Download Free ISACA AAIA Exam Questions & Answer [Q59-Q83]

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ISACA AAIA Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Audit
Exam Number:	AAIA
Available Languages:	English
Real Exam Qty:	90
Exam Format:	Multiple Choice, Computer-Based, Remotely Proctored
Related Certifications:	CISA CIA CPA ACCA FCCA
Passing Score:	65%
Exam Duration:	120 minutes
Sample Questions:	ISACA AAIA Sample Questions
Exam Way:	Online remotely proctored computer-based exam
Pre Condition:	Candidates must hold an active CISA certification or another qualified audit-related designation such as CIA, CPA, ACCA, FCCA, Canadian CPA, Australian CPA/FCPA, or Japanese CPA.
Official Syllabus URL:	https://www.isaca.org/credentialing/aaia

NO.59 Which of the following could be used to BEST identify underlying patterns in control effectiveness within unlabeled data elements?

XGBoost learning

Reinforcement learning (RL)

Unsupervised learning

Random forest

NO.60 When auditing an AI system, which of the following steps ensures that AI model behavior is aligned with organizational objectives?

Algorithm debugging

Data transformation

Model training

Problem framing

NO.61 Which of the following techniques BEST enhances the security and robustness of AI models against adversarial attacks?

AI security awareness training

User access reviews

Input token limitation

Defensive distillation

NO.62 A financial institution’s customer service chatbot sometimes gives users incorrect legal advice, leading to several customer complaints and potential regulatory exposure. Which of the following should be done FIRST to mitigate this risk?

Expand the chatbot’s training dataset.

Retrain the chatbot on a more diverse dataset.

Introduce a human-in-the-loop review process.

Review chatbot technical documentation.

NO.63 An IS auditor is reviewing an AI application that uses customer data to refine the organization’s marketing outreach strategies. Which of the following should be the auditor’s PRIMARY focus during this review?

Alignment with organizational AI strategies

Access control design and effectiveness

Compliance with applicable privacy regulations

Escalation protocols for sensitive data breaches

NO.64 An IS auditor is evaluating an organization’s data governance controls for its AI system. Which of the following represents the GREATEST risk in this context?

Inconsistent data management practices

Lack of procedures for automated data backup

Limited frequency of AI system performance and data accuracy reviews

Inadequate controls over data accuracy and privacy compliance

NO.65 Which of the following components would MOST effectively address cumulative benefits as part of reinforcement learning (RL)?

Policy function

Agent function

Reward function

Value function

NO.66 An AI team is developing a natural language processing (NLP) chatbot to assist customers. The collected data includes informal speech and multiple languages. Which pre-processing step is MOST important?

Standardize informal language using dictionaries and incorporate translation.

Perform entity recognition to extract key information.

Apply tokenization and stemming to reduce complexity.

Remove all non-English data to avoid complexity.

NO.67 An organization deployed an AI-powered customer service chatbot trained using customer chat logs. During a risk assessment, which issue should be the IS auditor’s GREATEST concern?

Limited AI model capability to incorporate new data

Obsolete procedures leading to inadequate data integrity validation

Reputational impacts from inaccurate chatbot responses

Insufficient access controls leading to unauthorized customer data exposure

NO.68 An IS auditor notes that the combined number of records in the training, validation, and testing sets exceeds the total number of records in the original data set. What is the GREATEST risk?

The datasets were created in the incorrect order.

Data leakage occurred from overlapping records.

A sufficient number of records were not used in training.

The validation dataset is larger than the training set.

NO.69 Which of the following are the MOST appropriate stages in the AI life cycle for evaluating edge cases?

Plan and design

Operate and monitor

Collect and process

Test and verify

NO.70 A car manufacturer uses an AI model to predict maintenance needs for its vehicles. Which of the following techniques can an IS auditor apply to MOST effectively verify the AI model’s decisions to stakeholders?

Using neural network visualization to show how the AI model processes data through its layers

Using K-means algorithms to group vehicles based on mileage or engine temperature for maintenance patterns

Utilizing support vector machines (SVM) to classify vehicles based on maintenance urgency

Using local interpretable model-agnostic explanation (LIME) to analyze how specific features contribute to predictions

NO.71 Which of the following strategies used by modelers to enhance data accuracy has the GREATEST risk of bias and information loss?

Filling blank attributes in records with the mean, median, or mode within a grouping

Identifying and deleting duplicate entries in the data set

Separating multiple data attributes within one field into individual attribute columns

Placing numerical data into bins or buckets for a manageable quantity of correlations and result analyses

NO.72 When an IS auditor uses generative AI with external RAG (retrieval-augmented generation) to gather evidence during an audit, which of the following poses the GREATEST data security risk?

Sensitive internal context may be included in queries sent to external services.

Personal information may be shared based on model training data.

External search engines only respond to public data.

The model might fail to retrieve data from the vector.

NO.73 Which of the following is the GREATEST risk when an organization uses publicly available social media data to train its AI model without obtaining explicit user consent?

Introduction of inaccurate and incomplete data

Data with questionable labeling

User distrust caused by lack of transparency in AI model training

Violation of data privacy regulations leading to legal penalties

NO.74 An organization has deployed a generative AI system for customer support that includes frequent updates to the AI model after deployment. Which of the following represents the GREATEST risk?

Lack of a change management policy specific to AI

Overreliance on manual review of AI model outputs

Lack of continuous monitoring for model changes

Lack of a dedicated AI governance committee

NO.75 An IS auditor is reviewing change management documentation of an AI model. Which of the following would pose the GREATEST risk to the model?

An A/B test comparing models using the same seed

Models were tuned on a training set

An A/B test comparing models using different seeds

Models were trained on the same data splits

NO.76 Which regulatory framework introduces a risk-tiered classification (unacceptable, high, limited, minimal) for AI systems?

GDPR

EU AI Act

SOX

PCI DSS

NO.77 Which of the following is the GREATEST benefit of using large language models (LLMs) to identify potential control deficiencies?

Independently verifying audit options based on control assessments

Summarizing multiple process narratives for inconsistencies

Simulating financial transactions for internal control testing

Allowing the auditor to replace walkthroughs with automated testing

NO.78 The PRIMARY objective of machine learning (ML) in data processing is to:

Analyze data sets to identify visual patterns and trends.

Enhance the explainability of AI model outputs.

Perform actions that would typically require human intelligence.

Draw statistical inferences for creating artificial human intelligence.

NO.79 Which of the following AI solutions is BEST used to generate standardized reports using unstructured customer feedback?

Anomaly detection

Natural language processing (NLP)

Predictive analytics

Recommendation engines

NO.80 Which of the following is the GREATEST risk when an organization uses publicly available social media data to train its AI model without obtaining explicit user consent?

Introduction of inaccurate and incomplete data

Data with questionable labeling

User distrust caused by lack of transparency in AI model training

Violation of data privacy regulations leading to legal penalties

NO.81 Which of the following is the GREATEST data quality risk when using an AI tool to assist with audit procedures?

Utilizing unstructured data sources without standardized preprocessing

Training models on historical audit results generated prior to AI adoption

Embedding AI audit tools in transactional systems without user training

Applying automated anomaly detection without human oversight

NO.82 An organization is training a skin cancer recognition model. Photographs collected from which of the following sources would present the GREATEST risk associated with data integrity?

Research facility receiving grants for cancer research

Open-source data augmentation files

Social media platform with images from all over the world

Cohort of dermatologists with signed patient consent forms

NO.83 When an auditor is using AI to test controls, what would be the HIGHEST risk to the audit’s integrity?

AI tests reviewed by an auditor relying solely on AI output

AI generating test output in a confusing format

AI testing failing to include all relevant transactions in its analysis

AI returning only medium-risk observations from the test

ISACA AAIA Exam Syllabus Topics:

Topic	Details
Topic 1	AI Operations: It covers managing AI-specific data needs—including collection, quality, security, and classification—applying development lifecycle methodologies with privacy and security by design, change and incident management, testing AI solutions, identifying AI-related threats and vulnerabilities, and supervising AI deployments.
Topic 2	AI GOVERNANCE AND RISK: It encompasses understanding different AI models and their life cycles, guiding AI strategy, defining roles and policies, managing AI-related risks, overseeing data privacy and governance, and ensuring adherence to ethical practices, standards, and regulations.
Topic 3	Auditing Tools and Techniques: This section of the exam measures the skills of AI auditors and centers on auditing AI systems using appropriate tools and methods. It includes audit planning and design, sampling methodologies specific to AI, collecting audit evidence, using data analytics for quality assurance, and producing AI audit outputs and reports, including follow-up and quality control measures.

AAIA Exam Dumps For Certification Exam Preparation: https://www.test4cram.com/AAIA_real-exam-dumps.html

ISACA AAIA Exam Overview:

ISACA AAIA Exam Syllabus Topics:

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