2026/January Latest Braindump2go AAIA Exam Dumps with PDF and VCE Free Updated Today! Following are some new Braindump2go AAIA Real Exam Questions!
QUESTION 1
Which of the following is the MOST important purpose of conducting a risk assessment for AI models within an organization?
A. Categorizing data used by the AI model
B. Defining mitigation strategies for AI deployment
C. Monitoring AI model performance on an ongoing basis
D. Determining whether AI model outputs align with established use cases
Answer: B
QUESTION 2
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?
A. Review human-centered design practices to determine how they were considered.
B. Review the AI roadmap for short-term and long-term milestones.
C. Review how the project management team collected feedback in engagement activities.
D. Review the current state assessment of how AI may impact the organization.
Answer: A
QUESTION 3
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?
A. Developing action items discussed in closing meetings for management action plans
B. Developing a draft of an executive summary based on detailed findings and audit scope
C. Revising audit conclusions with precise verbiage to describe the audit observations
D. Revising audit background and scope information based on new information from management
Answer: B
QUESTION 4
Which of the following is the PRIMARY purpose of an AI acceptable use policy?
A. Establishing guidance on the ethical use of AI
B. Outlining AI usage monitoring procedures
C. Educating employees on where to find and how to use AI tools
D. Explaining the distinction between different types of AI
Answer: A
QUESTION 5
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?
A. Document sources and data processes.
B. Create dashboards to show outputs.
C. Provide periodic model audit reports.
D. Use tools that explain model decisions.
Answer: D
QUESTION 6
Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?
A. Differences of opinion regarding model types
B. Difficulties in preventing the input of biased data
C. Performance issues due to excessive computation
D. Algorithms changing as AI continues to learn
Answer: D
QUESTION 7
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?
A. Stress tests are regularly conducted to maintain consistent AI performance.
B. The applied methodology adequately reflects business objectives.
C. Sensitive attributes are converted to other data types prior to input.
D. Sampling of AI output is conducted to identify unusual decisions.
Answer: B
QUESTION 8
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?
A. Requesting additional identity and address documents for verification
B. Leveraging AI-based liveness detection during video verification
C. Encrypting all customer data and communication
D. Discontinuing the use of the video-based verification process
Answer: B
QUESTION 9
Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?
A. Cost of resources required for AI model training
B. Number of users interacting with the AI model
C. Frequency of AI model retraining
D. AI model accuracy in predicting actual outcomes
Answer: D
QUESTION 10
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?
A. The effectiveness of data anonymization processes that help preserve data quality
B. The algorithms for generative AI models designed to detect and correct data bias before processing
C. The frequency of data audits verifying the integrity and accuracy of inputs
D. The measures in place to ensure the appropriateness and relevance of input data for generative AI models
Answer: D
QUESTION 11
When converting data categories before training an AI model, which of the following scenarios represents the GREATEST risk?
A. One-hot encoding the data attribute car colors for the options red, blue, green, black, white
B. Creating dummy variables for the data attribute dog breed for the options labrador, terrier, beagle
C. One-hot encoding the data attribute customer rewards category for the options economy, business, first class
D. Creating dummy variables for the data attribute product flavor for the options vanilla, chocolate, strawberry, banana
Answer: C
QUESTION 12
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?
A. Limited data set diversity impacting model training
B. Data drift impacting system forecasting
C. Overfitting issues due to a small training data set
D. Lack of outlier checks in data affecting forecast accuracy
Answer: B
QUESTION 13
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?
A. The model incorporates the applicant’s loan history to assess spending habits.
B. The model utilizes historical credit data to predict future credit behavior.
C. The model considers the applicant’s income level as a key factor in the credit decision.
D. The model uses postal codes as a primary factor in determining creditworthiness.
Answer: D
QUESTION 14
The PRIMARY objective of auditing AI systems is to:
A. Identify biases and decision transparency.
B. Maximize system efficiency and throughput.
C. Optimize user experience and interface satisfaction.
D. Minimize algorithm latency and information storage impacts.
Answer: A
QUESTION 15
When auditing a machine learning (ML) solution, false positives can BEST be assessed by examining the level of:
A. Precision
B. Completeness
C. Accuracy
D. Recall
Answer: A
QUESTION 16
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?
A. Natural language processing
B. Speech modeling
C. Robotic process automation (RPA)
D. Computer vision
Answer: D
QUESTION 17
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?
A. Underfitting
B. Overfitting
C. Generalization
D. Bias
Answer: B
QUESTION 18
An AI social media platform uses an algorithm to increase user engagement that could unintentionally promote divisive content. Which of the following is the BEST course of action to mitigate this risk?
A. Introduce controls allowing individuals to customize content preferences.
B. Suspend the algorithm until concerns are addressed.
C. Obtain users’ consent for the content they wish to view.
D. Regularly audit and adjust algorithms to reduce biases.
Answer: D
QUESTION 19
Which of the following is the MOST important risk for an IS auditor to consider when reviewing the adoption of an AI system?
A. Costs associated with AI system maintenance
B. Immaturity of AI systems in the industry
C. Bias in AI system decision making
D. Resistance to the use of AI technology
Answer: C
QUESTION 20
An organization uses an AI image generation platform to create promotional materials. An IS auditor identifies that the platform includes copyrighted images in its training data. Which of the following is the auditor’s BEST recommendation to address this issue?
A. Implement a manual review process to ensure no copyrighted images are used in generated outputs.
B. Use a platform that certifies the provenance and licensing of its training data.
C. Label all AI-generated images to disclaim the possibility of third-party content.
D. Suspend the use of the platform until the training data is sanitized.
Answer: B
Section: (none)
Explanation/Reference:
QUESTION 21
An IS auditor uses an internally developed generative AI tool to prepare a status update for audit stakeholders. Which of the following is the auditor’s MOST appropriate course of action?
A. Compare results with a publicly available generative AI tool to ensure outputs are similar.
B. Assess whether the information provided is complete and accurate.
C. Regenerate the results to ensure similar outputs are provided.
D. Share and review the results with management.
Answer: B
QUESTION 22
Which of the following is the PRIMARY benefit of implementing a robust data governance framework specific to AI solutions in an organization?
A. It focuses on enhancing the accuracy and reliability of AI model predictions.
B. It accelerates AI implementation timelines by fully automating data preparation processes.
C. It fosters adherence to industry regulations while minimizing the risk of data breaches and privacy violations.
D. It reduces the need for human oversight, ensuring seamless and autonomous data governance.
Answer: C
QUESTION 23
Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?
A. Applying data clustering techniques to anonymize data sets
B. Enforcing strict data retention policies to limit storage duration
C. Implementing a transparent data consent management process
D. Regularly conducting AI system performance testing for accuracy
Answer: C
QUESTION 24
When using off-the-shelf AI models, which of the following is the MOST appropriate way for organizations to approach vendor management?
A. Ensure a minimum of three quotes have been obtained for market research and comparison.
B. Establish responsibility and clear terms for model updates and support.
C. Only use models from vendors with globally recognized accreditation.
D. Use the vendor only if the contract has been reviewed by the information security department.
Answer: B
QUESTION 25
Which of the following is the PRIMARY reason IS auditors must be aware that generative AI may return different investment recommendations from the same set of data?
A. Limitations can arise in the quantification of risk profiles.
B. Neural node access varies each time the process is executed.
C. Computational logic is based on probabilities.
D. Servers are reconfigured periodically.
Answer: C
QUESTION 26
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?
A. Limit the model’s outputs to anonymized results while investigating further.
B. Audit the data pipelines of all partners to identify the source of the leak.
C. Disable the shared model and notify partners of the potential breach.
D. Retrain the model immediately and implement privacy-preserving techniques.
Answer: C
QUESTION 27
The PRIMARY objective of machine learning (ML) in data processing is to:
A. Analyze data sets to identify visual patterns and trends.
B. Enhance the explainability of AI model outputs.
C. Perform actions that would typically require human intelligence.
D. Draw statistical inferences for creating artificial human intelligence.
Answer: C
QUESTION 28
In the context of an AI implementation, which of the following actions is MOST critical for an organization’s change management program?
A. Ensuring the organization has a dedicated AI governance committee
B. Reviewing documentation for AI system changes, updates, and patches
C. Conducting a comprehensive risk assessment specific to AI-related changes
D. Verifying that all employees have completed mandatory AI ethics training
Answer: C
QUESTION 29
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?
A. Peer reviewing code that acquires product reviews from social media posts
B. Hiring a marketing firm to text links to customers requesting product reviews for monetary compensation
C. Augmenting the unbalanced product review data set with the use of oversampling by the model developer
D. Requiring customers to authenticate access to their accounts prior to writing product reviews
Answer: D
QUESTION 30
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?
A. Unit testing of the forecasting algorithm
B. Load testing during peak sales periods
C. Sensitivity analysis on input variables
D. Historical testing with past sales data
Answer: D
QUESTION 31
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?
A. The AI will process only a portion of the data set.
B. The AI will prioritize high-value entries.
C. The AI will reject the data set and not analyze the data.
D. The AI output will be biased toward the first 3,000 tokens.
Answer: D
QUESTION 32
Which of the following is MOST important to review in order to gain assurance that an AI model is performing without biases?
A. AI training data
B. AI development environment
C. AI model adaptability
D. AI model temperature
Answer: A
QUESTION 33
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?
A. Intellectual property leakage and invalidation
B. Benchmarking against peer organizations
C. Incident response plan
D. Business disruption and financial impact
Answer: D
QUESTION 34
Which of the following is the PRIMARY objective of AI governance?
A. Implementing compliance and ethics controls for AI initiatives
B. Defining clear roles and responsibilities for AI development, use, and oversight
C. Ensuring controls over AI are designed well and operate effectively
D. Promoting a positive return on investment (ROI) from AI projects
Answer: B
QUESTION 35
Which of the following strategies used by modelers to enhance data accuracy has the GREATEST risk of bias and information loss?
A. Filling blank attributes in records with the mean, median, or mode within a grouping
B. Identifying and deleting duplicate entries in the data set
C. Separating multiple data attributes within one field into individual attribute columns
D. Placing numerical data into bins or buckets for a manageable quantity of correlations and result analyses
Answer: A
QUESTION 36
During a pre-implementation risk assessment, an AI model is determined to present a significant risk of bias and potential harm in excess of the organization’s risk tolerance. Which of the following is the MOST appropriate response?
A. Postpone deployment until the risk can be safely managed.
B. Enhance the data that the model is trained on.
C. Obtain board approval for an exception.
D. Revisit the risk tolerance to ensure it is appropriate.
Answer: A
QUESTION 37
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?
A. Comparing incoming patient data distributions with the training data set
B. Applying overrides to allow healthcare professionals to correct the AI model’s recommendations
C. Conducting periodic model retraining to ensure alignment with updated patient data
D. Using adversarial testing to simulate scenarios that stress test the model’s predictions
Answer: A
QUESTION 38
Which of the following will provide the BEST evidence to support the alignment of an AI model with an organization’s business objectives?
A. AI model vulnerability assessment
B. AI change management requests
C. AI model inventory
D. AI acceptable use policy
Answer: C
QUESTION 39
The PRIMARY purpose of utilizing neural networks in AI is to:
A. Improve the user interface.
B. Increase computational power.
C. Mimic human decision making.
D. Minimize maintenance costs.
Answer: C
QUESTION 40
When an IS auditor is reviewing results from an AI system, which of the following would cause the GREATEST risk?
A. Inability to identify where an AI system is housed
B. System output not being checked for inconsistencies
C. Cascading failures of AI system outputs
D. Difficulty of documenting AI algorithm processes
Answer: B
QUESTION 41
When auditing an AI system, which of the following steps ensures that AI model behavior is aligned with organizational objectives?
A. Algorithm debugging
B. Data transformation
C. Model training
D. Problem framing
Answer: D
QUESTION 42
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?
A. Disclosure of personal information
B. AI bias
C. Transparency
D. AI model hallucinations
Answer: A
QUESTION 43
When reviewing contracts or other lengthy documentation in the planning phase, which of the following tools would BEST extract relevant information?
A. Robotic process automation (RPA)
B. Autoregressive sequencing model
C. Predictive analytics
D. Natural language processing
Answer: D
QUESTION 44
The GREATEST benefit of using AI auditing techniques over traditional methods is that AI auditing techniques can:
A. eliminate the need for human intervention.
B. ensure full compliance with regulations.
C. identify complex data patterns.
D. significantly reduce data bias.
Answer: C
QUESTION 45
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?
A. The program mandates retraining AI systems after incidents are investigated.
B. The program uses past AI-related incidents and resolutions to categorize current incidents.
C. The program includes processes to respond to AI model drift and data integrity attacks.
D. The program prioritizes incidents based on alignment with industry leading practices.
Answer: C
QUESTION 46
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?
A. Implement a process to periodically test the AI system for biases and adjust parameters as needed.
B. Suspend the use of the AI system until the training data can be verified for fairness and compliance.
C. Retrain the AI model using an external data set certified for inclusivity and fairness.
D. Require manual reviews of all AI-generated recruitment decisions before hiring is finalized.
Answer: A
QUESTION 47
Which of the following is the MOST important course of action for an organization prior to allowing end users to utilize an AI tool?
A. Develop an AI policy with guidelines on appropriate use.
B. Determine the impact to the disaster recovery plan (DRP).
C. Implement baseline performance metrics.
D. Ensure a cybersecurity insurance clause is in place to include the use of AI.
Answer: A
QUESTION 48
Which of the following is MOST important to consider when deciding whether to implement an AI solution?
A. The cost of AI implementation
B. The speed of AI implementation
C. The space required for AI hardware
D. The ethical implications of AI
Answer: D
QUESTION 49
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?
A. The clustering requires more data, increasing the risk of a privacy breach.
B. Clustering increases the complexity of the model, making data harder to anonymize.
C. Irrelevant features in the data may result in inaccurate or biased treatments.
D. Clusters can reveal sensitive personal information depending on how the information is presented.
Answer: D
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