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Isaca AAIA Exam Dumps
ISACA Advanced in AI Audit (AAIA)
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Isaca AAIA Sample Questions
Question # 1Which of the following should be applied to an AI system but are not typically used in traditional systems?
A. Controls to protect data privacy
B. Controls to monitor data poisoning
C. Controls to prevent data exfiltration
D. Controls to manage data governance
Question # 2
An IS auditor reviewed an AI-enabled software for processing a bank's financial informationand discovered errors in the training data. Which of the following would BEST mitigate thisrisk?
A. Functional testing of the application
B. Data quality testing
C. User interface testing
D. Model validation on benchmark data
Question # 3
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.
Question # 4
An IS auditor is assessing the implementation of AI tools for evidence collection involving multiple data sources. Which of the following outcomes BEST indicates that AI-driven evidence collection has improved the audit process?
A. Extended reporting timelines that allow for AI model retraining
B. Reduced time spent gathering data with fewer errors in evidence compilation
C. Elimination of human judgment in data and evidence analysis
D. Ability to rely on unstructured data with minimal cleansing
Question # 5
An IS auditor is looking to expedite reporting for an audit with complex issues. Which of thefollowing 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
Question # 6
Which of the following presents the GREATEST risk when an organization deploys amachine learning model in a public cloud environment for real time predictions?
A. Cloud provider employees have limited AI skills
B. AI model audit trails have not been comprehensively documented
C. The service level agreement (SLA) does not include network latency and inferenceguarantees
D. The cloud provider has not adopted an ethical AI governance framework
Question # 7
Which of the following should be an IS auditor's GREATEST concern when using a predictive AI tool to analyze data abnormalities?
A. The false positives or false negatives generated by the AI tool
B. The ease of integrating the AI tool with existing data audit software
C. The speed at which the AI tool processes large data sets
D. The cost of implementing and maintaining the AI tool for data audit purposes
Question # 8
When converting data categories before training an AI model, which of the followingscenarios 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
Question # 9
A retail organization uses an AI model to analyze customers' purchase history in order tooffer personalized discounts. Which of the following practices represents the MOST ethicaluse of customer data?
A. Utilizing customer purchase data only after obtaining explicit consent and allowingcustomers to opt out
B. Retaining and analyzing all available customer data to ensure unbiasedrecommendations
C. Providing the public with access to review and audit the data set of collected customerinformation
D. Sharing customer purchase data with third-party vendors to improve advertising andcommunication
Question # 10
An organization plans to share customer data collected through an AI system with thirdparty vendors. Which of the following BEST demonstrates compliance with data privacyprinciples?
A. Including a statement about AI data sharing practices in the company's privacy policy
B. Obtaining expressed consent from customers before sharing their data
C. Communicating to customers about AI data sharing practices
D. Ensuring vendors implement adequate technical safeguards for data protection
Question # 11
An AI model predicts vehicle component failures using data collected at differentfrequencies and formats based on car type. Which of the following is the BEST course ofaction when evaluating data input requirements for the model?
A. Standardize sensor data frequency and formats before model training.
B. Merge sensor data into a single data set regardless of format and frequency.
C. Train separate models for each car type to simplify preprocessing.
D. Prioritize the use of internally generated maintenance logs.
Question # 12
From a data appropriateness and bias perspective, which of the following should be ofGREATEST 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.
Question # 13
An organization uses an AI-powered tool to detect and respond to cyber security 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?
A. Use a log analysis tool to examine the types and frequency of alerts generated.
B. Implement a benchmarking tool to compare the system's alerting capability with industrystandards.
C. Conduct penetration testing to assess the system's ability to detect genuine threats.
D. Deploy a machine learning (ML) validation tool to increase the model's accuracy andperformance.
Question # 14
Which metric is MOST important to consider when reviewing the performance of a machinelearning model in avoiding false positive results?
A. Precision
B. Accuracy
C. F1 score
D. Recall