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Passing Artificial-Intelligence-Foundation Score Feedback, Reli

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    The APMG-International Artificial-Intelligence-Foundation (Foundation Certification Artificial Intelligence) Certification Exam is designed for individuals who want to establish their knowledge and understanding of the basics of Artificial Intelligence. This certification exam is an excellent opportunity for professionals who are interested in AI and want to learn the fundamentals of AI, including its history, technology, application, and impact on businesses and society. The exam covers topics like Machine Learning, Natural Language Processing, Robotics, and Computer Vision.

    The APMG-International Artificial-Intelligence-Foundation Certification Exam covers a wide range of topics related to AI, including machine learning, natural language processing, computer vision, and robotics. The exam is designed to test the candidates' understanding of the fundamental principles, concepts, and techniques of AI. The exam consists of multiple choice questions and is administered online, making it convenient for candidates to take the exam from anywhere in the world.

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    The APMG-International Artificial-Intelligence-Foundation (Foundation Certification Artificial Intelligence) Exam is a globally recognized certification program designed to provide individuals with a comprehensive understanding of artificial intelligence (AI) concepts and principles. This exam is ideal for professionals who want to gain a deeper understanding of AI and its applications in various industries such as healthcare, finance, and technology. The exam is based on the APMG-International Artificial Intelligence syllabus, which covers a wide range of topics including machine learning, natural language processing, computer vision, and robotics.

    APMG-International Foundation Certification Artificial Intelligence Sample Questions (Q39-Q44):

    NEW QUESTION # 39
    What function is used in a Neural Network?

    • A. Trigonometric.
    • B. Statistical.
    • C. Linear.
    • 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 # 40
    Tensor flow is a typical open source what?

    • A. Agent based modelling application
    • B. Machine learning library.
    • C. Intelligent robot paradigm.
    • D. Cloud based AI 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 TensorFlow is an open source machine learning library created by Google. It is used for dataflow programming and is widely used for a variety of applications, including machine learning and deep learning.
    TensorFlow enables developers to build, train and deploy machine learning models easily and quickly. It has built-in support for a variety of deep learning frameworks, such as convolutional neural networks, recurrent neural networks, and autoencoders.
    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 # 41
    A human manipulates what using their intelligence?

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

    Answer: D

    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 # 42
    What term do computer scientists and economists use to describe how happy an agent is?

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

    Answer: B

    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 # 43
    Sustainability focuses on which three core areas?

    • A. Social, Entrepreneurial and Environmental.
    • B. Scientific, Environmental and Economic.
    • C. Social, Economic and Entrepreneurial.
    • D. Social, Economic and Environmental.

    Answer: D

    Explanation:
    Explanation
    The term sustainability is broadly used to indicate programs, initiatives and actions aimed at the preservation of a particular resource. However, it actually refers to four distinct areas: human, social, economic and environmental - known as the four pillars of sustainability.
    https://www.futurelearn.com/info/courses/sustainable-business/0/steps/78337#:~:text=However%2C%20it%20ac Sustainability focuses on these three core areas because they all have an impact on the environment and society. Social sustainability is concerned with the relationships between people and how to create a society that is equitable and fair for all members. Economic sustainability focuses on the creation of a viable economic system that provides for the needs of the present without compromising the ability of future generations to meet their own needs. Environmental sustainability focuses on protecting natural resources, ecosystems and habitats, and minimizing the impact of human activities on the environment.
    References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/ https://www


    NEW QUESTION # 44
    ......

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