AAIA試験無料問題集（328題）「ISACA Advanced in AI Audit 認定」

出題：1

Which of the following represents the PRIMARY benefit of reviewing model cards during AI model acquisition and risk assessment?

A. Identifying model vulnerabilities and training needs

B. Establishing legally binding contracts for model use

C. Understanding model intent and performance context

D. Complying with documentation requirements

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：2

Which NIST publication provides a voluntary framework for managing AI-related risks across the AI lifecycle?

A. NIST Cybersecurity Framework 1.1

B. NIST SP 800-53

C. NIST AI Risk Management Framework (AI RMF 1.0)

D. NIST SP 800-171

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：3

Which of the following do supervised AI learning models PRIMARILY use to train algorithms?

A. Unlabeled data sets

B. Clustered data sets

C. Labeled data sets

D. Randomized data sets

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：4

Which of the following would provide the BEST evidence to an IS auditor that an AI model's outputs are effectively controlled for bias?

A. The organization's AI policies include a clear definition of fairness.

B. Model training is restricted to data containing real-world human decisions.

C. Accuracy ranges for various demographic groups are similar.

D. Technical details of model development processes are transparent.

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：5

During a walk-through, an IS auditor observes an AI engineer entering a prompt that manipulates the AI model's behavior. Which of the following is the BEST control to prevent this?

A. Retrain the model immediately

B. Deploy adversarial training

C. Encrypt the underlying data

D. Enforce an input/output template

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：6

Which of the following data management practices poses the GREATEST risk to the reliability of an AI model's correlations?

A. Changing the total transaction amount data type from object to integer

B. Deleting outlier data values outside of the 5th and 95th percentiles from source data

C. Converting categorical variables to numerical formatting and encodings

D. Deleting duplicate entries because all attributes in the record match

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：7

A retailer's AI pricing engine recommends unusually large discounts in certain regions. An audit reveals that most historical sales data used for model training came from large urban areas, while smaller regions were represented by very few or no sales records. Which of the following is the MOST likely cause of this issue?

A. Data scarcity in the training set that causes the model to be unable to learn regional patterns

B. Labeling inconsistencies in regional identifiers

C. Overfitting of the model resulting in misrepresentation of sales records

D. Model drift from recent changes in customer demand

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：8

When reviewing contracts or other lengthy documentation in the planning phase, which of the following tools would BEST extract relevant information?

A. Predictive analytics

B. Autoregressive sequencing model

C. Natural language processing

D. Robotic process automation (RPA)

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：9

An AI social media platform uses an algorithm to increase user engagement that could unintentionally promote divisive content. Which of the following is the BEST course of action to mitigate this risk?

A. Suspend the algorithm until concerns are addressed.

B. Introduce controls allowing individuals to customize content preferences.

C. Obtain users' consent for the content they wish to view.

D. Regularly audit and adjust algorithms to reduce biases.

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：10

Which of the following BEST helps an organization manage bias in AI model decisions?

A. Standardization of fairness criteria

B. Human oversight and feedback mechanisms

C. Data anonymization and classification

D. Periodic model retraining

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：11

An AI-based marketing analytics tool is trained on data that is five years old. Which of the following is MOST likely to occur?

A. Model drift

B. Model extraction

C. Model inversion

D. Model poisoning

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：12

What should be the IS auditor's GREATEST concern when an organization is mixing AI- generated content into training data without labeling?

A. The model propagates outdated information.

B. The model outputs become inconsistent across similar queries.

C. The model loses alignment safeguards.

D. The model reinforces its own mistakes as if they were facts.

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：13

Which of the following sampling strategies would MOST likely involve the use of AI?

A. Adaptive

B. Judgmental

C. Statistical

D. Systematic

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：14

An IS auditor for a veterinary clinic was informed that the dog breed categorical variable is necessary for the predictive model. Which of the following introduces the MOST risk?

A. Data scaling was not utilized.

B. One-hot encoding was utilized.

C. Clustering was not utilized.

D. Ordinal label encoding was utilized.

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

AAIA試験無料問題集「ISACA Advanced in AI Audit 認定」