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NEW QUESTION # 23
Choose the CORRECT statement for Naive Bayes classifier.
Answer: C
Explanation:
The correct answer is D. a and c only . Naive Bayes is a supervised machine learning classification algorithm based on Bayes' theorem. It is called "naive" because it assumes that the features used for prediction are conditionally independent of one another, even though this may not always be fully true in real-world data.
Therefore, statement A is correct because the algorithm treats each feature as an independent variable when calculating class probabilities.
Statement C is also correct because Naive Bayes is commonly used for classification problems such as spam detection, where the model predicts whether an email is spam or not spam. It is also used in sentiment analysis, text classification, document categorization, and simple probabilistic classification tasks.
Statement B is not the best statement because the key idea is not about "unique features" specifically, but about the independence assumption applied to features. Therefore, the correct answer is D. a and c only .
NEW QUESTION # 24
Which of the following is the CORRECT stage of the Data and AI Analytics Business Model Maturity Index?
Answer: C
Explanation:
The correct answer is E. All of the above because the Data and AI Analytics Business Model Maturity Index describes how organizations progress in their ability to use data, analytics, and AI for business value creation.
Business Monitoring is a valid stage because organizations first use data to observe performance, track metrics, and understand what is happening in the business. Business Insights is also a correct stage because analytics then helps organizations explain why things are happening and identify patterns, opportunities, and risks.
Business Optimization is another valid stage because mature organizations use analytics and AI to improve processes, decisions, resources, customer experiences, and operational outcomes. Cultural Transformation is also part of maturity because long-term AI and data success requires a shift in mindset, leadership behavior, decision-making culture, and enterprise-wide adoption of data-driven practices.
Since all listed options represent stages or maturity areas in the Data and AI Analytics Business Model Maturity Index, the correct answer is E. All of the above .
NEW QUESTION # 25
Deep Learning is a subset of ____.
Answer: D
Explanation:
The correct answer is A. Machine Learning . Deep learning is a specialized subset of machine learning that uses artificial neural networks with multiple layers to learn patterns from data. These layered neural networks can automatically discover features and representations from large datasets, which makes deep learning especially useful for image recognition, speech recognition, natural language processing, recommendation systems, and generative AI applications.
Artificial intelligence is the broader field that includes machine learning, expert systems, reasoning systems, robotics, natural language processing, and other intelligent technologies. Machine learning is a branch within artificial intelligence, and deep learning is a further subset within machine learning. Artificial Narrow Intelligence refers to AI systems designed for specific tasks, while Artificial General Intelligence refers to a theoretical system with broad human-like intelligence. Since deep learning is most directly and correctly classified as a subset of machine learning, the best answer is A .
NEW QUESTION # 26
Select the most INCORRECT risk-scoring methodology function statement for retrospective/concurrent.
Answer: D
Explanation:
The correct answer is D. a and b only because statements A and B are the most incorrect for retrospective
/concurrent risk-scoring methodology. Retrospective/concurrent risk assessment is mainly used to evaluate model risk based on past or present evidence, current model behavior, observed incidents, model performance changes, risk indicators, and investigation findings. It is not primarily a future-prediction method.
Statement A is incorrect because it says retrospective/concurrent methods "predict" model risk after analyzing historical model performance. Historical performance may be reviewed, but retrospective/concurrent risk scoring is more about assessing or investigating past and current risk conditions, not predicting future risk.
Statement B is also incorrect because using current model risk to predict overall model risk for future cycles describes prospective risk, not retrospective/concurrent risk. Statement C is correct because retrospective
/concurrent review is suitable when there are changes in model behavior, risk indicators, attacks, data loss, or investigation needs. Therefore, the most incorrect statements are A and B only .
NEW QUESTION # 27
Which of the following is NOT a CORRECT element of the Planning and execution phase in the risk framework?
Answer: C
Explanation:
The correct answer is D. Ethics because ethics is not best treated as a single operational element of the planning and execution phase. In an AI risk framework, the planning and execution phase usually focuses on practical implementation activities such as defining the AI use case, aligning the solution with strategy, assessing financial feasibility, designing the product or solution, and preparing it for release. These activities help convert an AI concept into a working business or technical solution.
Conceptualization of the AI use case is correct because every AI initiative must begin with a clearly defined problem, objective, and intended business value. Strategy is also correct because the AI solution must align with organizational goals and risk appetite. Finance is relevant because organizations must consider cost, investment, expected return, and resource allocation. Design and release of the final product or solution is also part of execution.
Ethics is important across the entire AI lifecycle, but it is not the specific planning and execution element listed here. Therefore, the best answer is D. Ethics .
NEW QUESTION # 28
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