APMG-International Artificial-Intelligence-Foundation Latest Mock Test | Artificial-Intelligence-Foundation Latest Study Guide by dorosam857 dorosam857

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The APMG-International Artificial-Intelligence-Foundation (Foundation Certification Artificial Intelligence) Exam is an important credential for individuals who want to advance their careers in the field of artificial intelligence. The certification can help professionals demonstrate their competency and knowledge in AI, which can lead to new job opportunities and higher salaries. Additionally, the certification can provide individuals with a valuable competitive advantage in the rapidly evolving field of AI.

One of the key benefits of the APMG-International Artificial-Intelligence-Foundation Certification Exam is that it provides a standard platform for individuals and businesses to demonstrate their knowledge of AI. This certification can be used as a benchmark for employers to assess the skills and knowledge of potential employees, as well as for individuals to showcase their understanding of AI to clients and colleagues.

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To earn the APMG-International Artificial-Intelligence-Foundation certification, candidates must pass a rigorous exam that tests their knowledge and understanding of AI fundamentals. The exam consists of 40 multiple-choice questions, and candidates have 60 minutes to complete it. The passing score is 65%, and the exam can be taken online or in-person at an accredited testing center.

APMG-International Foundation Certification Artificial Intelligence Sample Questions (Q11-Q16):

NEW QUESTION # 11
Sustainability focuses on which three core areas?

A. Social, Economic and Environmental.B. Social, Economic and Entrepreneurial.C. Social, Entrepreneurial and Environmental.D. Scientific, Environmental and Economic.

Answer: A

Explanation:
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

NEW QUESTION # 12
In Machine learning what are a brain's axons called?

A. EdgesB. Tetrahedra.C. DendritesD. Nodes

Answer: D

Explanation:
Explanation
In Machine Learning, the brain's axons are referred to as nodes. Nodes are the components of a neural network that are responsible for processing the input data and generating the output. A node is a mathematical function that takes input data, performs a computation on it, and produces an output. Each node is connected to other nodes in the network via edges, which represent the strength of the connection between the respective nodes. The strength of the connection between two nodes is determined by the weights assigned to each edge.
The weights are adjusted during the training process to generate the desired results.
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).

NEW QUESTION # 13
Collaboration, learning and iterative are terms used to describe what?

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

Answer: B

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 # 14
What is one of the MAIN contributions of Al to the rapid development of The Fourth Industrial Revolution?

A. Al personal assistants.B. Big DataC. Enhanced design.D. Automation

Answer: D

Explanation:
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

NEW QUESTION # 15
Ensemble learning methods do what with the hypothesis space?

A. Extract ergodic solutions.B. Use stochastic gradient descent to optimise a network.C. Select a combination of hypothesis to combine their predictionsD. Test multiple hypotheses simultaneously.

Answer: C

Explanation:
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

NEW QUESTION # 16
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