AAIA 試験問題を無料オンラインアクセス

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?

• A.Use a log analysis tool to examine the types and frequency of alerts generated.
• B.Deploy a machine learning (ML) validation tool to increase the model's accuracy and performance.
• C.Conduct penetration testing to assess the system's ability to detect genuine threats.
• D.Implement a benchmarking tool to compare the system's alerting capability with industry standards.

Which of the following testing techniques would BEST validate whether an organization's data governance program effectively ensures data quality and integrity for AI model training and deployment?

• A.Performing a business impact analysis (BIA) to assess the consequences of AI model failure
• B.Reviewing the organization's AI software development life cycle documentation
• C.Conducting a penetration test to identify vulnerabilities in the model
• D.Assessing data lineage to verify the traceability of data sources

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.Servers are reconfigured periodically.
• B.Computational logic is based on probabilities.
• C.Limitations can arise in the quantification of risk profiles.
• D.Neural node access varies each time the process is executed.

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.Provide periodic model audit reports.
• B.Use tools that explain model decisions.
• C.Create dashboards to show outputs.
• D.Document sources and data processes.

Which of the following is the BEST way to support the development and design of high-risk AI systems?

• A.Regularly back up the AI system's data to a secure, offsite location.
• B.Ensure the availability of trustworthy data sets.
• C.Implement multi-factor authentication (MFA) for all users accessing the AI system.
• D.Conduct regular training sessions for users on data privacy.