Download ISACA Advanced in AI Audit.AAIA.PremiumDumps.2025-12-27.47q.vcex

Vendor: ISACA
Exam Code: AAIA
Exam Name: ISACA Advanced in AI Audit
Date: Dec 27, 2025
File Size: 19 KB
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Demo Questions

Question 1
Which data preparation method simplifies data correlations but presents the GREATEST risk for introducing bias?
  1. Using the mode of a column to fill individual records where that field is blank
  2. Deleting duplicate or copied entries
  3. Separating multiple data attributes within one field into individual attribute columns
  4. Placing numerical data in bins or buckets
Correct answer: A
Question 2
Which of the following controls BEST helps reduce the risk of hallucinations in an AI model?
  1. Requiring model output explanations
  2. Implementing a human-in-the-loop approach
  3. Improving model transparency
  4. Reducing the model’s creativity score
Correct answer: B
Question 3
Which of the following strategies used by modelers to enhance data accuracy has the GREATEST risk of bias and information loss?
  1. Filling blank attributes in records with the mean, median, or mode within a grouping
  2. Placing numerical data into bins or buckets for a manageable quantity of correlations and result analyses
  3. Separating multiple data attributes within one field into individual attribute columns
  4. Identifying and deleting duplicate entries in the data set
Correct answer: A
Question 4
An IS auditor is auditing an AI system that predicts inventory needs. The system recently failed to predict a stock outage for a key product. Which of the following audit tests would BEST validate the system’s accuracy?
  1. Sensitivity analysis on input variables
  2. Historical testing with past sales data
  3. Unit testing of the forecasting algorithm
  4. Load testing during peak sales periods
Correct answer: B
Question 5
A car insurance company uses an AI model to determine customer premiums. To ensure the ethical use of this model, which of the following testing practices should the company consider to be MOST important?
  1. Running model performance tests on randomized data to improve the model's accuracy
  2. Ensuring demographic data is not used to train models outside of the defined use case
  3. Testing to ensure the model’s predictions do not discriminate based on age or gender
  4. Deploying the model only for a small randomly selected group of existing customers
Correct answer: C
Question 6
An IS auditor is participating in a task force to select an AI solution vendor. The vendor states that their product is only functional with web integration activated. Which of the following is the GREATEST concern?
  1. AI training model environment
  2. Inappropriate algorithms used by the vendor
  3. Data hallucinations and biases
  4. Impacts on employee and contractor workforces
Correct answer: A
Question 7
In the context of an AI implementation, which of the following actions is MOST critical for an organization's change management program?
  1. Conducting a comprehensive risk assessment specific to AI-related changes
  2. Reviewing documentation for AI system changes, updates, and patches
  3. Verifying that all employees have completed mandatory AI ethics training
  4. Ensuring the organization has a dedicated AI governance committee
Correct answer: A
Question 8
A healthcare organization uses an AI model to analyze patient data and provide diagnostic recommendations. Which of the following MOST effectively detects data drift related to the model’s predictions?
  1. Using adversarial testing to simulate scenarios that stress test the model’s predictions
  2. Conducting periodic model retraining to ensure alignment with updated patient data
  3. Comparing incoming patient data distributions with the training data set
  4. Applying overrides to allow healthcare professionals to correct the AI model's recommendations
Correct answer: C
Question 9
When auditing an AI model, an IS auditor notices that the controls over transactional processes are inadequate. Which of the following should the auditor recommend to BEST reduce these risks?
  1. Implement model scorecards.
  2. Clearly define responsibilities for AI risk.
  3. Have the chief risk officer (CRO) perform a risk analysis.
  4. Implement human-in-the-loop processes.
Correct answer: D
Question 10
Which of the following is the GREATEST benefit to an IS auditor using tree-based feature importance?
  1. It determines which specific AI model is the most reliable for migration into production.
  2. It identifies the parameters utilized by the AI model when drawing its conclusions.
  3. It determines which specific AI model contains the most complete source data.
  4. It identifies key data attributes influencing AI model conclusions.
Correct answer: D
Question 11
Which of the following would BEST help an organization justify decisions made by an AI model?
  1. Conducting adversarial testing to evaluate the model's robustness
  2. Implementing a tool for model interpretability
  3. Analyzing key performance indicator (KPI) trends to identify inconsistencies in the model's predictions
  4. Auditing the AI model to assess its alignment with business objectives and policies
Correct answer: B
Question 12
An IS auditor is planning to audit an AI model for algorithmic bias. Which of the following is the BEST way to test the model?
  1. Apply anecdotal evidence assessments.
  2. Develop Pareto front analysis.
  3. Use balanced model training.
  4. Assess the feature disparity index.
Correct answer: D
Question 13
A deepfake video is presented as evidence in a court case, falsely implicating an individual in criminal activities. Which of the following is an IS auditor’s BEST recommendation to help ensure the authenticity of digital evidence?
  1. Employing specialized tools designed to detect deepfake artifacts and inconsistencies
  2. Storing all digital evidence on secure remote cloud servers and on local servers
  3. Requiring digital watermarks for any evidence presented in legal proceedings
  4. Training legal and forensic professionals to recognize deepfake characteristics in evidence
Correct answer: A
Question 14
When auditing a machine learning (ML) solution, false positives can BEST be assessed by examining the level of:
  1. precision.
  2. completeness.
  3. recall.
  4. accuracy.
Correct answer: A
Question 15
When auditing a research agency’s use of generative AI models for analyzing scientific data which of the following is MOST critical to evaluate in order to prevent hallucinatory results and ensure the accuracy of outputs?
  1. The measures in place to ensure the appropriateness and relevance of input data for generative AI models
  2. The frequency of data audits verifying the integrity and accuracy of inputs
  3. The algorithms for generative AI models designed to detect and correct data bias before processing
  4. The effectiveness of data anonymization processes that help preserve data quality
Correct answer: A
Question 16
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?
  1. The AI will prioritize high-value entries.
  2. The AI will process only a portion of the data set.
  3. The AI output will be biased toward the first 3,000 tokens.
  4. The AI will reject the data set and not analyze the data.
Correct answer: B
Question 17
Which of the following is MOST important to consider when auditing an organization’s AI procedures?
  1. AI data validation and filtration to prevent data poisoning
  2. Backup and recovery in the event of an AI data breach
  3. Employee training on recognized AI best practices
  4. Frequency of AI system updates to enhance security
Correct answer: A
Question 18
Which of the following is the MOST important key indicator to assess when auditing the deployment of AI in predictive maintenance system in manufacturing operations?
  1. Percentage of AI’s predictive algorithms that are compliant with industry standards
  2. Frequency of updates to AI predictive models based on equipment usage
  3. Reduction in downtime and maintenance costs due to AI use
  4. Total number of predictive maintenance scenarios implemented using AI
Correct answer: C
Question 19
A logistics company uses an AI model to optimize delivery routes. Which of the following methods would BEST verify the model’s accuracy?
  1. Using advanced outlier detection techniques to identify anomalies in route length
  2. Running bias tests to confirm that the model does not favor certain delivery areas
  3. Comparing the AI-generated routes with routes generated using traditional methods
  4. Testing the model on the most recent data for the latest conditions
Correct answer: D
Question 20
Which of the following controls would BEST minimize the risk of bias introduced into AI models from flawed training data?
  1. Implementing enhanced access controls over AI model training data
  2. Testing AI models using adversarial methods
  3. Separating AI training and production data
  4. Performing cross-validation of AI models
Correct answer: D
Question 21
Which of the following metrics should an IS auditor recommend as a key performance indicator (KPI) to assess the reliability of a natural language processing AI model?
  1. Landmark localization error
  2. Receiver operating characteristic curve
  3. Recall-oriented understudy for gisting evaluations
  4. Mean squared error
Correct answer: C
Question 22
Which of the following is the MOST critical consideration for incident response in AI systems?
  1. Developing a process to monitor and correct biased outputs in AI models
  2. Assigning accountability for managing and resolving AI -related incidents
  3. Deploying automated incident response systems to flag unusual patterns in AI model behavior
  4. Conducting regular training to enhance understanding of AI troubleshooting
Correct answer: B
Question 23
Post-deployment, anomalies in logs suggest a conflict between a critical security patch and an AI model's inference engine. Which of the following is the BEST course of action?
  1. Investigate the patch’s effect on the model.
  2. Contact the patch vendor for support.
  3. Reapply the patch and test the engine again.
  4. Restart the inference engine to clear conflicts.
Correct answer: A
Question 24
When evaluating the process flowchart of an AI machine learning (ML) model, which task should be performed FIRST to provide assurance that the model will function as intended?
  1. Scale and standardize numerical variables.
  2. Split the data set into training and test sets.
  3. Apply the model algorithm.
  4. Address imbalances in the data.
Correct answer: B
Question 25
Which of the following BEST improves predictions and understanding to refine the accuracy of AI models?
  1. Data augmentation
  2. Mean clustering
  3. Prompt templates
  4. Data compression
Correct answer: A
Question 26
An AI model's documentation shows that the modeler utilized K-means clustering to categorize a data set that included a large volume of records. Which of the following is an advantage of using a K-means clustering algorithm for determining classification categories to group applicable data before it is inserted into the learning model?
  1. The algorithm is unsupervised, which eliminates subjectivity and possible bias from data labeling.
  2. The algorithm is supervised and can include the modeler's biases in the analysis.
  3. The algorithm requires the modeler to specify the number of clusters, which significantly affects the outcome.
  4. The algorithm is not significantly affected by outliers, resulting in less need for data cleansing.
Correct answer: A
Question 27
An AI system is misclassifying images after a routine model update. An IS auditor discovers that the updated model file was replaced by an unauthorized version. Which of the following is the auditor’s BEST recommendation?
  1. Notify all users of potential inaccuracies and deactivate the system.
  2. Immediately retrain the model from scratch using a secure data set.
  3. Disable the automated update process to prevent future issues.
  4. Revert to the last verified model version and initiate a root cause analysis.
Correct answer: D
Question 28
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?
  1. Data drift impacting system forecasting
  2. Overfitting issues due to a small training data set
  3. Lack of outlier checks in data affecting forecast accuracy
  4. Limited data set diversity impacting model training
Correct answer: A
Question 29
The PRIMARY objective of machine learning (ML) in data processing is to:
  1. analyze data sets to identify visual patterns and trends.
  2. enhance the explainability of AI model outputs.
  3. draw statistical inferences for creating artificial human intelligence.
  4. perform actions that would typically require human intelligence.
Correct answer: D
Question 30
Which of the following is the MOST important task when gathering data during the AI system development process?
  1. Isolating the system
  2. Stratifying the data
  3. Training the system
  4. Cleaning the data
Correct answer: D
Question 31
In order to ensure effective alignment with organizational priorities, which of the following is MOST important for an IS auditor to address when developing an audit plan for an AI-based tool?
  1. Cost-benefit strategy for AI adoption
  2. AI users’ understanding of ethical standards
  3. The AI tool’s security alignment with governance policies
  4. Management practices for AI oversight
Correct answer: D
Question 32
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?
  1. Retrain the model immediately and implement privacy-preserving techniques.
  2. Disable the shared model and notify partners of the potential breach.
  3. Limit the model's outputs to anonymized results while investigating further.
  4. Audit the data pipelines of all partners to identify the source of the leak.
Correct answer: A
Question 33
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?
  1. Conduct penetration testing to assess the system’s ability to detect genuine threats.
  2. Deploy a machine learning (ML) validation tool to increase the model’s accuracy and performance.
  3. Implement a benchmarking tool to compare the system’s alerting capability with industry standards.
  4. Use a log analysis tool to examine the types and frequency of alerts generated.
Correct answer: D
Question 34
Which of the following controls MOST effectively helps to ensure an AI model is resilient against external threats?
  1. Monitoring of AI access logs
  2. AI model configuration testing
  3. AI data set anonymization
  4. Monitoring of AI model developers
Correct answer: A
Question 35
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?
  1. The model incorporates the applicant’s loan history to assess spending habits.
  2. The model considers the applicant’s income level as a key factor in the credit decision.
  3. The model uses postal codes as a primary factor in determining creditworthiness.
  4. The model utilizes historical credit data to predict future credit behavior.
Correct answer: D
Question 36
Which of the following is MOST important for an IS auditor to consider when identifying AI risk in a know your customer (KYC) application within a banking organization?
  1. Business disruption and financial impact
  2. Intellectual property leakage and invalidation
  3. Benchmarking against peer organizations
  4. Incident response plan
Correct answer: A
Question 37
An IS auditor is evaluating an organization’s incident management program to ensure it is sufficiently prepared to manage AI-related incidents. Which of the following is MOST important for the auditor to validate?
  1. The program includes processes to respond to AI model drift and data integrity attacks.
  2. The program prioritizes incidents based on alignment with industry leading practices.
  3. The program uses past AI-related incidents and resolutions to categorize current incidents.
  4. The program mandates retraining AI systems after incidents are investigated.
Correct answer: A
Question 38
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?
  1. Transparency
  2. AI model hallucinations
  3. AI bias
  4. Disclosure of personal information
Correct answer: D
Question 39
The BEST way to prevent sensitive information disclosure by large language model (LLM) chatbots is through:
  1. manual monitoring.
  2. data sanitization.
  3. data masking.
  4. access controls.
Correct answer: B
Question 40
Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?
  1. Cost of resources required for AI model training
  2. AI model accuracy in predicting actual outcomes
  3. Frequency of AI model retraining
  4. Number of users interacting with the AI model
Correct answer: B
Question 41
Which of the following is the PRIMARY purpose of an AI acceptable use policy?
  1. Establishing guidance on the ethical use of AI
  2. Explaining the distinction between different types of AI
  3. Outlining AI usage monitoring procedures
  4. Educating employees on where to find and how to use AI tools
Correct answer: A
Question 42
Which of the following is MOST important to consider when deciding whether to implement an AI solution?
  1. The space required for AI hardware
  2. The cost of AI implementation
  3. The speed of AI implementation
  4. The ethical implications of AI
Correct answer: D
Question 43
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?
  1. Implement a process to periodically test the AI system for biases and adjust parameters as needed.
  2. Suspend the use of the AI system until the training data can be verified for fairness and compliance.
  3. Require manual reviews of all AI-generated recruitment decisions before hiring is finalized.
  4. Retrain the AI model using an external data set certified for inclusivity and fairness.
Correct answer: A
Question 44
A healthcare organization uses patient data to train an AI model for early disease detection. Which of the following practices provides the BEST assurance that personal data is secure and its integrity is maintained?
  1. Implementing strict data access controls and conducting security tests
  2. Encrypting stored data to reduce exposure and log access
  3. Updating the AI model with new data and tracking changes
  4. Anonymizing patient data and performing regular quality checks
Correct answer: A
Question 45
Which of the following is MOST important for an IS auditor to review during an AI system audit in order to determine compliance with intellectual property and data rights?
  1. Data performance metrics
  2. Use of open-source intellectual property
  3. Model runtime efficiency logs
  4. Data usage agreements
Correct answer: D
Question 46
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?
  1. Using only data from the last six months to one year to avoid outdated information affecting the credit score
  2. Ensuring the system is periodically reviewed and calibrated by human experts to maintain stability in predictions
  3. Obtaining and validating the credit scores from third-party agencies to cross-check AI-generated results
  4. Allowing the AI to operate fully autonomously to prevent processing delays
Correct answer: B
Question 47
Which of the following is the PRIMARY objective of AI governance?
  1. Implementing compliance and ethics controls for AI initiatives
  2. Promoting a positive return on investment (ROI) from AI projects
  3. Defining clear roles and responsibilities for AI development, use, and oversight
  4. Ensuring controls over AI are designed well and operate effectively
Correct answer: C
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