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

APMG International ARTIFICIAL-INTELLIGENCE-FOUNDATION Online Questions & Answers

• Question 31:

  What term do computer scientists and economists use to describe how happy an agent is?

  A. Index.
  B. Warm.
  C. Return
  D. Utility.
  D. Utility.

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  Explanation/Reference:

  https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008andcontext=ijds

  Computer scientists and economists use the term "utility" to describe how happy an agent is. Utility is a measure of satisfaction or preference, and it is used to evaluate an agent's satisfaction with a particular outcome. Utility can be used to

  determine the optimal decision or action for an agent to take in order to maximize its satisfaction.

  References:

  [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Decision Making and Planning", p.99-100.

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

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

• Question 32:

  Splitting data into Training and Test data sets is part of what?

  A. Machine learning data preparation.
  B. Batch learning.
  C. Machine learning post processing.
  D. High performance computing strategy.
  A. Machine learning data preparation.

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  Explanation/Reference:

  Splitting data into training and test data sets is an important step in the machine learning data preparation process. This process involves splitting the data into subsets, usually in a 70:30 ratio, to create a training set and a test set. The training set is used to train the machine learning model, while the test set is used to evaluate the model's performance. This process allows for the model to be tested and evaluated on data that it has not seen before, in order to ensure that it is accurate and able to generalize to new data. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/

• Question 33:

  The EU and United Nations have made designing for all individuals a core principle. What is this type of design called?

  A. Core design
  B. Universal design.
  C. Biophilic design.
  D. Utopic design.
  B. Universal design.

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  Explanation/Reference:

  https://universaldesign.ie/What-is-Universal-Design/ Universal design is a type of design that takes into account the needs of all individuals, regardless of age, ability, or physical condition. It is a principle that is embraced by the European

  Union and the United Nations, and it is based on the idea that products, services, and environments should be designed to be usable by the widest range of people possible. Universal design emphasizes accessibility, usability, and inclusivity,

  and it is often used to create products and services that are easy to use for people of all ages and abilities.

  References:

  https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/

  https://www.apmg-international.com/en-gb/courses/universal-design/universal-design-foundation-and-certification/

• Question 34:

  A vector in vector calculus is a quantity that has magnitude and direction.

  What is a vector in computer programming?

  A. An array with one dimension.
  B. A two-dimensional array of scalars.
  C. An array of complex numbers
  D. A constant
  A. An array with one dimension.

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  Explanation/Reference:

  In computer programming, a vector is a data structure that contains a collection of elements that are all of the same type. Each element in the vector has an associated index, which can be used to access and modify the element at that index.

  Vectors are commonly used to store collections of numerical values (e.g., integers or floating-point numbers) or strings, but they can also be used to store any type of data.

  References:

  [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 36

  [2] APMG International, "What is a Vector in Computer Programming?", https://apmg-international.com/en/blog/what-is-a-vector-in-computer-programming/

  [3] EXIN, "What is a Vector in Computer Programming?", https://www.exin.com/blog/what-is-a-vector-in-computer-programming/

• Question 35:

  What are monotonous and repetitive tasks, that require accuracy BEST suited to?

  A. Human plus machine.
  B. Machine.
  C. Human.
  D. Artificial General Intelligence.
  B. Machine.

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  Explanation/Reference:

  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

• Question 36:

  Which of the following is an example of fitting a curve to a set of data?

  A. Python.
  B. Least squares regression.
  C. Bayesian network.
  D. Backward propagation.
  B. Least squares regression.

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  Explanation/Reference:

  Least Squares Regression is a statistical technique used for fitting a curve to a set of data. It involves minimizing the sum of the squares of the differences between the observed data and the fitted curve. This is done by finding the line of best

  fit, which is the line that minimizes the sum of the squared residuals. The line of best fit is determined by finding the parameters that give the minimum sum of the squared residuals. This technique is often used in data science and machine

  learning to create models that can be used to make predictions.

  References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/

• Question 37:

  A human manipulates what using their intelligence?

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

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  Explanation/Reference:

  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.

• Question 38:

  Collaboration, learning and iterative are terms used to describe what?

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

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  Explanation/Reference:

  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.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

• Question 39:

  In Machine learning what are a brain's axons called?

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

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  Explanation/Reference:

  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).

• Question 40:

  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.
  C. Perceive, plan and act.

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  Explanation/Reference:

  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.