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問題 #47
Choose the CORRECT statement for SOFT Launch.
答案：A
解題說明：
The correct answer is E. a, b and c only because all three statements correctly describe a soft launch. A soft launch is a limited and controlled release of a new product, service, platform, or feature before a full public launch. Organizations use it to test the product in a real or semi-real market environment while reducing risk and maintaining control over the launch process.
Statement A is correct because a soft launch is not a large-scale public release; it is usually restricted to a smaller audience, region, user group, or market segment. Statement B is also correct because companies may handpick early users, beta testers, internal customers, loyal customers, or selected market participants to try the product first. Statement C is correct because a soft launch helps the company observe customer reactions, collect feedback, identify defects, test adoption, validate messaging, and estimate customer acquisition costs.
Since A, B, and C are all accurate, the best answer is E. a, b and c only .
問題 #48
Which of the following is a CORRECT statement for Fine-tuning?
答案：A
解題說明：
The correct answer is E. a, b and c only because all three statements accurately describe fine-tuning. Fine- tuning is a machine learning and AI technique where a model that has already been trained on a large dataset is further trained or adapted for a more specific task, domain, or use case. This is common in natural language processing, generative AI, computer vision, and business AI applications.
Statement A is correct because fine-tuning adapts a pre-trained model to a new task. Statement B is also correct because during fine-tuning, some or all model parameters may be updated based on task-specific data.
Statement C is correct because the main advantage of fine-tuning is that it uses the general knowledge already learned by the pre-trained model instead of building a new model from the beginning. This saves time, data, compute resources, and often improves performance on specialized tasks. Therefore, the best answer is E .
問題 #49
Which of the following is NOT a learning category for the ML model?
答案：A
解題說明：
The correct answer is D. Semi Reinforcement learning because it is not commonly recognized as a standard learning category for machine learning models. The major machine learning categories include supervised learning, unsupervised learning, reinforcement learning, and semi-supervised learning. Supervised learning uses labeled datasets where the model learns from known input-output examples. Unsupervised learning uses unlabeled data to discover patterns, clusters, or hidden structures. Reinforcement learning trains an agent through interaction with an environment using rewards and penalties. Semi-supervised learning combines a small amount of labeled data with a larger amount of unlabeled data to improve learning when fully labeled datasets are limited.
"Semi Reinforcement learning" is not normally listed as a core ML learning category in standard AI and machine learning learning paths. Therefore, among the given options, the one that is NOT a learning category for the ML model is D. Semi Reinforcement learning .
問題 #50
Artificial narrow intelligence ANI is also commonly expressed as ____.
答案：D
解題說明：
The correct answer is A. Weak AI . Artificial Narrow Intelligence, or ANI, is commonly called Weak AI because it is designed to perform a specific task or a limited set of tasks within a defined domain. Examples include recommendation engines, search engines, spam filters, facial recognition systems, voice assistants, fraud detection tools, and chatbots. These systems can perform their assigned functions effectively, but they do not possess general intelligence, consciousness, self-awareness, or human-like understanding across all domains.
Strong AI and General AI refer to Artificial General Intelligence, which would be capable of broad reasoning, learning, and problem-solving across many tasks like a human. SuperAI refers to a theoretical level of intelligence beyond human capability. ExpertAI is not the standard expression for ANI. Since ANI is task- specific and limited in scope, it is correctly expressed as Weak AI .
問題 #51
Which type of AI mimics the human brain by building networks of artificial neurons?
答案：C
解題說明：
The correct answer is C. Neural Networks . Neural networks are AI and machine learning models inspired by the structure and function of the human brain. They are built using interconnected artificial neurons, also called nodes, which process input data, apply weights and activation functions, and pass information through layers to produc e an output. This structure allows neural networks to learn complex patterns from data.
Fuzzy logic is incorrect because it deals with reasoning under uncertainty using degrees of truth rather than artificial neurons. Genetic algorithms are optimization methods inspired by natural selection and evolution, not the brain's neuron-based structure. Expert systems use rules and knowledge bases to make decisions, but they do not mimic the brain through networks of artificial neurons. Since the question specifically asks about AI that mimics the human brain by building artificial neuron networks, the correct answer is C. Neural Networks .
問題 #52
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