Easily To Pass New ISACA AAIA Dumps with 93 Questions
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NEW QUESTION # 33
Which of the following is the GREATEST risk associated with using AI in audit planning?
- A. Increased planning costs
- B. Scope creep
- C. Incomplete data
- D. Limited knowledge
Answer: C
NEW QUESTION # 34
An organization is evaluating change management practices for AI-based decision support models. Which of the following BEST demonstrates effective AI-focused change management?
- A. Assigning a single data science team member to adjust the model in order to establish accountability
- B. Documenting model updates and retraining sessions to ensure traceability
- C. Deploying two separate copies of the model after each adjustment to compare results
- D. Engaging an independent expert to review the model's accuracy and precision on a quarterly basis
Answer: B
NEW QUESTION # 35
From a data appropriateness and bias perspective, which of the following should be of GREATEST concern when reviewing an AI model used in a credit scoring system?
- A. The model utilizes historical credit data to predict future credit behavior.
- B. The model incorporates the applicant's loan history to assess spending habits.
- C. The model uses postal codes as a primary factor in determining creditworthiness.
- D. The model considers the applicant's income level as a key factor in the credit decision.
Answer: C
NEW QUESTION # 36
In order to streamline operations, a bank has deployed an AI application to automatically detect and prevent further fraud on accounts. However, customers have voiced concerns that their usual transactions are being rejected. Which of the following is the MOST likely cause of the false positives?
- A. Consent is not properly managed.
- B. Compute scale training was not performed.
- C. Data versioning controls were not developed.
- D. The hyperparameters are not optimized.
Answer: D
NEW QUESTION # 37
Which of the following key performance indicators (KPIs) are MOST important when evaluating whether an AI model meets business objectives?
- A. Cost of resources required for AI model training
- B. Number of users interacting with the AI model
- C. AI model accuracy in predicting actual outcomes
- D. Frequency of AI model retraining
Answer: C
NEW QUESTION # 38
Which of the following is the PRIMARY benefit of implementing a robust data governance framework specific to AI solutions in an organization?
- A. It fosters adherence to industry regulations while minimizing the risk of data breaches and privacy violations.
- B. It focuses on enhancing the accuracy and reliability of AI model predictions.
- C. It reduces the need for human oversight, ensuring seamless and autonomous data governance.
- D. It accelerates AI implementation timelines by fully automating data preparation processes.
Answer: A
NEW QUESTION # 39
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?
- A. Validate that the tool provides a privacy notice.
- B. Determine whether any AI model hallucinations have occurred.
- C. Determine whether the information is reliable.
- D. Validate that the tool is leveraging the latest model.
Answer: C
NEW QUESTION # 40
To confirm the fairness of AI model decisions, the BEST way to collect reliable evidence during an AI audit is by:
- A. Observing the system's interactions with end users.
- B. Analyzing system metadata.
- C. Testing the model with a curated sample data set.
- D. Interviewing developers.
Answer: C
NEW QUESTION # 41
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. Conducting a penetration test to identify vulnerabilities in the model
- C. Assessing data lineage to verify the traceability of data sources
- D. Reviewing the organization's AI software development life cycle documentation
Answer: C
NEW QUESTION # 42
An IS auditor reviewing documentation for an AI model notes that the modeler utilized a K-means clustering algorithm, which clusters data into categories for correlations and analysis. Which of the following is the MOST important risk for the auditor to consider?
- A. K-means clustering determines the number of clusters for the modeler without supervision.
- B. K-means clustering requires the modeler to supervise the learning analysis, which can introduce bias.
- C. K-means clustering algorithms are significantly sensitive to outliers and dependent on the similarity of units of measure.
- D. K-means clustering is not a common data clustering method due to its complexity and difficulty categorizing data correctly.
Answer: C
NEW QUESTION # 43
Which of the following is the MOST important task when gathering data during the AI system development process?
- A. Cleaning the data
- B. Stratifying the data
- C. Training the system
- D. Isolating the system
Answer: A
NEW QUESTION # 44
Which of the following is MOST important for an IS auditor to review during an AI system audit in order to determine compliance with intellectual property and data rights?
- A. Data performance metrics
- B. Use of open-source intellectual property
- C. Model runtime efficiency logs
- D. Data usage agreements
Answer: D
NEW QUESTION # 45
When using off-the-shelf AI models, which of the following is the MOST appropriate way for organizations to approach vendor management?
- A. Establish responsibility and clear terms for model updates and support.
- B. Only use models from vendors with globally recognized accreditation.
- C. Ensure a minimum of three quotes have been obtained for market research and comparison.
- D. Use the vendor only if the contract has been reviewed by the information security department.
Answer: A
NEW QUESTION # 46
When auditing an AI system, which of the following steps ensures that AI model behavior is aligned with organizational objectives?
- A. Model training
- B. Data transformation
- C. Problem framing
- D. Algorithm debugging
Answer: C
NEW QUESTION # 47
Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?
- A. Performance issues due to excessive computation
- B. Differences of opinion regarding model types
- C. Difficulties in preventing the input of biased data
- D. Algorithms changing as AI continues to learn
Answer: D
NEW QUESTION # 48
Which of the following is the MOST effective way an IS auditor could use generative AI to plan an audit of a new database storing transactional data?
- A. Identifying technology-specific risk and considerations
- B. Summarizing meeting transcripts from interviews with database administrators (DBAs)
- C. Developing architecture diagrams
- D. Identifying separation of duties conflicts for database data changes
Answer: A
NEW QUESTION # 49
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?
- A. Revising audit conclusions with precise verbiage to describe the audit observations
- B. Revising audit background and scope information based on new information from management
- C. Developing a draft of an executive summary based on detailed findings and audit scope
- D. Developing action items discussed in closing meetings for management action plans
Answer: C
NEW QUESTION # 50
An IS auditor is performing an inventory audit for a manufacturing organization. Which of the following would BEST enable the auditor to identify types of products without assistance from organizational staff?
- A. Computer vision
- B. Speech modeling
- C. Robotic process automation (RPA)
- D. Natural language processing
Answer: A
NEW QUESTION # 51
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?
- A. Sensitive attributes are converted to other data types prior to input.
- B. The applied methodology adequately reflects business objectives.
- C. Sampling of AI output is conducted to identify unusual decisions.
- D. Stress tests are regularly conducted to maintain consistent AI performance.
Answer: B
NEW QUESTION # 52
Which of the following is the PRIMARY purpose of an AI acceptable use policy?
- A. Establishing guidance on the ethical use of AI
- B. Outlining AI usage monitoring procedures
- C. Educating employees on where to find and how to use AI tools
- D. Explaining the distinction between different types of AI
Answer: A
NEW QUESTION # 53
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?
- 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
Answer: A
NEW QUESTION # 54
Which of the following is MOST important to consider when auditing an organization's AI procedures?
- A. Employee training on recognized AI best practices
- B. Backup and recovery in the event of an AI data breach
- C. Frequency of AI system updates to enhance security
- D. AI data validation and filtration to prevent data poisoning
Answer: D
NEW QUESTION # 55
Which of the following is the MOST important reason to perform regular ethical reviews of AI systems?
- A. To align AI system development with organizational values and principles
- B. To identify and mitigate potential data drift within models
- C. To improve the accuracy and performance of the systems
- D. To ensure the systems align with the preservation of individual rights
Answer: D
NEW QUESTION # 56
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