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BCS Foundation Certificate in Artificial Intelligence (AIF) is a certification exam that tests an individual's knowledge on the fundamental concepts, techniques, and applications of artificial intelligence (AI). BCS Foundation Certificate In Artificial Intelligence certification is offered by BCS, The Chartered Institute for IT, which is a professional body that provides accreditation for IT professionals in the UK and internationally. The BCS AIF exam is designed for individuals who want to gain a comprehensive understanding of AI and its potential applications in various industries.
BCS AIF (BCS Foundation Certificate In Artificial Intelligence) Exam is a certification exam that is designed to test the fundamental knowledge and understanding of Artificial Intelligence (AI) and its application in the real world. AIF exam is created by the British Computer Society (BCS), which is an internationally recognized professional body for IT professionals. The BCS AIF exam is aimed at individuals who are interested in developing their knowledge and skills in the field of AI, including IT professionals, software developers, data analysts, project managers, and business professionals.
NEW QUESTION # 19
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?
- A. UN's sustainability goals.
- B. Customer feedback.
- C. A quality assurance plan.
- D. A human-centric value system.
Answer: D
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 # 20
What is defined as a machine that can carry out a complex series of tasks automatically?
- A. An autonomous vehicle.
- B. Acomputer.
- C. A production line.
- D. A robot
Answer: B
Explanation:
Explanation
https://en.wikipedia.org/wiki/Robot#:~:text=A%20robot%20is%20a%20machine,control%20may%20be%20em
A computer is defined as a machine that can carry out a complex series of tasks automatically.
Computers are used in a variety of applications, including artificial intelligence (AI), robotics, production lines, and autonomous vehicles. Computers are able to carry out complex tasks thanks to their ability to process large amounts of data quickly and accurately.
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.
NEW QUESTION # 21
A human manipulates what using their intelligence?
- A. Environment
- B. Objective
- C. Space
- D. Mission
Answer: C
NEW QUESTION # 22
What is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a class of problems?
- A. A set
- B. An algorithm.
- C. A paradigm.
- D. An approach.
Answer: C
Explanation:
Explanation
A paradigm is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a class of problems. Paradigms are often used in Artificial Intelligence to provide a structure for problem solving, allowing for better understanding of the problem and providing a framework for developing a solution. For example, the logic-based approach is a paradigm that uses logical reasoning to solve problems.
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.
NEW QUESTION # 23
Ensemble learning methods do what with the hypothesis space?
- A. Test multiple hypotheses simultaneously.
- B. Select a combination of hypothesis to combine theirpredictions
- C. Extract ergodic solutions.
- D. Use stochastic gradient descent to optimise a network.
Answer: B
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 # 24
What function is used in a Neural Network?
- A. Statistical.
- B. Linear.
- C. Trigonometric.
- D. Activation.
Answer: D
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 An activation function is a mathematical function used in a neural network to determine the output of a neuron. Activation functions are used to transform the inputs into an output signal and can range from simple linear functions to complex non-linear functions. Activation functions are an important part of neural networks and help the network learn patterns and generalize data. Types of activation functions include sigmoid, ReLU, tanh, and softmax. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/
NEW QUESTION # 25
In Machine learning what are a brain's axons called?
- A. Dendrites
- B. Nodes
- C. Tetrahedra.
- D. Edges
Answer: B
Explanation:
Explanation
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).
NEW QUESTION # 26
Collaboration, learning and iterative are terms used to describe what?
- A. Rapid software development.
- B. Waterfall projects.
- C. Agile projects
- D. Trustworthy Al.
Answer: C
Explanation:
Explanation
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
NEW QUESTION # 27
Ensemble learning methods do what with the hypothesis space?
- A. Test multiple hypotheses simultaneously.
- B. Select a combination of hypothesis to combine their predictions
- C. Extract ergodic solutions.
- D. Use stochastic gradient descent to optimise a network.
Answer: B
Explanation:
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20combine%20them%20to%20use.
NEW QUESTION # 28
From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean?
- A. Robots will have freewill.
- B. Al agents will behave as humans.
- C. Al systems will be human-centric
- D. Al systems will preserve human agency.
Answer: C
NEW QUESTION # 29
Which factor of a Waterfall' approach is most likely to result in the failed delivery of an Al project?
- A. Discourages collaboration and cross boundary communication.
- B. Discourages revisiting and revising any prior phase once it is complete.
- C. Takes longer to complete the design phase of the project.
- D. Takes longer to deliver all functional requirements.
Answer: C
NEW QUESTION # 30
Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?
- A. Diagnostic image analysis
- B. Autonomous wheelchairs.
- C. Automated blood sampling.
- D. Autonomous vehicles.
Answer: A
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 # 31
In the 1800's the development of statistics led to___________theorem and is used in probabilistic inference.
(Select the missing word.)
- A. Bayes'
- B. Kolmogorov's
- C. Boltzmann's
- D. The central limit
Answer: B
NEW QUESTION # 32
In Machine learning what are a brain's axons called?
- A. Dendrites
- B. Nodes
- C. Tetrahedra.
- D. Edges
Answer: A
NEW QUESTION # 33
What term do computer scientists and economists use to describe how happy an agent is?
- A. Return
- B. Warm.
- C. Utility.
- D. Index.
Answer: C
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 # 34
Tensor flow is a typical open source what?
- A. Agent based modelling application
- B. Cloud based AI application.
- C. Intelligent robot paradigm.
- D. Machine learning library.
Answer: D
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%20powered%20applications.
NEW QUESTION # 35
Professor David Chalmers described consciousness as having two questions. What were these?
- A. Are only humans conscious and are machines always unconscious?
- B. An easy one and a hard one.
- C. Can we integrate our knowledge to form consciousness and can we simulate consciousness?
- D. What is the sub conscious and what is the conscious?
Answer: A
NEW QUESTION # 36
An Al agent relies on its perceptual input. This is called the agent's what?
- A. Environment
- B. Position
- C. World
- D. Percept
Answer: D
Explanation:
Agent Terminology
Performance Measure of Agent − It is the criteria, which determines how successful an agent is.
Behavior of Agent − It is the action that agent performs after any given sequence of percepts.
Percept − It is agent's perceptual inputs at a given instance.
Percept Sequence − It is the history of all that an agent has perceived till date.
Agent Function − It is a map from the precept sequence to an action.
https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_agents_and_environments.htm
NEW QUESTION # 37
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