[Jan-2026] Study resources for the Valid AAIA Braindumps! [Q88-Q110]

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[Jan-2026] Study resources for the Valid AAIA Braindumps!

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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.

NEW QUESTION 88
An AI audit reveals that a loan approval model has a significantly higher rejection rate for a specific demographic group. What should be management’s PRIMARY response?

Accept the audit findings as within risk tolerance.

Determine if audit sampling is sufficient.

Conduct comprehensive bias analysis.

Synthesize more data of the affected demographic group.

NEW QUESTION 89
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

NEW QUESTION 90
Which use case for an AI model to be used by a food delivery service would pose ethical risk to the organization?

Correlating time, cost, delivery distance, and customer satisfaction metrics to issue coupons to customers receiving substandard service

Basing driver retention and termination decisions on the number of delivered orders per total hours worked as compared to an industry benchmark

Comparing total food preparation and delivery time to an industry benchmark to set key performance and risk indicators for individual restaurants

Using customer service metrics for service speed and food quality to predict customer retention and forecast revenue

NEW QUESTION 91
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

NEW QUESTION 92
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

NEW QUESTION 93
An IS auditor for a veterinary clinic was informed that the dog breed categorical variable is necessary for the predictive model. Which of the following introduces the MOST risk?

Data scaling was not utilized.

Clustering was not utilized.

Ordinal label encoding was utilized.

One-hot encoding was utilized.

NEW QUESTION 94
An organization is using a large language model (LLM) to assist in evaluating loan applications, but the training data used is known to be incomplete. Which of the following is the GREATEST associated risk?

Unfair loan decisions

Delays in loan approval

Reduced customer satisfaction

Increased manual processing of applications

NEW QUESTION 95
Which of the following controls helps mitigate the risk of competitors poisoning data utilized by a machine learning (ML) model performing sentiment analysis of product reviews?

Peer reviewing code that acquires product reviews from social media posts

Hiring a marketing firm to text links to customers requesting product reviews for monetary compensation

Augmenting the unbalanced product review data set with the use of oversampling by the model developer

Requiring customers to authenticate access to their accounts prior to writing product reviews

NEW QUESTION 96
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

NEW QUESTION 97
Which of the following is the PRIMARY benefit of implementing a robust data governance framework specific to AI solutions in an organization?

It focuses on enhancing the accuracy and reliability of AI model predictions.

It accelerates AI implementation timelines by fully automating data preparation processes.

It fosters adherence to industry regulations while minimizing the risk of data breaches and privacy violations.

It reduces the need for human oversight, ensuring seamless and autonomous data governance.

NEW QUESTION 98
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

NEW QUESTION 99
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

NEW QUESTION 100
A healthcare AI tool recommends treatments with high success rates but significant risk. The hospital prioritizes patient safety over innovation. What is the BEST course of action?

Adjust the AI’s parameters to align with the hospital’s risk tolerance.

Discontinue using the AI tool and rely solely on doctor expertise.

Obtain patients’ consent for the use of their data by the AI tool.

Use the AI tool only for low-risk situations.

NEW QUESTION 101
Which of the following is the PRIMARY benefit of implementing a robust data governance framework specific to AI solutions in an organization?

It focuses on enhancing the accuracy and reliability of AI model predictions.

It accelerates AI implementation timelines by fully automating data preparation processes.

It fosters adherence to industry regulations while minimizing the risk of data breaches and privacy violations.

It reduces the need for human oversight, ensuring seamless and autonomous data governance.

NEW QUESTION 102
An IS auditor is looking to expedite reporting for an audit with complex issues. Which of the following would be the MOST effective way for the auditor to use generative AI?

Developing action items discussed in closing meetings for management action plans

Developing a draft of an executive summary based on detailed findings and audit scope

Revising audit conclusions with precise verbiage to describe the audit observations

Revising audit background and scope information based on new information from management

NEW QUESTION 103
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.

NEW QUESTION 104
Which role is BEST suited to define the implementation roadmaps for adopting AI solutions?

Risk management committee

Steering committee

Product management

Internal audit

NEW QUESTION 105
An insurance company uses an AI model to set premium rates. To align with AI-related policies on fairness, which of the following is the FIRST course of action?

Training alternate AI models and comparing biases with the primary model

Reviewing AI model training data to identify potential biases

Modifying the AI model’s training dataset to address potential biases

Allowing customers to contest premium rates provided by the AI model

NEW QUESTION 106
Which of the following is MOST important to have in place when initially populating data into a data frame for an AI model?

The box charts, histograms, scatterplots, and Venn diagrams that identify correlations and outliers

The code for separating data into training and testing data sets

An analysis of exploratory data that checks for incorrect data types, null values, and duplicate entries

An approved risk assessment for including, excluding, or subsequently dropping data attributes from the model

NEW QUESTION 107
Which of the following is the MOST important course of action for an organization prior to allowing end users to utilize an AI tool?

Develop an AI policy with guidelines on appropriate use.

Determine the impact to the disaster recovery plan (DRP).

Implement baseline performance metrics.

Ensure a cybersecurity insurance clause is in place to include the use of AI.

NEW QUESTION 108
An IS auditor identifies that an AI model occasionally invents nonexistent medical test results. Which of the following recommendations would BEST mitigate this risk?

Decreasing the top-p sampling

Increasing the model context

Increasing the temperature

Enabling frequency penalties on rare words

NEW QUESTION 109
Which of the following is the GREATEST risk associated with using AI in audit planning?

Increased planning costs

Scope creep

Incomplete data

Limited knowledge

NEW QUESTION 110
An IS auditor reviews an AI tool using K-means to cluster customers. One cluster shows very high spending but low product diversity. What should the auditor recommend?

Document the algorithm failed because high spending customers did not exhibit high product diversity.

Treat the cluster as a potentially valid segment of loyal customers with limited product interest.

Increase the number of clusters to better capture variations in spending behavior.

Replace K-means clustering with a supervised learning model for more accurate analysis.

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ISACA AAIA Exam Syllabus Topics:

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