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質問 # 16
Choose the CORRECT statement for ChatGPT.
正解：A
解説：
The correct answer is B because ChatGPT's ability to maintain and use previous conversational context depends mainly on its model architecture, algorithmic design, token context window, and how the conversation history is processed. ChatGPT is based on large language model technology that uses patterns in prior text to generate relevant responses. It does not "remember" in the same way a human does; rather, it uses the available previous context within the conversation to predict and generate the next response.
Option A is partially true but incomplete because it says ChatGPT can maintain previous context without explaining the dependency on the model's design and context-handling mechanism. Option C is incorrect because TPU hardware may support model training or inference performance, but it does not determine conversational memory by itself. Since option C is wrong, "All of the above" cannot be correct. "None of the above" is also incorrect because option B correctly describes the concept. Therefore, the best answer is B .
質問 # 17
Choose the CORRECT option for conjoint analysis.
正解：A
解説：
The correct answer is E. All of the above because each statement accurately describes conjoint analysis and its business use. Conjoint analysis is a research technique used to understand how customers value different product or service attributes. It helps organizations evaluate trade-offs customers make between features, pricing, brand, quality, service levels, and other product characteristics.
Statement A is correct because conjoint analysis is commonly used in product and pricing research. Statement B is also correct because it identifies customer preferences and helps businesses decide which product features are most valuable to different customer segments. Statement C is correct because conjoint analysis can evaluate price sensitivity and estimate how changes in product features or pricing may affect demand and market share. Statement D is also correct because the method is widely used in product management, marketing strategy, advertising, product positioning, and go-to-market planning.
Since all listed statements are correct, the best answer is E. All of the above .
質問 # 18
Which one of the following should NOT be used while designing the prompt?
正解：A
解説：
The correct answer is E. All of the above because effective prompt design requires clarity, focus, structure, and useful constraints. Information overload should not be used because giving too much unnecessary detail can confuse the model, weaken the main instruction, and reduce the quality of the response. A prompt should include relevant context, but it should avoid excessive or unrelated information.
Open-ended questions should also be avoided when the goal is a specific, controlled, or business-ready answer. Broad prompts often produce vague, incomplete, or inconsistent outputs. Instead, prompts should clearly state the desired task, format, scope, and expected outcome. Lack of constraints is also a poor prompt design practice because constraints guide the model on length, tone, structure, audience, output type, and boundaries. Without constraints, the model may generate responses that are too broad, too long, or misaligned with the user's intent.
Since information overload, overly open-ended questions, and lack of constraints can all weaken prompt quality, the correct answer is E. All of the above .
質問 # 19
An AI agent learns to play a game by taking actions, receiving rewards for good moves, and penalties for poor moves. Over time, it improves its strategy to maximize total reward. This is an example of ______.
正解：E
解説：
Reinforcement learning is the correct answer because the AI agent learns by interacting with an environment and improving its behavior based on rewards and penalties. The goal of reinforcement learning is to learn a policy or strategy that maximizes cumulative reward over time. This differs from supervised learning, where the model learns from labeled input-output examples. It also differs from unsupervised learning, where the model searches for hidden patterns without labels or rewards. Semi-supervised learning is incorrect because the scenario does not involve a mix of labeled and unlabeled data. Regression learning is also incorrect because regression predicts continuous numerical values, while this example focuses on action selection and reward optimization. Therefore, the correct answer is C. reinforcement learning .
質問 # 20
Choose the CORRECT reasons. We want to study AI to automate things, because
正解：A
解説：
The correct answer is E. All of the above because each statement gives a valid reason for studying and using AI to automate tasks. Modern organizations deal with massive volumes of data that are too large and complex for humans to process manually. AI helps analyze this data quickly, detect patterns, and support better decisions.
Statement B is also correct because data now comes from many sources at the same time, including sensors, applications, customers, transactions, machines, documents, and digital platforms. This data is often unstructured, noisy, and difficult to manage without intelligent automation. Statement C is correct because business knowledge must be updated continuously as data changes. AI systems can learn from new patterns and support faster adaptation. Statement D is also correct because many AI applications, such as robotics, autonomous systems, fraud detection, and industrial automation, require real-time sensing, decision-making, and precise action.
Since all four reasons support the need for AI-driven automation, the correct answer is E. All of the above .
質問 # 21
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