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BCS AIF Exam Syllabus Topics:

TopicDetails
Topic 1
  • Describe a ‘learning from experience’ Agile approach to projects
  • Describe the type of team members needed for an Agile project
Topic 2
  • Describe agents in terms of performance measure, environment, actuators and sensors
  • Recall the general definition of Human and Artificial Intelligence (AI)
Topic 3
  • Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality
  • The Management, Roles and Responsibilities of humans and machines
Topic 4
  • List future directions of humans and machines working together
  • Describe what are Ethics and Trustworthy AI, in particular
Topic 5
  • Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust
  • Recall the general definition of Ethics
Topic 6
  • Understand that ML is a significant contribution to the growth of Artificial Intelligence
  • Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution
Topic 7
  • Demonstrate understanding of the AI intelligent agent description
  • Starting AI how to build a Machine Learning Toolbox - Theory and Practice
Topic 8
  • Describe how we learn from data – functionality, software and hardware
  • Identify the relationship of AI agents with Machine Learning (ML)
Topic 9
  • Identify a typical funding source for AI projects and relate to the NASA Technology Readiness Levels (TRLs)
  • Describe a modern approach to Human logical levels of thinking using Robert Dilt’s Model

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BCS Foundation Certificate In Artificial Intelligence Sample Questions (Q41-Q46):

NEW QUESTION # 41
The EU and United Nations have made designing for all individuals a core principle. What is this type of design called?

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

Answer: D

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


NEW QUESTION # 42
Which of the following is an example of fitting a curve to a set of data?

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

Answer: B


NEW QUESTION # 43
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 # 44
What term do computer scientists and economists use to describe how happy an agent is?

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

Answer: A

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


NEW QUESTION # 45
With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?

  • A. Online learning.
  • B. Batch learning.
  • C. Big Data learning.
  • D. Patchwork learning.

Answer: B

Explanation:
AIF-99a92aa273922139aeb0e9de6b342216.jpg


NEW QUESTION # 46
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