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Artificial-Intelligence-Foundation Exam Bootcamp: Foundation Certification Artificial Intelligence & Artificial-Intelligence-Foundation Original Questions & Artificial-Intelligence-Foundation Exam Prep

Perhaps now you are one of the candidates of the APMG-International Artificial-Intelligence-Foundation exam, perhaps now you are worried about not passing the exam smoothly. Now we have good news for you: our Artificial-Intelligence-Foundation study materials will solve all your worries and help you successfully pass it. With the high pass rate as 98% to 100%, you will find that we have the best Foundation Certification Artificial Intelligence Artificial-Intelligence-Foundation learning braindumps which contain the most accurate real exam questions.

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.

The APMG-International Artificial-Intelligence-Foundation Certification Exam is an entry-level certification that provides individuals with the necessary skills and knowledge to understand the basic principles of artificial intelligence. The exam is ideal for individuals who are looking to start a career in the field of artificial intelligence or individuals who are interested in understanding how artificial intelligence can be used in their respective industries. The certification exam is recognized globally and is designed to provide individuals with a competitive edge in the job market. With the growing demand for artificial intelligence professionals, the APMG-International Artificial-Intelligence-Foundation Certification Exam is an excellent opportunity for individuals to enhance their skills and knowledge in the field.

APMG-International Foundation Certification Artificial Intelligence Sample Questions (Q30-Q35):

NEW QUESTION # 30
A human manipulates what using their intelligence?

  • A. Space
  • B. Environment
  • C. Mission
  • D. Objective

Answer: B

Explanation:
Explanation
Humans use their intelligence to manipulate their environment in order to achieve their objectives and complete their mission. This can involve a wide range of activities, such as building tools, constructing shelters, and creating strategies to solve problems. 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 # 31
An intelligent robot uses Al to do what?

  • A. Sense, plan and act
  • B. Plan, act and speak.
  • C. Perceive, plan and act.
  • D. Sense, plan and move.

Answer: C

Explanation:
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.


NEW QUESTION # 32
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.

Answer: B

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 # 33
What does TRL stand for?

  • A. Transform Reinforced Learning
  • B. Technology Readiness Level.
  • C. Technical Robotic Level.
  • D. Transport Ready Level.

Answer: B

Explanation:
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


NEW QUESTION # 34
In Machine learning what are a brain's axons called?

  • A. Edges
  • B. Dendrites
  • C. Nodes
  • D. Tetrahedra.

Answer: C

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 # 35
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