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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Machine Learning & Algorithms | 20% | - Model Training, Evaluation & Optimization - Popular Algorithms
|
| Topic 2: Data Preparation & Engineering | 15% | - Data Quality & Governance - Feature Engineering & Selection - Data Collection & Sources - Data Cleaning, Preprocessing & Transformation |
| Topic 3: AI Technologies & Tools | 15% | - AI Applications: NLP, Computer Vision, Predictive Analytics - Frameworks: TensorFlow, PyTorch, Scikit-learn - Cloud AI Platforms (AWS, Azure, Google Cloud) - Automation & RPA Integration |
| Topic 4: Ethics, Governance & Future Trends | 10% | - Emerging Trends & Future of AI - Data Privacy, Security & Compliance - Explainable AI & Transparency - AI Ethics, Bias & Fairness |
| Topic 5: AI Fundamentals & Concepts | 15% | - Introduction to Artificial Intelligence
- AI vs Traditional Programming |
| Topic 6: AI in Business & Consulting | 25% | - Cost-Benefit Analysis & ROI Calculation - AI Project Management & Governance - Implementation Planning & Change Management - AI Strategy & Roadmap Development - Identifying AI Use Cases & Opportunities |
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問題 #58
Choose the INCORRECT statement for Industry Architect.
答案：E
解題說明：
The incorrect statement is B because it describes DevOps, not an Industry Architect. A collaborative approach that bridges development and operations teams is the core idea of DevOps, where software development, IT operations, automation, continuous integration, continuous deployment, monitoring, and delivery practices are aligned to improve speed and reliability.
An Industry Architect, on the other hand, focuses on designing technology and business solutions for a specific industry or vertical, such as healthcare, finance, retail, manufacturing, or telecommunications. This role requires strong domain knowledge, awareness of industry regulations, understanding of business processes, and the ability to translate industry-specific requirements into practical technical solutions. Industry Architects work with executives, subject matter experts, business teams, and technology teams to ensure that solutions meet business goals and industry expectations. Therefore, options A, C, D, and E correctly describe the Industry Architect role, while B is the incorrect statement.
問題 #59
Supervised learning is a type of machine learning where the algorithm learns from a ______.
答案：E
解題說明：
The correct answer is A. labeled dataset . Supervised learning is a machine learning method in which an algorithm is trained using data that already contains the correct output labels or target values. Each training example includes input features and a known answer, allowing the model to learn the relationship between the inputs and the expected output. Once trained, the model can use that learned relationship to classify or predict outcomes for new data.
An unlabeled dataset is used in unsupervised learning, where the model identifies hidden patterns, clusters, or relationships without predefined labels. An "explained dataset" is not a standard machine learning category.
Option D is incorrect because supervised learning does not learn from both labeled and unlabeled datasets as its primary definition. Option E is also incorrect because "explained dataset" is not the correct term.
Therefore, supervised learning learns from a labeled dataset , making A the correct answer.
問題 #60
XAI stands for ______.
答案：D
解題說明：
XAI stands for Explainable Artificial Intelligence. It refers to AI systems, models, and methods that help humans understand how an AI model reaches a decision, prediction, or recommendation. In business and responsible AI contexts, explainability is important because leaders, users, regulators, and stakeholders need to know why an AI system produced a specific result, especially in high-impact areas such as finance, healthcare, hiring, insurance, and public services.
Explainable AI supports transparency, accountability, trust, auditability, and risk management. It helps identify whether a model is relying on appropriate factors or producing biased, unfair, or unreliable outcomes.
"Extensible Artificial Intelligence" and "Exceptional Artificial Intelligence" are not standard meanings of XAI in artificial intelligence documentation. Since the accepted and correct expansion of XAI is Explainable Artificial Intelligence, the correct answer is B .
問題 #61
Choose the CORRECT statement for GenAI.
答案：D
解題說明：
The correct answer is E. All of the above because all three statements describe the broader idea of general intelligence in AI systems. GenAI in this question is presented as intelligence that goes beyond narrow, task- specific AI and aims to support broader reasoning, learning, adaptation, and performance across multiple domains.
Statement A is correct because general AI focuses on systems that can demonstrate human-like cognitive abilities and perform different kinds of tasks rather than being limited to one predefined function. Statement B is also correct because architects working on such advanced AI systems must design solutions that go beyond specific use cases and support more general intelligence capabilities. Statement C is correct because general AI systems are expected to learn from limited data, transfer knowledge across domains, adapt to changing environments, and perform reliably in uncertain situations.
Since A, B, and C are all correct, the best answer is E. All of the above .
問題 #62
Which of the following is a regulatory requirement?
答案：E
解題說明：
The correct answer is E. a, b and c only because HIPAA, GDPR, and CCPA are all regulatory requirements that organizations may need to follow when collecting, processing, storing, sharing, or protecting data. In AI and data-driven business environments, regulatory compliance is important because AI systems often depend on large volumes of personal, sensitive, customer, health, or behavioral data.
HIPAA is a United States healthcare regulation that protects sensitive patient health information. GDPR is a European Union data protection regulation that governs personal data processing, privacy rights, consent, data minimization, and accountability. CCPA is a California privacy law that gives consumers rights related to personal information, including access, deletion, and opt-out rights. These regulations affect how organizations design AI systems, manage data governance, ensure privacy, reduce risk, and maintain responsible AI practices.
Since all three listed items are valid regulatory requirements, the correct answer is E. a, b and c only .
問題 #63
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