AAIA Exam Dumps - Reliable Way to Pass and Get Certified

AAIA Exam Dumps – Reliable Way to Pass and Get Certified

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July 3, 2025

If you are looking for a reliable and comprehensive way to prepare for your AAIA certification exam, look no further than AAIA exam questions. These AAIA exam dumps questions are designed to help you assess your knowledge, identify your strengths and weaknesses, and improve your chances of passing the exam on the first try. These AAIA dumps questions cover all the topics and concepts that are essential for the AAIA exam, so you can be sure that you are fully prepared. Test ISACA AAIA free dumps below.

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1. Which of the following is MOST important to consider when deciding whether to implement an AI solution?

The cost of AI implementation

The speed of AI implementation

The space required for AI hardware

The ethical implications of AI

2. 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

3. 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.

4. 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.

5. The GREATEST benefit of using AI auditing techniques over traditional methods is that AI auditing techniques can:

eliminate the need for human intervention.

ensure full compliance with regulations.

identify complex data patterns.

significantly reduce data bias.

6. 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

7. 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.

8. 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.

9. 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

10. Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?

Applying data clustering techniques to anonymize data sets

Enforcing strict data retention policies to limit storage duration

Implementing a transparent data consent management process

Regularly conducting AI system performance testing for accuracy

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11. 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

12. Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?

Cost of resources required for AI model training

Number of users interacting with the AI model

Frequency of AI model retraining

AI model accuracy in predicting actual outcomes

13. An IS auditor is performing an inventory audit for a manufacturing organization.

Which of the following would BEST enable the auditor to identify types of products without assistance from organizational staff?

Natural language processing

Speech modeling

Robotic process automation (RPA)

Computer vision

14. The PRIMARY purpose of maintaining an audit trail in AI systems is to:

Facilitate transparency and traceability of decisions.

Analyze model accuracy and fairness.

Measure computational efficiency.

Ensure compliance with regulatory standards for A

15. 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 A

16. When an IS auditor is reviewing results from an AI system, which of the following would cause the GREATEST risk?

Inability to identify where an AI system is housed

System output not being checked for inconsistencies

Cascading failures of AI system outputs

Difficulty of documenting AI algorithm processes

17. An organization deploys an AI recruitment platform to screen job applicants. The IS auditor identifies that the platform's decisions may be influenced by model bias.

Which of the following risk mitigation strategies is BEST for the auditor to recommend?

Implement a process to periodically test the AI system for biases and adjust parameters as needed.

Suspend the use of the AI system until the training data can be verified for fairness and compliance.

Retrain the AI model using an external data set certified for inclusivity and fairness.

Require manual reviews of all AI-generated recruitment decisions before hiring is finalized.

18. 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

19. To confirm the fairness of AI model decisions, the BEST way to collect reliable evidence during an AI audit is by:

Analyzing system metadata.

Testing the model with a curated sample data set.

Interviewing developers.

Observing the system’s interactions with end users.

20. Which of the following is the MOST effective way an IS auditor could use generative AI to plan an audit of a new database storing transactional data?

Identifying separation of duties conflicts for database data changes

Developing architecture diagrams

Identifying technology-specific risk and considerations

Summarizing meeting transcripts from interviews with database administrators (DBAs)

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21. Which of the following is the MOST important consideration when auditing the data used for training an AI model?

Timeliness

Predictability

Representativeness

Understandability

22. An organization is evaluating change management practices for AI-based decision support models.

Which of the following BEST demonstrates effective AI-focused change management?

Engaging an independent expert to review the model's accuracy and precision on a quarterly basis

Assigning a single data science team member to adjust the model in order to establish accountability

Documenting model updates and retraining sessions to ensure traceability

Deploying two separate copies of the model after each adjustment to compare results

23. 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

24. When auditing the transparency of an AI system, which of the following would be the MOST effective way to understand the model's decision-making process?

Evaluating the diversity of the training data set

Analyzing the complexity of the algorithms used

Assessing the computational cost of the model

Reviewing the explainability of AI outputs

25. 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

26. Which of the following strategies used by modelers to enhance data accuracy has the GREATEST risk of bias and information loss?

Filling blank attributes in records with the mean, median, or mode within a grouping

Identifying and deleting duplicate entries in the data set

Separating multiple data attributes within one field into individual attribute columns

Placing numerical data into bins or buckets for a manageable quantity of correlations and result analyses

27. An organization uses an AI-powered tool to detect and respond to cybersecurity threats in real time. An IS auditor finds that the tool produces excessive false positives, increasing the workload of the security team.

Which of the following techniques should the auditor recommend to BEST evaluate the tool's effectiveness in managing this issue?

Use a log analysis tool to examine the types and frequency of alerts generated.

Implement a benchmarking tool to compare the system's alerting capability with industry standards.

Conduct penetration testing to assess the system's ability to detect genuine threats.

Deploy a machine learning (ML) validation tool to increase the model's accuracy and performance.

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