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            BCS



            BCS-AIF







            Aritificial Intellegence Foundation










            https://killexams.com/pass4sure/exam-detail/BCS-AIF



    Question: 114


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

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

    Answer: B


    Explanation:

    https://research.com/careers/what-is-the-fourth-industrial-revolution Artificial Intelligence (AI) is playing a major role
    in the rapid development of the Fourth Industrial Revolution. AI technologies are enabling the automation of many
    processes that were previously carried out by humans or machines, which has greatly increased the speed, efficiency,
    and accuracy of these processes. Automation is one of the main contributions of AI to the Fourth Industrial
    Revolution, as it has greatly increased the productivity of businesses and industries, while reducing the cost of
    production and improving the quality of products.


    References:

    https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/ https://www.apmg-
    international.com/en-gb/courses/fourth-industrial-revolution/fourth-industrial-revolution-foundation-and-certification/




    Question: 115


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

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

    Answer: D


    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:


    â https://ec.europa.eu/digital-single-market/en/news/ethical-guidelines-trustworthy-ai

    â BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), A.I & Ethics, Chapter 5.




    Question: 116


    Narrow or weak Al can be useful to robots.

    Which of the following is an example of narrow Al?


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

    Answer: D


    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/




    Question: 117


    In an Al project the domain expert is the person...

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


    Answer: D

    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:

    â BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI & People, Chapter 12.

    â https://www.apmg-international.com/en/al-adoption/domain-expert/




    Question: 118


    The Scrum Master is part of which team?




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

    Answer: C


    Explanation:

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

    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.com/en/qualifications-and-certifications/bc-foundation-certificate-in-artificial-
    intelligence/

    [3] https://www.exin.com/en/certifications/bc-foundation-certificate-in-artificial-intelligence/


    [4] https://www.scrumguides.org/scrum-guide.html




    Question: 119


    Which of the following is an example of fitting a curve to a set of data?

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


    Answer: B

    Explanation:

    Least Squares Regression is a statistical technique used for fitting a curve to a set of data. It involves minimizing the
    sum of the squares of the differences between the observed data and the fitted curve. This is done by finding the line of
    best fit, which is the line that minimizes the sum of the squared residuals. The line of best fit is determined by finding
    the parameters that give the minimum sum of the squared residuals. This technique is often used in data science and
    machine learning to create models that can be used to make predictions.

    References: BCS Foundation Certificate In Artificial Intelligence Study Guide,
    https://bcs.org/certifications/foundation-certificates/artificial-intelligence/




    Question: 119

    A human manipulates what using their intelligence?


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

    Answer: A


    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.





    Question: 120


    A vector in vector calculus is a quantity that has magnitude and direction.

    What is a vector in computer programming?

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

    Answer: A


    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, âWhat is a Vector in Computer Programming?â, https://apmg-
    international.com/en/blog/what-is-a-vector-in-computer-programming/

    [3] EXIN, âWhat is a Vector in Computer


    Programming?â, https://www.exin.com/blog/what-is-a-vector-in-computer-programming/





    Question: 121

    How could machine learning make a robot autonomous?


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

    Answer: D


    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"




    Question: 122


    Reflex and Model-based Reflex are two types of what?


    A. Robot
    B. Artificial intelligent agents.
    C. Algorithms.
    D. Compilers.

    Answer: B


    Explanation:

    Reflex and Model-based Reflex are two types of Artificial Intelligent Agents. Artificial Intelligent Agents are
    computer systems designed to act and think in a manner similar to humans, incorporating elements of problem solving,
    decision-making, communication, and learning. Reflex agents are reactive agents which act based on the current
    environment and conditions, while Model-based Reflex agents use a model of the environment to make decisions.

    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.








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