APMG International ARTIFICIAL-INTELLIGENCE-FOUNDATION Online Practice Questions and Exam Preparation

APMG International ARTIFICIAL-INTELLIGENCE-FOUNDATION Online Questions & Answers

• Question 1:

  An agent based model is a simul-ation of autonomous agents (individual and collective). What can be used to learn from the data generated by the simul-ations?

  A. Paraview.
  B. Machine Learning.
  C. Python.
  D. A spreadsheet
  B. Machine Learning.

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  Explanation/Reference:

  An agent based model is a simulation of autonomous agents (individual and collective). Machine learning can be used to learn from the data generated by the simulations. Machine learning algorithms can analyze the data generated by

  simulations and identify patterns, which can then be used to help the agent make decisions and take actions.

  References:

  [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Simulation and Modelling", p.101-104.

  [2] APMG-International.com, "Foundations of Artificial Intelligence"

  [3] EXIN.com, "Foundations of Artificial Intelligence"

• Question 2:

  Professor David Chalmers described consciousness as having two questions. What were these?

  A. An easy one and a hard one.
  B. What is the sub conscious and what is the conscious?
  C. Can we integrate our knowledge to form consciousness and can we simulate consciousness?
  D. Are only humans conscious and are machines always unconscious?
  B. What is the sub conscious and what is the conscious?

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  Explanation/Reference:

  Professor David Chalmers described consciousness as having two questions: "What is it like to be conscious?" and "Can machines be conscious?". The first question, "What is it like to be conscious?", is an attempt to understand what it is like to experience the subjective aspects of consciousness, such as feeling, emotion, and perception. The second question, "Can machines be conscious?", is an attempt to understand whether or not machines can have the same kinds of subjective experiences as humans. For more information, please see the BCS Foundation Certificate In Artificial Intelligence Study Guide or the resources listed above.

• Question 3:

  What function is used in a Neural Network?

  A. Linear.
  B. Activation.
  C. Statistical.
  D. Trigonometric.
  B. Activation.

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  Explanation/Reference:

  Activation Functions An activation function in a neural network defines how the weighted sum of the input is transformed into an output from a node or nodes in a layer of the network. https://machinelearningmastery.com/choose-an-activation-function-for-deeplearning/#:~:text=An%20activation%20function%20in%20a,a%20layer%20of%20the%20ne twork. An activation function is a mathematical function used in a neural network to determine the output of a neuron. Activation functions are used to transform the inputs into an output signal and can range from simple linear functions to complex non-linear functions. Activation functions are an important part of neural networks and help the network learn patterns and generalize data. Types of activation functions include sigmoid, ReLU, tanh, and softmax. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/

• Question 4:

  Sustainability focuses on which three core areas?

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

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  Explanation/Reference:

  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%20actually%20refers%20to,the%20fo ur%20pillars%20of%20sustainability.andtext=Human%20sustainability%20aims%20to%20m

  aintain%20and%20improve%20the%20human%20capital%20in%20society. 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.apmg-international.com/en-gb/courses/sustainability/sustainability-foundation-and-certification/

• Question 5:

  In the 1800's the development of statistics led to___________theorem and is used in probabilistic inference. (Select the missing word.)

  A. Boltzmann's
  B. Kolmogorov's
  C. Bayes'
  D. The central limit
  C. Bayes'

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  Explanation/Reference:

  The development of statistics in the 1800s led to the development of the Bayes' theorem, named after Reverend Thomas Bayes. This theorem is used in probabilistic inference, which is the process of using data to calculate the likelihood of a

  hypothesis or outcome. The theorem is used for determining the probability of an event occurring given its prior probability, as well as its associated conditions. The Bayes' theorem is also used in a variety of fields, such as machine learning,

  artificial intelligence, economics, and medical research. Sources:

  BCS Foundation Certificate In Artificial Intelligence Study Guide: https://www.bcs.org/category/18071

  APMG International: https://www.apmg-international.com/en/qualifications/qualification-resources/bcs-foundation-certificate-in-artificial-intelligence/

  EXIN: https://www.exin.com/en/certification/bcs-foundation-certificate-in-artificial- intelligence

• Question 6:

  Tensor flow is a typical open source what?

  A. Cloud based AI application.
  B. Intelligent robot paradigm.
  C. Machine learning library.
  D. Agent based modelling application
  C. Machine learning library.

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  Explanation/Reference:

  TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build

  and deploy ML powered applications.

  https://www.tensorflow.org/#:~:text=TensorFlow%20is%20an%20end%2Dto,and%20deplo y%20ML%20powered%20applications.

  TensorFlow is an open source machine learning library created by Google. It is used for dataflow programming and is widely used for a variety of applications, including machine learning and deep learning. TensorFlow enables developers to

  build, train and deploy machine learning models easily and quickly. It has built-in support for a variety of deep learning frameworks, such as convolutional neural networks, recurrent neural networks, and autoencoders.

  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).

• Question 7:

  What does Prof David Chalmers describe the hard consciousness problem to be as comples as?

  A. Psychology.
  B. Turbulence.
  C. Quantum mechanics.
  D. The universe.
  D. The universe.

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  Explanation/Reference:

  Prof David Chalmers describes the hard consciousness problem to be as complex as the universe. He argues that understanding consciousness is as hard as understanding the universe itself, due to the number of variables and dimensions

  involved. He has compared the complexity of the problem to that of turbulence, quantum mechanics, and psychology, but believes that the problem of consciousness is even more complex than all of these.

  References:

  [1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf

  [2] https://www.apmg-international.com/en/qualifications-and-certifications/bc-foundation-certificate-in-artificial-intelligence/

  [3] https://www.exin.com/en/certifications/bc-foundation-certificate-in-artificial-intelligence/

  [4] David J. Chalmers, "The Hard Problem of Consciousness", in J. Shear (ed.), Explaining Consciousness: The "Hard Problem", MIT Press, 1997.

• Question 8:

  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.
  B. Automation

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  Explanation/Reference:

  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.apmg-international.com/en-gb/courses/fourth-industrial-revolution/fourth-industrial-revolution-foundation-and-certification/

• Question 9:

  Which of the following is an advantage of a machine based system?

  A. Able to judge ambiguous and unknown situations.
  B. Capable of sympathising with humans.
  C. Undertakes monotonous tasks reliably and accurately.
  D. Can explain the output of an Al system
  C. Undertakes monotonous tasks reliably and accurately.

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  Explanation/Reference:

  One of the main advantages of a machine-based system is its ability to reliably and accurately undertake monotonous and repetitive tasks. This is especially useful for tasks that require a high level of accuracy and precision, such as data

  entry or analysis. Machine-based systems are also able to process large amounts of data quickly, meaning that they are able to complete tasks more quickly and efficiently than humans. Additionally, machine-based systems can be

  programmed to take certain decisions and actions based on the input data, allowing them to automate certain processes without the need for human intervention.

  References:

  BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI Systems, Chapter 8. https://www.apmg-international.com/en/al-adoption/advantages-of-al/

• Question 10:

  The Scrum Master is part of which team?

  A. Software development team.
  B. Data preparation team
  C. Agile project team.
  D. Management team
  C. Agile project team.

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  Explanation/Reference:

  https://www.techtarget.com/whatis/definition/scrum- master#:~:text=A%20Scrum%20Master%20is%20a,in%20accordance%20with%20Agile% 20principles.

  The Scrum Master is part of the agile project team, and is responsible for ensuring that the team is following the Scrum process. The Scrum Master is the facilitator of the team, ensuring that the team is working together and following the

  Scrum principles. They are also responsible for protecting the team from any external influences and helping resolve any issues that may arise.

  References:

  [1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf

  [2] https://www.apmg-international.com/en/qualifications-and-certifications/bc-foundation-certificate-in-artificial-intelligence/

  [3] https://www.exin.com/en/certifications/bc-foundation-certificate-in-artificial-intelligence/

  [4] https://www.scrumguides.org/scrum-guide.html