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時代の発展に伴い、人間的な文明が発展し、Jpshikenも発展しています。Jpshikenは君の早くUSAIIのCAIC認定試験に合格するために、きみのもっと輝い未来のために、君の他人に羨ましいほど給料のために、ずっと努力しています。長年の努力を通じて、JpshikenのUSAIIのCAIC認定試験の合格率が１００パーセントになっていました。Jpshikenを選ぶなら、成功を選ぶのに等しいです。
質問 # 12
Choose the CORRECT example of Supervised Learning.
正解：E
解説：
The correct answer is B. House price prediction . Supervised learning is a machine learning approach where a model is trained using labeled data. In a house price prediction problem, the training data usually contains property features such as size, location, number of rooms, age of the house, and past selling prices. The known selling price acts as the label or target value. The model learns the relationship between the input features and the price, then predicts prices for new houses.
A driverless car is not the best single example because autonomous driving uses a combination of AI techniques, including supervised learning, reinforcement learning, computer vision, sensor fusion, planning, and control systems. ChatGPT is a generative AI language model and is not typically used as the basic example of supervised learning in this context. Since house price prediction directly represents supervised learning with labeled input-output data, the correct answer is B .
質問 # 13
Deep Learning is a subset of ____.
正解：C
解説：
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 .
質問 # 14
Which of the following is not a CORRECT common unsupervised learning model/algorithm?
正解：D
解説：
The correct answer is C. K-nearest neighbors KNNs because KNN is commonly used as a supervised learning algorithm, not an unsupervised learning algorithm. In supervised learning, the model uses labeled data to classify or predict outcomes for new data points. KNN works by comparing a new data point with nearby labeled examples and assigning a class or value based on those neighbors.
K-means clustering is a common unsupervised learning algorithm because it groups unlabeled data into clusters based on similarity. Principal Component Analysis PCA is also commonly associated with unsupervised learning because it reduces data dimensions by finding important patterns or directions of variance without requiring labeled outputs.
Since options A and B are valid unsupervised learning techniques, they are not the answer. The option that is not a correct common unsupervised learning model or algorithm is C. K-nearest neighbors KNNs .
質問 # 15
Which type of AI mimics the human brain by building networks of artificial neurons?
正解：B
解説：
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 .
質問 # 16
Which of the following is a CORRECT statement for DevOps architect?
正解：D
解説：
The correct answer is D. a and b only because statements A and B correctly describe DevOps and the role of a DevOps architect. DevOps is a collaborative approach that connects software development and IT operations so teams can build, test, deploy, monitor, and improve systems more efficiently. It emphasizes automation, communication, continuous delivery, monitoring, reliability, and faster release cycles.
Statement B is also correct because a DevOps architect is responsible for designing and optimizing CI/CD pipelines. These pipelines support continuous integration, automated testing, continuous deployment, infrastructure automation, and reliable software delivery. A DevOps architect may also consider monitoring, security, scalability, performance, and disaster recovery.
Statement C is incorrect because it describes the goal of advanced AI or artificial general intelligence, not DevOps. DevOps does not focus on creating human-like intelligent systems across multiple domains.
Therefore, the best answer is D. a and b only .
質問 # 17
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