AAIA ISACA Advanced in AI Audit Exam Free Dumps

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To take ISACA Advanced in AI Audit AAIA exam, candidates must either hold a CISA certification or one of the following certifications with an IT audit or IT advisory role focus: CIA, CPA, ACCA, FFCA, Canadian CPA, CPA Australia, FCPA or Japanese CPA. There are 90 multiple-choice questions in real AAIA exam, and you have 150 minutes to answer all the questions. The available languages are English, Simplified Chinese, Spanish. Our new cracked ISACA Advanced in AI Audit AAIA exam dumps can ensure you pass the test easily. Free ISACA Advanced in AI Audit AAIA exam dumps are available below.

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1. Which of the following is MOST important to consider when auditing an organization's AI procedures?

Frequency of AI system updates to enhance security

Employee training on recognized AI best practices

Backup and recovery in the event of an AI data breach

AI data validation and filtration to prevent data poisoning

2. 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?

Evaluating the diversity of the training data set

Analyzing the complexity of the algorithms used

Assessing the computational cost of the model

Reviewing the explainability of AI outputs

3. The PRIMARY purpose of maintaining an audit trail in AI systems is to:

Facilitate transparency and traceability of decisions.

Analyze model accuracy and fairness.

Measure computational efficiency.

Ensure compliance with regulatory standards for A

4. 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?

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

Using only data from the last six months to one year to avoid outdated information affecting the credit score

Allowing the AI to operate fully autonomously to prevent processing delays

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

5. Which of the following AI system characteristics would BEST help an IS auditor evaluate the system's algorithm?

The AI system algorithm uses training data to inform decision output.

The AI system provides multiple options for model training.

The AI system provides transparent justification of decisions.

The AI system uses archived transaction data to provide decisions.

6. An IS auditor is auditing an organization’s data governance framework. The primary objective is to provide assurance that data management practices are standardized to support a trustworthy AI system.

Which of the following should be the auditor's MOST important consideration?

Retention of stored data

Portability of data

Data practices for training models

Accountability for data management

7. Which of the following is an IS auditor's MOST important course of action when determining whether source data should be entered into approved generative AI tools to assist with an audit?

Validate that the tool is leveraging the latest model.

Validate that the tool provides a privacy notice.

Determine whether any AI model hallucinations have occurred.

Determine whether the information is reliable.

8. Which of the following is an IS auditor MOST likely to use in order to ensure an AI model has the ability to make correct predictions?

Adversarial testing

Group analysis

Latency testing

Confusion matrix

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

Regularly back up the AI system's data to a secure, offsite location.

Conduct regular training sessions for users on data privacy.

Ensure the availability of trustworthy data sets.

Implement multi-factor authentication (MFA) for all users accessing the AI system.

10. 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?

Encrypting stored data to reduce exposure and log access

Updating the AI model with new data and tracking changes

Implementing strict data access controls and conducting security tests

Anonymizing patient data and performing regular quality checks

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11. Which of the following should be done FIRST when an attacker exfiltrates sensitive information from an AI model?

Implement rate limiting and query restrictions to reduce exploitation attempts.

Isolate impacted systems until the attack vector is identified.

Rebuild the AI model using a more secure architecture.

Inform regulators and affected stakeholders of a potential data breach.

12. Which of the following is the MOST important purpose of conducting a risk assessment for AI models within an organization?

Categorizing data used by the AI model

Defining mitigation strategies for AI deployment

Monitoring AI model performance on an ongoing basis

Determining whether AI model outputs align with established use cases

13. 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?

Review human-centered design practices to determine how they were considered.

Review the AI roadmap for short-term and long-term milestones.

Review how the project management team collected feedback in engagement activities.

Review the current state assessment of how AI may impact the organization.

14. 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?

Developing action items discussed in closing meetings for management action plans

Developing a draft of an executive summary based on detailed findings and audit scope

Revising audit conclusions with precise verbiage to describe the audit observations

Revising audit background and scope information based on new information from management

15. Which of the following is the PRIMARY purpose of an AI acceptable use policy?

Establishing guidance on the ethical use of AI

Outlining AI usage monitoring procedures

Educating employees on where to find and how to use AI tools

Explaining the distinction between different types of AI

16. 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?

Document sources and data processes.

Create dashboards to show outputs.

Provide periodic model audit reports.

Use tools that explain model decisions.

17. Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?

Differences of opinion regarding model types

Difficulties in preventing the input of biased data

Performance issues due to excessive computation

Algorithms changing as AI continues to learn

18. 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?

Stress tests are regularly conducted to maintain consistent AI performance.

The applied methodology adequately reflects business objectives.

Sensitive attributes are converted to other data types prior to input.

Sampling of AI output is conducted to identify unusual decisions.

19. 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?

Requesting additional identity and address documents for verification

Leveraging AI-based liveness detection during video verification

Encrypting all customer data and communication

Discontinuing the use of the video-based verification process

20. Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?

Cost of resources required for AI model training

Number of users interacting with the AI model

Frequency of AI model retraining

AI model accuracy in predicting actual outcomes

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21. 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?

The effectiveness of data anonymization processes that help preserve data quality

The algorithms for generative AI models designed to detect and correct data bias before processing

The frequency of data audits verifying the integrity and accuracy of inputs

The measures in place to ensure the appropriateness and relevance of input data for generative AI models

22. When converting data categories before training an AI model, which of the following scenarios represents the GREATEST risk?

One-hot encoding the data attribute car colors for the options red, blue, green, black, white

Creating dummy variables for the data attribute dog breed for the options labrador, terrier, beagle

One-hot encoding the data attribute customer rewards category for the options economy, business, first class

Creating dummy variables for the data attribute product flavor for the options vanilla, chocolate, strawberry, banana

23. 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?

Limited data set diversity impacting model training

Data drift impacting system forecasting

Overfitting issues due to a small training data set

Lack of outlier checks in data affecting forecast accuracy

24. 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?

Number of AI projects completed within the last fiscal year

Percentage of AI models with documented data lineage

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

Total budget allocated to AI initiatives across all departments

25. Which of the following BEST detects model drift or unexpected changes in AI model outputs?

Standardization of AI configurations

Anomaly monitoring

AI model documentation reviews

AI model retraining

26. To confirm the fairness of AI model decisions, the BEST way to collect reliable evidence during an AI audit is by:

Analyzing system metadata.

Testing the model with a curated sample data set.

Interviewing developers.

Observing the system’s interactions with end users.

27. An organization's system development process has been enhanced with AI.

Which of the following features presents the GREATEST risk?

The AI allocates resources for new system development projects.

Non-technical users are validating AI results.

The AI personalizes applications for the user.

All codes are generated by AI without human oversight.

AAIA ISACA Advanced in AI Audit Exam Free Dumps

AAIA ISACA Advanced in AI Audit Exam Free Dumps

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