[2023年10月28日] 最新更新されたのはArtificial-Intelligence-Foundation試験問題2023年更新
無料更新されたAPMG-International Artificial-Intelligence-Foundationテストエンジン問題には40問題と解答
APMG-International Artificial-Intelligence-Foundation Certificationを取得することで、プロフェッショナルにはいくつかの利点があります。AIの概念や原則を理解し実装することに専念することを証明し、キャリアの見通しを向上させることができます。また、認定を取得することで、プロフェッショナルは就職市場で競争優位性を得ることができ、同僚との差別化にも役立ちます。さらに、認定を取得することで、様々な産業におけるAIの専門知識に対する需要を活用することができます。
質問 # 21
Who was the pioneer of computer programming?
- A. Dame Wendy Hall.
- B. Ada Lovelace.
- C. Karen Spark Jones.
- D. Sophie Wilson
正解：B
解説：
Explanation
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers Ada Lovelace was an English mathematician and writer who is widely credited as the pioneer of computer programming. In 1842, she wrote an article in which she outlined the fundamental principles of computing, making her the first person to recognize the potential of computers and to describe algorithms that could be used to program them. Her work laid the basis for modern computing and is recognized as one of the most significant contributions to the field of computing.
References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/ https://www
質問 # 22
A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?
- A. A two-dimensional array of scalars.
- B. An array of complex numbers
- C. An array with one dimension.
- D. A constant
正解：C
解説：
Explanation
In computer programming, a vector is a data structure that contains a collection of elements that are all of the same type. Each element in the vector has an associated index, which can be used to access and modify the element at that index. Vectors are commonly used to store collections of numerical values (e.g., integers or floating-point numbers) or strings, but they can also be used to store any type of data.
References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 36 [2] APMG International, "What is a Vector in Computer Programming?", https://apmg-international.com/en/blog/what-is-a-vector-in-computer-programming/ [3] EXIN, "What is a Vector in Computer Programming?", https://www.exin.com/blog/what-is-a-vector-in-computer-programming/
質問 # 23
What does TRL stand for?
- A. Technology Readiness Level.
- B. Transport Ready Level.
- C. Technical Robotic Level.
- D. Transform Reinforced Learning
正解：A
解説：
Explanation
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-,Technolog TRL stands for Technology Readiness Level and is a measure of how close a technology is to being ready for use in a real-world environment. TRL is used to assess the progress of research and development of a technology, ranging from basic research (TRL 1) to fully operational (TRL 9). TRL is used to help determine the level of completion of a technology and its potential success in a real-world environment.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international
質問 # 24
What function is used in a Neural Network?
- A. Linear.
- B. Statistical.
- C. Trigonometric.
- D. Activation.
正解：D
解説：
Explanation
Activation Functions
An activation function in a neural network defines how the weighted sum of the input is transformed into an output from a node or nodes in a layer of the network.
https://machinelearningmastery.com/choose-an-activation-function-for-deep-learning/#:~:text=An%20activation An activation function is a mathematical function used in a neural network to determine the output of a neuron. Activation functions are used to transform the inputs into an output signal and can range from simple linear functions to complex non-linear functions. Activation functions are an important part of neural networks and help the network learn patterns and generalize data. Types of activation functions include sigmoid, ReLU, tanh, and softmax. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/
質問 # 25
Which factor of a Waterfall' approach is most likely to result in the failed delivery of an Al project?
- A. Discourages revisiting and revising any prior phase once it is complete.
- B. Takes longer to deliver all functional requirements.
- C. Discourages collaboration and cross boundary communication.
- D. Takes longer to complete the design phase of the project.
正解：A
解説：
Explanation
The Waterfall approach is a sequential design process in which each phase of development must be completed before the next phase can begin. This means that once a phase is complete, it is difficult to go back and make changes, as any changes made to the project could potentially affect all the other phases. As a result, the Waterfall approach can make it difficult to adapt to changing customer requirements or adjust to new technology. This can ultimately lead to the failed delivery of an AI project.
References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 19 [2] APMG International, "What is a Waterfall Model?", https://apmg-international.com/en/blog/what-is-a-waterfall-model/ [3] EXIN, "What is the Waterfall Model?", https://www.exin.com/blog/what-is-the-waterfall-model/
質問 # 26
Which of the following is an advantage of a machine based system?
- A. Capable of sympathising with humans.
- B. Able to judge ambiguous and unknown situations.
- C. Undertakes monotonous tasks reliably and accurately.
- D. Can explain the output of an Al system
正解：C
解説：
Explanation
One of the main advantages of a machine-based system is its ability to reliably and accurately undertake monotonous and repetitive tasks. This is especially useful for tasks that require a high level of accuracy and precision, such as data entry or analysis. Machine-based systems are also able to process large amounts of data quickly, meaning that they are able to complete tasks more quickly and efficiently than humans. Additionally, machine-based systems can be programmed to take certain decisions and actions based on the input data, allowing them to automate certain processes without the need for human intervention. References:
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI Systems, Chapter 8.
* https://www.apmg-international.com/en/al-adoption/advantages-of-al/
質問 # 27
Professor David Chalmers described consciousness as having two questions. What were these?
- A. Can we integrate our knowledge to form consciousness and can we simulate consciousness?
- B. What is the sub conscious and what is the conscious?
- C. Are only humans conscious and are machines always unconscious?
- D. An easy one and a hard one.
正解：B
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. Extract ergodic solutions.
- B. Select a combination of hypothesis to combine their predictions
- C. Test multiple hypotheses simultaneously.
- D. Use stochastic gradient descent to optimise a network.
正解：B
解説：
Explanation
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20comb It works by selecting different subsets of the data, or different combinations of the hypothesis, and combining the results of each prediction in order to create a single, more accurate result. This is useful in situations where different hypothesis may be accurate in different parts of the data, or where a single hypothesis may not be accurate in all cases. Ensemble learning is used in a variety of applications, from computer vision to natural language processing.
References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, BCS [2] Apmg-international.com, "What is Ensemble Learning?", APMG International, https://apmg-international.com/en/about-apmg/blog/what-is-ensemble-learning/ [3] Exin.com,
"Ensemble Learning", EXIN, https://www.exin.com/en-us/learn/ensemble-learning
質問 # 29
What is one of the MAIN contributions of Al to the rapid development of The Fourth Industrial Revolution?
- A. Enhanced design.
- B. Automation
- C. Big Data
- D. Al personal assistants.
正解：B
解説：
Explanation
https://research.com/careers/what-is-the-fourth-industrial-revolution
Artificial Intelligence (AI) is playing a major role in the rapid development of the Fourth Industrial Revolution. AI technologies are enabling the automation of many processes that were previously carried out by humans or machines, which has greatly increased the speed, efficiency, and accuracy of these processes.
Automation is one of the main contributions of AI to the Fourth Industrial Revolution, as it has greatly increased the productivity of businesses and industries, while reducing the cost of production and improving the quality of products.
References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/ https://www
質問 # 30
An intelligent robot uses Al to do what?
- A. Perceive, plan and act.
- B. Sense, plan and move.
- C. Plan, act and speak.
- D. Sense, plan and act
正解：A
解説：
Explanation
An intelligent robot uses Artificial Intelligence (AI) to perceive its environment, plan its actions and then act on them. This is sometimes referred to as the "sense, plan, act" cycle, and is at the heart of what makes a robot intelligent. By using AI, robots can sense their environment, plan their actions accordingly and then act on them in order to complete their tasks.
For more information, please refer to the BCS Foundation Certificate in Artificial Intelligence Study Guide: https://www.bcs.org/category/18076/bcs-foundation-certificate-in-artificial-intelligence-study-guide.
質問 # 31
Collaboration, learning and iterative are terms used to describe what?
- A. Agile projects
- B. Rapid software development.
- C. Waterfall projects.
- D. Trustworthy Al.
正解：A
解説：
Explanation
Collaboration, learning, and iterative are terms used to describe agile projects. Agile projects are designed to be adaptive and flexible, allowing teams to incorporate feedback and learn from their mistakes. This process encourages collaboration between team members, and emphasizes the importance of iterative development and continual improvement. Agile projects focus on delivering value quickly and efficiently, allowing teams to make changes and adapt to changing customer needs.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international
質問 # 32
In the 1800's the development of statistics led to___________theorem and is used in probabilistic inference.
(Select the missing word.)
- A. Kolmogorov's
- B. Bayes'
- C. Boltzmann's
- D. The central limit
正解：B
解説：
Explanation
The development of statistics in the 1800s led to the development of the Bayes' theorem, named after Reverend Thomas Bayes. This theorem is used in probabilistic inference, which is the process of using data to calculate the likelihood of a hypothesis or outcome. The theorem is used for determining the probability of an event occurring given its prior probability, as well as its associated conditions. The Bayes' theorem is also used in a variety of fields, such as machine learning, artificial intelligence, economics, and medical research.
Sources:
* BCS Foundation Certificate In Artificial Intelligence Study Guide: https://www.bcs.org/category/18071
* APMG
International: https://www.apmg-international.com/en/qualifications/qualification-resources/bcs-foundatio
* EXIN: https://www.exin.com/en/certification/bcs-foundation-certificate-in-artificial-intelligence
質問 # 33
Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?
- A. Automated blood sampling.
- B. Autonomous wheelchairs.
- C. Autonomous vehicles.
- D. Diagnostic image analysis
正解：D
解説：
Explanation
Healthcare can benefit from AI, and in particular Machine Learning, in a number of ways. One example is diagnostic image analysis, which can help to automatically identify and classify abnormalities in medical images such as X-rays, CT scans, and MRI scans. Machine Learning algorithms can be used to detect patterns in the data which can be used to accurately diagnose diseases and illnesses.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international
質問 # 34
Human-centric trustworthy Al must be...
- A. tested by humans.
- B. financially sustainable.
- C. quality assurance certified.
- D. continually assessed and monitored.
正解：D
解説：
Explanation
Human-centric trustworthy Al must be continually assessed and monitored in order to ensure that it is behaving in a safe and ethical manner. This includes conducting regular tests and audits to ensure that the Al is functioning as intended, and is not taking any actions or decisions that could potentially harm humans or their environment. 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 # 35
What is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a class of problems?
- A. An algorithm.
- B. An approach.
- C. A paradigm.
- D. A set
正解：C
解説：
Explanation
A paradigm is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a class of problems. Paradigms are often used in Artificial Intelligence to provide a structure for problem solving, allowing for better understanding of the problem and providing a framework for developing a solution. For example, the logic-based approach is a paradigm that uses logical reasoning to solve problems.
For more information, please refer to the BCS Foundation Certificate in Artificial Intelligence Study Guide: https://www.bcs.org/category/18076/bcs-foundation-certificate-in-artificial-intelligence-study-guide.
質問 # 36
What is an intelligent robot?
- A. A robot that uses Al techniques.
- B. A robot that acts like a human.
- C. A robot that has consciousness
- D. A robot that takes the place of a human.
正解：A
解説：
Explanation
An intelligent robot is one that uses AI techniques, such as machine learning and natural language processing, to perceive, plan and act on its environment. Intelligent robots are able to process large amounts of data quickly and accurately, allowing them to make decisions and carry out tasks autonomously. Intelligent robots can be used in a variety of applications, from industrial automation to healthcare.
質問 # 37
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100%の合格率を試そう！更新されたのはArtificial-Intelligence-Foundation試験問題 [2023年更新]：https://www.passtest.jp/APMG-International/Artificial-Intelligence-Foundation-shiken.html
ベストな問題集を使おうArtificial Intelligence Artificial-Intelligence-Foundation専門試験問題：https://drive.google.com/open?id=1-beqlABx0ompicSjo9Phwxt33u0JrXdj