AIF Practice Test Questions Answers Updated 42 Questions [Q12-Q32]

AIF Practice Test Questions Answers Updated 42 Questions [Q12-Q32]

October 18, 2023 latestexam 0 Comments

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AIF Practice Test Questions Answers Updated 42 Questions

AIF dumps & Artificial intelligence (AI) Sure Practice with 42 Questions

BCS AIF certification exam is designed to be accessible to individuals with a basic understanding of computer science and mathematics. AIF exam covers a wide range of topics, including AI applications, machine learning algorithms, neural networks, and natural language processing. AIF exam is designed to assess the candidate’s ability to apply their knowledge of AI concepts and techniques to solve real-world problems.

Q12. An agent based model is a simul-ation of autonomous agents (individual and collective). What can be used to learn from the data generated by the simul-ations?

Paraview.

Machine Learning.

Python.

A spreadsheet

Explanation
An agent based model is a simulation of autonomous agents (individual and collective). Machine learning can be used to learn from the data generated by the simulations. Machine learning algorithms can analyze the data generated by simulations and identify patterns, which can then be used to help the agent make decisions and take actions. References:
[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, “Simulation and Modelling”, p.101-104.
[2] APMG-International.com, “Foundations of Artificial Intelligence” [3] EXIN.com, “Foundations of Artificial Intelligence”

Q13. In an Al project the domain expert is the person…

with technical and managerial oversight of the business plan

who manages the agile project and writes the technical terms of reference

who measures the trustworthiness of the Al system

with special knowledge or skills in the area of endeavour and defines what is fit for purpose’

Q14. Professor David Chalmers described consciousness as having two questions. What were these?

An easy one and a hard one.

What is the sub conscious and what is the conscious?

Can we integrate our knowledge to form consciousness and can we simulate consciousness?

Are only humans conscious and are machines always unconscious?

Q15. Which of the following is an advantage of a machine based system?

Able to judge ambiguous and unknown situations.

Capable of sympathising with humans.

Undertakes monotonous tasks reliably and accurately.

Can explain the output of an Al system

Q16. Para View allows large data sets to be visualised on a parallel computer.
Which of the following is one of the techniques used?

Norm calculation.

Dashboard.

Contour plot

Eigen function analysis.

Q17. What is one of the MAIN contributions of Al to the rapid development of The Fourth Industrial Revolution?

Enhanced design.

Automation

Big Data

Al personal assistants.

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

Q18. Reflex and Model-based Reflex are two types of what?

Robot

Artificial intelligent agents.

Algorithms.

Compilers.

Q19. Tensor flow is a typical open source what?

Cloud based AI application.

Intelligent robot paradigm.

Machine learning library.

Agent based modelling application

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.

Q20. What is an intelligent robot?

A robot that has consciousness

A robot that acts like a human.

A robot that uses Al techniques.

A robot that takes the place of a human.

Q21. A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?

An array with onedimension.

A two-dimensional array of scalars.

An array of complex numbers

A constant

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, “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/

Q22. What function is used in a Neural Network?

Linear.

Activation.

Statistical.

Trigonometric.

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/

Q23. With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?

Batch learning.

Big Data learning.

Patchwork learning.

Online learning.

Explanation

Online learning is a type of machine learning that can be used when a large dataset is limited in computational resources or if the data is frequently changing. It allows the system to learn from new data as it is being presented, rather than having to re-train the entire dataset each time new data is added. This makes it more efficient and effective than batch learning, as it only needs to process the new data and not the entire dataset.
Online learning is often used in applications such as fraud detection, where new data is constantly being added and needs to be analyzed quickly.
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).

Q24. Who was the pioneer of computer programming?

Dame Wendy Hall.

Karen Spark Jones.

Ada Lovelace.

Sophie Wilson

https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers

Q25. Reflex andModel-based Reflex are two types of what?

Robot

Artificial intelligent agents.

Algorithms.

Compilers.

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.

Q26. How could machine learning make a robot autonomous?

Use OCR, optical character recognition, to read documents

Use NLP (Natural Language Processing) to listen

Use actuators to modify its environment

Learn from sensor data and plan to carry out a task.

https://arxiv.org/pdf/1803.10813

Q27. From the Ell’s ethics guidelines for Al, what does ‘The Principle of Autonomy,’ mean?

Robots will have freewill.

Al agents will behave as humans.

Al systems will be human-centric

Al systems will preserve human agency.

Q28. An agent based model is a simul-ation of autonomous agents (individual and collective). What can be used to learn from the data generated by the simul-ations?

Paraview.

Machine Learning.

Python.

A spreadsheet

https://www.pnas.org/doi/10.1073/pnas.082080899

Q29. An intelligent robot uses Al to do what?

Sense, plan and act

Plan, act and speak.

Perceive, plan and act.

Sense, plan and move.

Explanation
An intelligent robot uses Artificial Intelligence (AI) to perceive its environment, plan its actions and then act on them. This is sometimes referred to as the “sense, plan, act” cycle, and is at the heart of what makes a robot intelligent. By using AI, robots can sense their environment, plan their actions accordingly and then act on them in order to complete their tasks.
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.

Q30. Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?

Conscioussimul-ation.

Artificial General Al.

Conscious integration.

NLP – Natural Language Processing.

Q31. Professor David Chalmers described consciousness as having two questions. What were these?

An easy one and a hard one.

What is the sub conscious and what is the conscious?

Can we integrate our knowledge to form consciousness and can we simulate consciousness?

Are only humans conscious and are machines always unconscious?

Explanation
Professor David Chalmers described consciousness as having two questions: “What is it like to be conscious?” and “Can machines be conscious?”. The first question, “What is it like to be conscious?”, is an attempt to understand what it is like to experience the subjective aspects of consciousness, such as feeling, emotion, and perception. The second question, “Can machines be conscious?”, is an attempt to understand whether or not machines can have the same kinds of subjective experiences as humans. For more information, please see the BCS Foundation Certificate In Artificial Intelligence Study Guide or the resources listed above.

Q32. In Machine learning what are a brain’s axons called?

Dendrites

Edges

Tetrahedra.

Nodes

Loading …

BCS Foundation Certificate in Artificial Intelligence (AIF) is a certification exam that is designed to provide individuals with a comprehensive understanding of the fundamentals of artificial intelligence (AI) and its application in the industry. AIF exam is developed by the British Computer Society (BCS), which is a professional body for IT professionals in the UK. BCS Foundation Certificate In Artificial Intelligence certification exam is aimed at individuals who are looking to enhance their knowledge and expertise in AI, including professionals who are involved in developing, implementing, and managing AI systems.

New AIF Exam Questions| Real AIF Dumps: https://www.latestcram.com/AIF-exam-cram-questions.html

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