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BCS AIF Exam Syllabus Topics:

TopicDetails
Topic 1
  • Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored
  • Describe the difference between waterfall and agile projects
Topic 2
  • Describe four types of agent: reflex, model-based reflex, goal-based and utility-based
  • Explain the benefits of Artificial Intelligence
Topic 3
  • Applying the benefits of AI - challenges and risks
  • Describe the challenges of Artificial Intelligence
Topic 4
  • Describe agents in terms of performance measure, environment, actuators and sensors
  • Recall the general definition of Human and Artificial Intelligence (AI)
Topic 5
  • Describe how we learn from data – functionality, software and hardware
  • Identify the relationship of AI agents with Machine Learning (ML)
Topic 6
  • 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
Topic 7
  • List common open source machine learning functionality, software and hardware
  • Relate intelligent robotics to intelligent agents
Topic 8
  • Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust
  • Recall the general definition of Ethics

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100% Pass Quiz BCS - AIF - BCS Foundation Certificate In Artificial Intelligence Perfect Valid Examcollection

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The BCS AIF exam is a multiple-choice exam that consists of 40 questions. Candidates have 60 minutes to complete the exam, and a pass mark of 65% is required to obtain the certification. The exam is available globally, and candidates can take the exam at any Pearson VUE test center or online through remote proctoring.

BCS Foundation Certificate In Artificial Intelligence Sample Questions (Q30-Q35):

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

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

Answer: A

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

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

Answer: B

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 # 32
What term do computer scientists and economists use to describe how happy an agent is?

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

Answer: B

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


NEW QUESTION # 33
What function is used in a Neural Network?

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

Answer: A

Explanation:
Explanation
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-deep-learning/#:~:text=An%20activation


NEW QUESTION # 34
Tensor flow is a typical open source what?

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

Answer: B

Explanation:
Explanation
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%20deploy%20ML%20power


NEW QUESTION # 35
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