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ISACA Advanced in AI Audit (AAIA)

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Total Questions : 90

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Question # 1

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?

Options:

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.

Discussion 0
Question # 2

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?

Options:

A.  

Data contamination due to biased AI model outputs

B.  

Unauthorized data disclosure

C.  

Potential business disruptions

D.  

Excessive reliance on AI-generated insights

Discussion 0
Question # 3

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?

Options:

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

Discussion 0
Question # 4

The BEST way to prevent sensitive information disclosure by large language model (LLM) chatbots is through:

Options:

A.  

Manual monitoring

B.  

Access controls

C.  

Data sanitization

D.  

Data masking

Discussion 0
Question # 5

Which of the following correctly summarizes the conclusions of the model card excerpt provided?

Model Card – Electrical Grid Predictive Maintenance Model

Model Information:

    Description: AI model designed to predict maintenance needs for electrical grid components, reduce unplanned downtime, and improve grid reliability.

    Inputs: Real-time sensor data, historical maintenance records, and operational logs.

    Outputs: Maintenance needs predictions for 60 & 90 days.Evaluation:

    Approach: Cross-validation and validation of accuracy, precision, and recall.

    Results: Accuracy 72%; Precision 60%; Recall 95%; F1 76%

Options:

A.  

The AI model correctly predicts maintenance needs 95% of the time.

B.  

The electrical grid uptime is expected to be 72% of the time.

C.  

Grid failure is predicted to occur after 90 days.

D.  

F1 indicates that the model identifies true maintenance needs 76% of the time.

Discussion 0
Question # 6

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?

Options:

A.  

Ensuring the system is periodically reviewed and calibrated by human experts to maintain stability in predictions

B.  

Using only data from the last six months to one year to avoid outdated information affecting the credit score

C.  

Allowing the AI to operate fully autonomously to prevent processing delays

D.  

Obtaining and validating the credit scores from third-party agencies to cross-check AI-generated results

Discussion 0
Question # 7

Which of the following metrics are the BEST indication of a mature and effective approach to an organization's data governance program for its AI systems?

Options:

A.  

Number of AI projects completed within the last fiscal year

B.  

Percentage of AI models with documented data lineage

C.  

Frequency of data quality audits on the organization's data sets

D.  

Total budget allocated to AI initiatives across all departments

Discussion 0
Question # 8

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?

Options:

A.  

Evaluating the diversity of the training data set

B.  

Analyzing the complexity of the algorithms used

C.  

Assessing the computational cost of the model

D.  

Reviewing the explainability of AI outputs

Discussion 0
Question # 9

Which of the following controls MOST effectively helps to ensure an AI model is resilient against external threats?

Options:

A.  

AI data set anonymization

B.  

Monitoring of AI model developers

C.  

Monitoring of AI access logs

D.  

AI model configuration testing

Discussion 0
Question # 10

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?

Options:

A.  

Underfitting

B.  

Overfitting

C.  

Generalization

D.  

Bias

Discussion 0
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