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Here are sample BCS Foundation Certificate In Artificial Intelligence (AIF) Exam questions from real exam. You can get more BCS AI (AIF) Exam premium practice questions at TestInsights.

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Question 1

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


Correct : D

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:

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

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


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Question 2

Which factor of a Waterfall' approach is most likely to result in the failed delivery of an Al project?


Correct : D

The Waterfall approach is a sequential design process in which each phase of development must be completed before the next phase can begin. This means that once a phase is complete, it is difficult to go back and make changes, as any changes made to the project could potentially affect all the other phases. As a result, the Waterfall approach can make it difficult to adapt to changing customer requirements or adjust to new technology. This can ultimately lead to the failed delivery of an AI project.

References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 19 [2] APMG International, ''What is a Waterfall Model?'',https://apmg-international.com/en/blog/what-is-a-waterfall-model/[3] EXIN, ''What is the Waterfall Model?'',https://www.exin.com/blog/what-is-the-waterfall-model/


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Question 3

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

What is a vector in computer programming?


Correct : A

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, ''What is a Vector in Computer Programming?'',https://apmg-international.com/en/blog/what-is-a-vector-in-computer-programming/[3] EXIN, ''What is a Vector in Computer Programming?'',https://www.exin.com/blog/what-is-a-vector-in-computer-programming/


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Question 4

Para View allows large data sets to be visualised on a parallel computer.

Which of the following is one of the techniques used?


Correct : C

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/


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Question 5

What function is used in a Neural Network?


Correct : B

Activation Functions

Anactivation functionin 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.

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/


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