IPA IP 2024 Question 95
A question IPA Japan published in 令和6年度 ITパスポート試験 公開問題 問95, translated into English. ITPEC is based on the same exams.
Same question on ITPEC: Apr 2026 Q13
Which of the following is the most appropriate technology that is used in deep learning, an AI-related technology?
Explanation
Neural network — the model of connected artificial neurons on which deep learning is built.
A neural network connects simple units (artificial neurons) in layers. Each unit multiplies its inputs by weights, adds them up and passes the result to the next layer. Training adjusts the weights so that the outputs match the training data. Deep learning uses networks with many hidden layers, which learn the features of large volumes of data, such as images or speech, by themselves.
Answer (b)
Why not others:
- •(a) Social network — the relationships among people, as on an SNS; it is not a learning model
- •(c) Feasibility study — a planning-stage study of whether a project is technically and economically possible
- •(d) Fault tolerant — a system design that keeps working when part of it fails, through redundancy
Key rule: Deep learning is machine learning with multilayer neural networks; "deep" refers to the many hidden layers, which extract features without a person defining them.
Basic Theory · AI-written, may contain errors
This question comes from the past questions IPA Japan publishes, translated into English by ITPEC Practice. ITPEC Practice is an independent study tool and is not affiliated with IPA or ITPEC. See the original paper (PDF) or Report an issue.