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The APMG-International Artificial-Intelligence-Foundation Certification Exam is a comprehensive exam that covers a wide range of topics related to AI, including the history of AI, key AI technologies and concepts, and the ethical and social implications of AI. The exam is available online and can be taken from anywhere in the world. The exam consists of multiple-choice questions and requires a passing score of 65% to obtain certification.

The APMG-International Artificial-Intelligence-Foundation Exam covers various topics related to AI, including machine learning, natural language processing, robotics, and cognitive computing. The exam is designed to test the candidate's understanding of AI concepts and their ability to apply them to real-world scenarios. It also focuses on the ethical and social implications of AI, ensuring that candidates are aware of the potential impact of AI on society and the need to develop responsible AI solutions.

Free APMG-International Artificial-Intelligence-Foundation Practice Exams

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APMG-International Foundation Certification Artificial Intelligence Sample Questions (Q17-Q22):

NEW QUESTION # 17
Human-centric trustworthy Al must be...

A. quality assurance certified.
B. tested by humans.
C. continually assessed and monitored.
D. financially sustainable.

Answer: C

Explanation:
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.

NEW QUESTION # 18
What is defined as a machine that can carry out a complex series of tasks automatically?

A. An autonomous vehicle.
B. A production line.
C. A robot
D. A computer.

Answer: D

Explanation:
Explanation
https://en.wikipedia.org/wiki/Robot#:~:text=A%20robot%20is%20a%20machine,control%20may%20be%20em A computer is defined as a machine that can carry out a complex series of tasks automatically. Computers are used in a variety of applications, including artificial intelligence (AI), robotics, production lines, and autonomous vehicles. Computers are able to carry out complex tasks thanks to their ability to process large amounts of data quickly and accurately.
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.

NEW QUESTION # 19
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. A set
C. A paradigm.
D. An approach.

Answer: C

Explanation:
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.

NEW QUESTION # 20
Collaboration, learning and iterative are terms used to describe what?

A. Trustworthy Al.
B. Waterfall projects.
C. Agile projects
D. Rapid software development.

Answer: C

Explanation:
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

NEW QUESTION # 21
How could machine learning make a robot autonomous?

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

Answer: D

Explanation:
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"

NEW QUESTION # 22
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