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APMG-International 인공지능 기초 자격증: AI Foundation Exam은 전 세계적으로 인정받으며 고용주들에게 널리 존경받고 있습니다. 이 자격증은 소지자가 AI 개념과 응용 프로그램에 대한 견고한 이해를 갖고 있으며 이 지식을 업무에 적용할 수 있는 능력을 갖추었음을 나타냅니다. 이 자격증은 또한 전문가들이 AI 분야에서의 경력에 대한 헌신을 입증하고 경쟁이 치열한 취업 시장에서 두각을 나타내는 좋은 방법입니다.

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최신 Artificial Intelligence Artificial-Intelligence-Foundation 무료샘플문제 (Q36-Q41):

질문 # 36
The EU and United Nations have made designing for all individuals a core principle. What is this type of design called?

  • A. Core design
  • B. Universal design.
  • C. Biophilic design.
  • D. Utopic design.

정답：B

설명：
Explanation
https://universaldesign.ie/What-is-Universal-Design/
Universal design is a type of design that takes into account the needs of all individuals, regardless of age, ability, or physical condition. It is a principle that is embraced by the European Union and the United Nations, and it is based on the idea that products, services, and environments should be designed to be usable by the widest range of people possible. Universal design emphasizes accessibility, usability, and inclusivity, and it is often used to create products and services that are easy to use for people of all ages and abilities.
References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/ https://www


질문 # 37
A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?

  • A. A constant
  • B. An array with one dimension.
  • C. A two-dimensional array of scalars.
  • D. An array of complex numbers

정답：B

설명：
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/


질문 # 38
What are monotonous and repetitive tasks, that require accuracy BEST suited to?

  • A. Artificial General Intelligence.
  • B. Machine.
  • C. Human.
  • D. Human plus machine.

정답：B

설명：
Explanation
Monotonous and repetitive tasks that require accuracy are best suited to machines. Machines are able to accurately and quickly perform tasks that require little to no creativity, such as data entry or image recognition.
This is because machines are able to process large amounts of data quickly and accurately, and are less likely to make mistakes than humans. Additionally, machines are able to process large amounts of data without becoming bored or distracted, making them ideal for tasks that require consistent accuracy. For more information, please see the BCS Foundation Certificate In Artificial Intelligence Study Guide or the resources listed above.
Search results: BCS Foundation Certificate in Artificial Intelligence Study Guide, Chapter 4: Machine Learning: https://www.bcs.org/category/19669


질문 # 39
With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?

  • A. Online learning.
  • B. Patchwork learning.
  • C. Big Data learning.
  • D. Batch learning.

정답：A

설명：
Explanation

Online learning is a type of machine learning that can be used when a large dataset is limited in computational resources or if the data is frequently changing. It allows the system to learn from new data as it is being presented, rather than having to re-train the entire dataset each time new data is added. This makes it more efficient and effective than batch learning, as it only needs to process the new data and not the entire dataset.
Online learning is often used in applications such as fraud detection, where new data is constantly being added and needs to be analyzed quickly.
For more information, please refer to the BCS Foundation Certificate In Artificial Intelligence Study Guide (https://www.bcs.org/upload/pdf/bcs-foundation-certificate-in-artificial-intelligence-study-guide.pdf) or the EXIN Artificial Intelligence Foundation Certification (https://www.exin.com/en/exams/artificial-intelligence-foundation).


질문 # 40
How could machine learning make a robot autonomous?

  • A. Use OCR, optical character recognition, to read documents
  • B. Use actuators to modify its environment
  • C. Use NLP (Natural Language Processing) to listen
  • D. Learn from sensor data and plan to carry out a task.

정답：D

설명：
Explanation
Machine learning can be used to make robots autonomous by allowing them to learn from sensor data and plan how to carry out a task. This involves using algorithms to analyze data from sensors and use this data to make decisions and take actions. By using machine learning, robots can learn from their environment and become more autonomous. References:
[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Robotics", p.98. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"


질문 # 41
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