap for short-term and long-term milestones.

Review how the project management team collected feedback in engagement activities.

Review the current state assessment of how AI may impact the organization.

QUESTION 33
When converting data categories before training an AI model, which of the following scenarios represents the GREATEST risk?

One-hot encoding the data attribute car colors for the options red, blue, green, black, white

Creating dummy variables for the data attribute dog breed for the options labrador, terrier, beagle

One-hot encoding the data attribute customer rewards category for the options economy, business, first class

Creating dummy variables for the data attribute product flavor for the options vanilla, chocolate, strawberry, banana

QUESTION 34
Which of the following is the GREATEST data quality risk when using an AI tool to assist with audit procedures?

Utilizing unstructured data sources without standardized preprocessing

Training models on historical audit results generated prior to AI adoption

Embedding AI audit tools in transactional systems without user training

Applying automated anomaly detection without human oversight

QUESTION 35
Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?

Differences of opinion regarding model types

Difficulties in preventing the input of biased data

Performance issues due to excessive computation

Algorithms changing as AI continues to learn

QUESTION 36
Which of the following is the GREATEST benefit of using large language models (LLMs) to identify potential control deficiencies?

Independently verifying audit options based on control assessments

Summarizing multiple process narratives for inconsistencies

Simulating financial transactions for internal control testing

Allowing the auditor to replace walkthroughs with automated testing

QUESTION 37
A bank uses a video-based know your customer (KYC) verification process. Cybercriminals exploit this process by using deepfake technology to impersonate bank customers. Which of the following countermeasures is the BEST way for the bank to mitigate this risk?

Requesting additional identity and address documents for verification

Leveraging AI-based liveness detection during video verification

Encrypting all customer data and communication

Discontinuing the use of the video-based verification process

QUESTION 38
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

QUESTION 39
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 40
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 41
Which of the following is the BEST recommendation to mitigate excessive agency when implementing an AI system as a browser extension?

Minimize browser extension functionality.

Remove user access to browser extensions.

Maximize browser extension functionality.

Use open-source browser extensions.

QUESTION 42
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.

ISACA AAIA Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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.

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ISACA AAIA Exam Syllabus Topics:

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