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APMG-International Artificial-Intelligence-Foundation (Foundation Certification Artificial Intelligence) Exam is a certification program designed to validate an individual's understanding of the fundamental concepts of artificial intelligence. Artificial-Intelligence-Foundation exam is intended for professionals who wish to build a career in AI, including IT professionals, managers, and executives. Foundation Certification Artificial Intelligence certification is an excellent way to demonstrate your knowledge and skills in AI to potential employers and clients.
APMG-International Artificial-Intelligence-Foundation (Foundation Certification Artificial Intelligence) Exam is a globally recognized certification program designed to provide individuals with a comprehensive understanding of artificial intelligence (AI) concepts and principles. Artificial-Intelligence-Foundation exam is ideal for professionals who want to gain a deeper understanding of AI and its applications in various industries such as healthcare, finance, and technology. Artificial-Intelligence-Foundation exam is based on the APMG-International Artificial Intelligence syllabus, which covers a wide range of topics including machine learning, natural language processing, computer vision, and robotics.
NEW QUESTION # 20
Collaboration, learning and iterative are terms used to describe what?
Answer: A
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
From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean?
Answer: C
Explanation:
Explanation
The Principle of Autonomy from the ELL's ethics guidelines for Al states that Al systems should be designed in a way that preserves human agency and responsibility. This means that Al systems should be designed in a way that allows humans to remain in control of their decisions, and that the Al system should not be able to act without human input or permission. 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 # 22
Human-centric trustworthy Al must be...
Answer: A
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 # 23
Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?
Answer: D
Explanation:
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
NEW QUESTION # 24
What are monotonous and repetitive tasks, that require accuracy BEST suited to?
Answer: C
Explanation:
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
NEW QUESTION # 25
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