[Mar 02, 2023] Fast Exam Updates AIF dumps with PDF Test Engine Practice [Q21-Q44]

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[Mar 02, 2023] Fast Exam Updates AIF dumps with PDF Test Engine Practice

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NEW QUESTION 21
From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean?

  • A. Al agents will behave as humans.
  • B. Robots will havefreewill.
  • C. Al systems will be human-centric
  • D. Al systems will preserve human agency.

Answer: D

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
How could machine learningmake a robot autonomous?

  • A. Use actuators to modify its environment
  • B. Use OCR, optical character recognition, to read documents
  • C. Learn from sensor data and plan to carry out a task.
  • D. Use NLP (Natural Language Processing) to listen

Answer: C

Explanation:
Explanation
Machine learning can be used to make robots autonomous by allowing them to learn from sensor data and plan how to carry out a task. This involves using algorithms to analyze data from sensors and use this data to make decisions and take actions. By using machine learning, robots can learn from their environment and become more autonomous. References:
[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Robotics", p.98. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"

 

NEW QUESTION 23
The Scrum Master is part of which team?

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

Answer: C

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

 

NEW QUESTION 24
Which factor of a Waterfall' approach is most likely to result in the failed delivery of an Al project?

  • A. Takes longer to complete the design phase of the project.
  • B. Discourages collaboration and cross boundary communication.
  • C. Takes longer to deliver all functional requirements.
  • D. Discourages revisiting and revising any prior phase once it is complete.

Answer: A

 

NEW QUESTION 25
What is defined as a machine that can carry out a complex series of tasks automatically?

  • A. A production line.
  • B. A computer.
  • C. An autonomous vehicle.
  • D. A robot

Answer: D

Explanation:
https://en.wikipedia.org/wiki/Robot#:~:text=A%20robot%20is%20a%20machine,control%20may%20be%20embedded%20within.

 

NEW QUESTION 26
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. Utopic design.
  • C. Biophilic design.
  • D. Universal design.

Answer: D

Explanation:
Explanation
https://universaldesign.ie/What-is-Universal-Design/

 

NEW QUESTION 27
A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?

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

Answer: D

Explanation:
Explanation
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/

 

NEW QUESTION 28
Ensemble learning methods do what with the hypothesis space?

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

Answer: D

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 29
How could machine learning make a robot autonomous?

  • A. Use NLP (Natural Language Processing) to listen
  • B. Use actuators to modify its environment
  • C. Learn from sensor data and plan to carry out a task.
  • D. Use OCR, optical character recognition, to read documents

Answer: A

Explanation:
https://arxiv.org/pdf/1803.10813

 

NEW QUESTION 30
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?

  • A. A human-centric value system.
  • B. A quality assurance plan.
  • C. Customer feedback.
  • D. UN's sustainability goals.

Answer: A

Explanation:
Explanation
The European Union's Ethical Guidelines for Trustworthy AI use a human-centric value system to demonstrate that Artificial Intelligence (AI) is trustworthy. This value system is based on human rights, autonomy, safety, privacy, transparency, accountability and fairness. The guidelines also state that AI should be designed, developed and used in a manner that respects these values. References:
* https://ec.europa.eu/digital-single-market/en/news/ethical-guidelines-trustworthy-ai
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), A.I & Ethics, Chapter 5.

 

NEW QUESTION 31
In an Al project the domain expert is the person...

  • A. with special knowledge or skills in the area of endeavour and defines what is fit for purpose'
  • B. who measures the trustworthiness of the Al system
  • C. who manages the agile projectand writes the technical terms of reference
  • D. with technical and managerial oversight of the business plan

Answer: A

Explanation:
Explanation
In an AI project, a domain expert is a person with special knowledge or skills in that particular area of endeavour, and they are responsible for defining what is "fit for purpose" for the project. The domain expert provides insights into the problem and suggests ways to address it. They also provide guidance on evaluating and validating the AI system and its outputs. The domain expert is also responsible for communicating with stakeholders and providing feedback on the progress of the project. References:
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI & People, Chapter 12.
* https://www.apmg-international.com/en/al-adoption/domain-expert/

 

NEW QUESTION 32
Sustainability focuses on which three core areas?

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

Answer: D

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

 

NEW QUESTION 33
Collaboration, learning and iterative are terms used to describe what?

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

Answer: C

 

NEW QUESTION 34
What are monotonous and repetitive tasks, that require accuracy BEST suited to?

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

Answer: C

 

NEW QUESTION 35
What term do computer scientists and economists use to describe how happy an agent is?

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

Answer: D

Explanation:
Explanation
https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds

 

NEW QUESTION 36
A human manipulates what using their intelligence?

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

Answer: B

 

NEW QUESTION 37
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?

  • A. NLP - Natural Language Processing.
  • B. Conscioussimul-ation.
  • C. Conscious integration.
  • D. Artificial General Al.

Answer: A

 

NEW QUESTION 38
What is one of the MAIN contributions of Al to the rapid development of The Fourth Industrial Revolution?

  • A. Automation
  • B. Big Data
  • C. Al personal assistants.
  • D. Enhanced design.

Answer: B

Explanation:
Explanation
https://research.com/careers/what-is-the-fourth-industrial-revolution

 

NEW QUESTION 39
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. A spreadsheet
  • B. Python.
  • C. Paraview.
  • D. Machine Learning.

Answer: D

Explanation:
Explanation
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"

 

NEW QUESTION 40
Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?

  • A. Automated blood sampling.
  • B. Autonomous wheelchairs.
  • C. Autonomous vehicles.
  • D. Diagnostic image analysis

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 41
Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?

  • A. Automated blood sampling.
  • B. Autonomous wheelchairs.
  • C. Autonomous vehicles.
  • D. Diagnostic image analysis

Answer: D

 

NEW QUESTION 42
Para View allows large data sets to be visualised on a parallel computer.
Which of the following is one of the techniques used?

  • A. Contour plot
  • B. Eigen function analysis.
  • C. Norm calculation.
  • D. Dashboard.

Answer: A

Explanation:
Explanation
ParaView is an open-source, multi-platform visualization application that allows large data sets to be visualized on a parallel computer. ParaView uses a variety of techniques to visualize data, including contour plots, which are useful for visualizing 3D data sets. Contour plots are created by plotting a set of curves connecting points of equal value, with each curve representing a particular value. This allows 3D data sets to be visualized in a 2D format, making it easier to understand the data.
References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 19 [2] APMG International, "What is ParaView?", https://apmg-international.com/en/blog/what-is-paraview/ [3] EXIN,
"What is ParaView?", https://www.exin.com/blog/what-is-paraview/

 

NEW QUESTION 43
What does Prof David Chalmers describe the hard consciousness problem to be as comples as?

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

Answer: D

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

 

NEW QUESTION 44
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