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BCS AIF認定試験は、世界中の組織によって認識されており、個人のCVに貴重な追加です。この認定は、個人がAIテクノロジーと協力する知識とスキルを持ち、この分野の専門能力開発に取り組んでいることを示しています。さらに、BCS AIF認定試験は、AIの専門家のグローバルコミュニティへのアクセスを個人に提供し、AIの分野での最新のトレンドと開発について最新の状態を維持するのに役立ちます。
質問 # 16
A human manipulates what using their intelligence?
- A. Mission
- B. Environment
- C. Space
- D. Objective
正解：B
解説：
Explanation
Humans use their intelligence to manipulate their environment in order to achieve their objectives and complete their mission. This can involve a wide range of activities, such as building tools, constructing shelters, and creating strategies to solve problems. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/ai/certificate/ and APMG International, https://www.apmg-international.com/qualifications/artificial-intelligence-foundation-certificate.
質問 # 17
What does TRL stand for?
- A. Transform Reinforced Learning
- B. Technical Robotic Level.
- C. Technology Readiness Level.
- D. Transport Ready Level.
正解：C
解説：
Technology Readiness Level (TRL) Technology Readiness Levels (TRL) are a method of estimating the technology maturity of Critical Technology Elements (CTE) of a program during the acquisition process.
https://acqnotes.com/acqnote/tasks/technology-readiness-level#:~:text=Technology%20Development-,Technology%20Readiness%20Level%20(TRL),program%20during%20the%20acquisition%20process.
質問 # 18
Reflex and Model-based Reflex are two types of what?
- A. Compilers.
- B. Artificial intelligent agents.
- C. Algorithms.
- D. Robot
正解：B
質問 # 19
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?
- A. Leisure activities
- B. Higher value work.
- C. Change jobs.
- D. Sabotage the Al.
正解：C
質問 # 20
From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean?
- A. Robots will have freewill.
- B. Al systems will preserve human agency.
- C. Al agents will behave as humans.
- D. Al systems will be human-centric
正解：D
質問 # 21
What term do computer scientists and economists use to describe how happy an agent is?
- A. Index.
- B. Utility.
- C. Warm.
- D. Return
正解：B
解説：
Explanation
https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds
質問 # 22
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?
- A. UN's sustainability goals.
- B. A quality assurance plan.
- C. A human-centric value system.
- D. Customer feedback.
正解：A
質問 # 23
Collaboration, learning and iterative are terms used to describe what?
- A. Agile projects
- B. Waterfall projects.
- C. Trustworthy Al.
- D. Rapid software development.
正解：A
質問 # 24
Sustainability focuses on which three core areas?
- A. Social, Economic and Entrepreneurial.
- B. Social, Economic and Environmental.
- C. Scientific, Environmental and Economic.
- D. Social, Entrepreneurial and Environmental.
正解：B
解説：
Explanation
The term sustainability is broadly used to indicate programs, initiatives and actions aimed at the preservation of a particular resource. However, it actually refers to four distinct areas:human, social, economic and environmental - known as the four pillars of sustainability.
https://www.futurelearn.com/info/courses/sustainable-business/0/steps/78337#:~:text=However%2C%20it%20ac Sustainability focuses on these three core areas because they all have an impact on the environment and society. Social sustainability is concerned with the relationships between people and how to create a society that is equitable and fair for all members. Economic sustainability focuses on the creation of a viable economic system that provides for the needs of the present without compromising the ability of future generations to meet their own needs. Environmental sustainability focuses on protecting natural resources, ecosystems and habitats, and minimizing the impact of human activities on the environment.
References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/ https://www
質問 # 25
Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?
- A. Diagnostic image analysis
- B. Autonomous vehicles.
- C. Autonomous wheelchairs.
- D. Automated blood sampling.
正解：A
質問 # 26
Splitting data into Training and Test data sets is part of what?
- A. Machine learning post processing.
- B. High performance computing strategy.
- C. Machine learning data preparation.
- D. Batch learning.
正解：C
解説：
Explanation
Splitting data into training and test data sets is an important step in the machine learning data preparation process. This process involves splitting the data into subsets, usually in a 70:30 ratio, to create a training set and a test set. The training set is used to train the machine learning model, while the test set is used to evaluate the model's performance. This process allows for the model to be tested and evaluated on data that it has not seen before, in order to ensure that it is accurate and able to generalize to new data. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/
質問 # 27
Professor David Chalmers described consciousness as having two questions. What were these?
- A. What is the sub conscious and what is the conscious?
- B. Are only humans conscious and are machines always unconscious?
- C. An easy one and a hard one.
- D. Can we integrate our knowledge to form consciousness and can we simulate consciousness?
正解：A
解説：
Explanation
Professor David Chalmers described consciousness as having two questions: "What is it like to be conscious?" and "Can machines be conscious?". The first question, "What is it like to be conscious?", is an attempt to understand what it is like to experience the subjective aspects of consciousness, such as feeling, emotion, and perception. The second question, "Can machines be conscious?", is an attempt to understand whether or not machines can have the same kinds of subjective experiences as humans. For more information, please see the BCS Foundation Certificate In Artificial Intelligence Study Guide or the resources listed above.
質問 # 28
Ensemble learning methods do what with the hypothesis space?
- A. Test multiple hypotheses simultaneously.
- B. Use stochastic gradient descent to optimise a network.
- C. Select a combination of hypothesis to combine their predictions
- D. Extract ergodic solutions.
正解：C
解説：
Explanation
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20comb
質問 # 29
The EU and United Nations have made designing for all individuals a core principle. What is this type of design called?
- A. Biophilic design.
- B. Core design
- C. Utopic design.
- D. Universal design.
正解：D
解説：
https://universaldesign.ie/What-is-Universal-Design/
質問 # 30
Para View allows large data sets to be visualised on a parallel computer.
Which of the following is one of the techniques used?
- A. Dashboard.
- B. Eigen function analysis.
- C. Contour plot
- D. Norm calculation.
正解：C
解説：
Explanation
ParaView is an open-source, multi-platform visualization application that allows large data sets to be visualized on a parallel computer. ParaView uses a variety of techniques to visualize data, including contour plots, which are useful for visualizing 3D data sets. Contour plots are created by plotting a set of curves connecting points of equal value, with each curve representing a particular value. This allows 3D data sets to be visualized in a 2D format, making it easier to understand the data.
References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 19 [2] APMG International, "What is ParaView?", https://apmg-international.com/en/blog/what-is-paraview/ [3] EXIN,
"What is ParaView?", https://www.exin.com/blog/what-is-paraview/
質問 # 31
In Machine learning what are a brain's axons called?
- A. Edges
- B. Tetrahedra.
- C. Nodes
- D. Dendrites
正解：D
質問 # 32
What is one of the MAIN contributions of Al to the rapid development of The Fourth Industrial Revolution?
- A. Big Data
- B. Automation
- C. Enhanced design.
- D. Al personal assistants.
正解：A
解説：
Explanation
https://research.com/careers/what-is-the-fourth-industrial-revolution
質問 # 33
In an Al project the domain expert is the person...
- A. with special knowledge or skills in the area of endeavour and defines what is fit for purpose'
- B. who manages the agile projectand writes the technical terms of reference
- C. who measures the trustworthiness of the Al system
- D. with technical and managerial oversight of the business plan
正解：A
解説：
Explanation
In an AI project, a domain expert is a person with special knowledge or skills in that particular area of endeavour, and they are responsible for defining what is "fit for purpose" for the project. The domain expert provides insights into the problem and suggests ways to address it. They also provide guidance on evaluating and validating the AI system and its outputs. The domain expert is also responsible for communicating with stakeholders and providing feedback on the progress of the project. References:
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI & People, Chapter 12.
* https://www.apmg-international.com/en/al-adoption/domain-expert/
質問 # 34
How could machine learning make a robot autonomous?
- A. Use OCR, optical character recognition, to read documents
- B. Learn from sensor data and plan to carry out a task.
- C. Use NLP (Natural Language Processing) to listen
- D. Use actuators to modify its environment
正解：C
解説：
https://arxiv.org/pdf/1803.10813
質問 # 35
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