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BCS AIF Exam Syllabus Topics:

Topic	Details
Topic 1	Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals General examples of the limitations of AI systems compared to human systems
Topic 2	List common open source machine learning functionality, software and hardware Relate intelligent robotics to intelligent agents
Topic 3	Applying the benefits of AI - challenges and risks Describe the challenges of Artificial Intelligence
Topic 4	Demonstrate understanding of the risks of AI project Ethical and Sustainable Human and Artificial Intelligence
Topic 5	Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust Recall the general definition of Ethics
Topic 6	Demonstrate understanding of the AI intelligent agent description Starting AI how to build a Machine Learning Toolbox - Theory and Practice
Topic 7	Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality The Management, Roles and Responsibilities of humans and machines
Topic 8	Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored Describe the difference between waterfall and agile projects
Topic 9	Describe four types of agent: reflex, model-based reflex, goal-based and utility-based Explain the benefits of Artificial Intelligence
Topic 10	Describe agents in terms of performance measure, environment, actuators and sensors Recall the general definition of Human and Artificial Intelligence (AI)
Topic 11	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 12	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 13	List future directions of humans and machines working together Describe what are Ethics and Trustworthy AI, in particular
Topic 14	Describe a ‘learning from experience’ Agile approach to projects Describe the type of team members needed for an Agile project

BCS Foundation Certificate In Artificial Intelligence Sample Questions (Q17-Q22):

NEW QUESTION # 17
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?

• A. NLP - Natural LanguageProcessing.
• B. Artificial General Al.
• C. Conscious simul-ation.
• D. Conscious integration.

Answer: A Explanation:
Explanation
NLP - Natural Language Processing is an example of narrow AI. It is a type of AI system that is able to understand, interpret, and generate natural language. NLP has become increasingly popular over the past few years, as it has been used to create applications such as chatbots, virtual assistants, and search engines. NLP systems are able to learn language and the context in which it is used, and they are able to understand the nuances of language and its different meanings. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/
NEW QUESTION # 18
Who was the pioneer of computer programming?

• A. Ada Lovelace.
• B. Dame Wendy Hall.
• C. Karen Spark Jones.
• D. Sophie Wilson

Answer: A Explanation:
Explanation
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
Ada Lovelace was an English mathematician and writer who is widely credited as the pioneer of computer programming. In 1842, she wrote an article in which she outlined the fundamental principles of computing, making her the first person to recognize the potential of computers and to describe algorithms that could be used to program them. Her work laid the basis for modern computing and is recognized as one of the most significant contributions to the field of computing.
References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/
NEW QUESTION # 19
Para View allows large data sets to be visualised on a parallel computer.
Which of the following is one of the techniques used?

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

Answer: D 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 # 20
What function is used in a Neural Network?

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

Answer: B 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%20function%20in%20a,a%20layer%20of%20the%20network.
NEW QUESTION # 21
An intelligent robot uses Al to do what?

• A. Sense, plan and move.
• B. Sense, plan and act
• C. Plan, act and speak.
• D. Perceive, plan and act.

Answer: B
NEW QUESTION # 22
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