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| Section | Objectives |
|---|---|
| Topic 1: AI Fundamentals and Data Systems | - Developing and deploying data systems related to AI - Fundamentals of Artificial Intelligence and Machine Learning |
| Topic 2: AI Solutions and Workflows | - Advanced robotics - Fraud prevention with Cloud AI solutions - Sentiment analysis - AI workflows |
| Topic 3: Neural Networks and Technical Applications | - Designing, developing, and troubleshooting technical applications on neural networks - Enhancing approaches to problems such as translation, speech recognition, and image classification |
| Topic 4: Deployment and Maintenance | - Development, deployment, testing, and maintenance of AI applications |
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質問 # 58
Which one of the following is a CORRECT benefit for using AI in product development?
正解：D
解説：
The correct answer is D. a and b only because AI provides strong benefits across the product development life cycle, especially by improving speed, decision quality, and data-driven design. Statement A is correct because AI can shorten the product development life cycle by automating research, analyzing customer feedback, generating product ideas, supporting rapid prototyping, improving testing, and helping teams identify risks or opportunities earlier.
Statement B is also correct because applying AI throughout the PDLC helps organizations use data consistently at every stage, from ideation and market research to design, testing, launch, and post-launch improvement. This means products are not only based on data at the beginning but continue to reflect data- driven insights throughout development.
Statement C is not the best answer because "increase the product feature" is unclear and grammatically incomplete. AI may help improve features or identify new feature opportunities, but the statement is not as accurate as A and B. Therefore, the best answer is D. a and b only .
質問 # 59
What is solution architecture?
正解：C
解説：
Solution architecture is the structured design blueprint that explains how a business or technology solution will be built, integrated, operated, secured, and scaled. Option A is correct because solution architecture guides development and implementation by defining components, workflows, integrations, platforms, data flows, and technical decisions. Option B is also correct because a complete solution architecture considers the whole system, including infrastructure, networking, security, compliance, operations, cost, performance, and reliability. These elements are necessary to ensure that the solution can work in a real enterprise environment.
Option C is also correct because solution architecture does not only address current business requirements. It also supports future growth by planning for scalability, maintainability, adaptability, and long-term business success. Since all three statements accurately describe solution architecture, the most complete and correct answer is E. a, b and c only .
質問 # 60
Which of the following statement is CORRECT for RNN?
正解：D
解説：
The correct answer is E. a, b and c only because all three statements correctly describe Recurrent Neural Networks and their limitation. RNNs are neural network models designed for sequential data such as text, speech, time-series data, and ordered events. They process information step by step and use previous hidden states to influence later outputs.
Statement A is correct because a major drawback of traditional RNNs is their difficulty in remembering information over many time steps. This happens mainly because of vanishing gradient problems during training. Statement B is also correct because standard RNNs generally struggle with long-term dependencies, meaning they may fail to retain important information from earlier parts of a sequence. Statement C is correct because Long Short-Term Memory networks are a specialized extension of RNNs designed to handle long- term memory more effectively using gates that control what information is stored, forgotten, and passed forward.
Therefore, the best answer is E. a, b and c only .
質問 # 61
Which one of the following is a NOT good attribute of solution architecture?
正解：B
解説：
The correct answer is C. Tightly coupled architecture because a strong solution architecture should promote flexibility, scalability, maintainability, integration readiness, and adaptability. A tightly coupled architecture means system components are highly dependent on one another. This creates problems when teams need to update, scale, replace, test, or modify one part of the system, because changes in one component can easily affect other components. In enterprise AI and software solution design, this increases operational risk, slows innovation, and makes future growth more difficult.
Technology alignment with business requirements is a good attribute because architecture must support business goals and operational needs. Scalability and flexibility are also good attributes because modern solutions must handle growth, changing workloads, and evolving requirements. Risk mitigation is a strong architectural objective because good design reduces security, performance, compliance, and operational risks.
Increased ROI is also a desired outcome when architecture improves efficiency and business value. Therefore, the attribute that is NOT good is C. Tightly coupled architecture .
質問 # 62
XAI stands for ______.
正解：D
解説：
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 .
質問 # 63
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