Quickly and Easily Pass BCS Exam with AIF real Dumps Updated on Nov-2022 [Q14-Q38]

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Quickly and Easily Pass BCS Exam with AIF real Dumps Updated on Nov-2022

Realistic AIF Dumps Questions To Gain Brilliant Result


BCS AIF Exam Syllabus Topics:

TopicDetails
Topic 1
  • Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals
  • General examples of the limitations of AI systems compared to human systems
Topic 2
  • Describe four types of agent: reflex, model-based reflex, goal-based and utility-based
  • Explain the benefits of Artificial Intelligence
Topic 3
  • Demonstrate understanding of the AI intelligent agent description
  • Starting AI how to build a Machine Learning Toolbox - Theory and Practice
Topic 4
  • Describe how we learn from data – functionality, software and hardware
  • Identify the relationship of AI agents with Machine Learning (ML)
Topic 5
  • Describe agents in terms of performance measure, environment, actuators and sensors
  • Recall the general definition of Human and Artificial Intelligence (AI)
Topic 6
  • Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored
  • Describe the difference between waterfall and agile projects
Topic 7
  • List common open source machine learning functionality, software and hardware
  • Relate intelligent robotics to intelligent agents
Topic 8
  • List future directions of humans and machines working together
  • Describe what are Ethics and Trustworthy AI, in particular
Topic 9
  • Applying the benefits of AI - challenges and risks
  • Describe the challenges of Artificial Intelligence
Topic 10
  • Understand that ML is a significant contribution to the growth of Artificial Intelligence
  • Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution
Topic 11
  • Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality
  • The Management, Roles and Responsibilities of humans and machines

 

NEW QUESTION 14
An intelligent robot uses Al to do what?

  • A. Plan, act and speak.
  • B. Perceive, plan and act.
  • C. Sense, plan and move.
  • D. Sense, plan and act

Answer: D

 

NEW QUESTION 15
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?

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

Answer: B

 

NEW QUESTION 16
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?

  • A. Higher value work.
  • B. Leisure activities
  • C. Sabotage the Al.
  • D. Change jobs.

Answer: D

 

NEW QUESTION 17
Ensemble learning methods do what with the hypothesis space?

  • A. Test multiple hypotheses simultaneously.
  • B. Extract ergodic solutions.
  • C. Use stochastic gradient descent to optimise a network.
  • D. Select a combination of hypothesis to combine their predictions

Answer: D

Explanation:
Explanation
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20comb

 

NEW QUESTION 18
Professor David Chalmers described consciousness as having two questions. What were these?

  • A. An easy one and a hard one.
  • B. Can we integrate our knowledge to form consciousness and can we simulate consciousness?
  • C. Are only humans conscious and are machines always unconscious?
  • D. What is the sub conscious and what is the conscious?

Answer: B

 

NEW QUESTION 19
Who was the pioneer of computer programming?

  • A. Dame Wendy Hall.
  • B. Karen Spark Jones.
  • C. Sophie Wilson
  • D. Ada Lovelace.

Answer: D

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

 

NEW QUESTION 20
What does Prof David Chalmers describe the hard consciousness problem to be as comples as?

  • A. Turbulence.
  • B. Quantum mechanics.
  • C. Psychology.
  • D. The universe.

Answer: C

 

NEW QUESTION 21
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 deliver all functional requirements.
  • D. Takes longer to complete the design phase of the project.

Answer: D

 

NEW QUESTION 22
An Al agentrelies on its perceptual input.This is called the agent's what?

  • A. Environment
  • B. Percept
  • C. World
  • D. Position

Answer: B

Explanation:
Explanation
* 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.
Agent Terminology
https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_agents_and_environments.htm

 

NEW QUESTION 23
A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?

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

Answer: A

 

NEW QUESTION 24
What function is used in a Neural Network?

  • A. Statistical.
  • B. Activation.
  • C. Trigonometric.
  • D. Linear.

Answer: B

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%20function%20in%20a,a%20layer%20of%20the%20network.

 

NEW QUESTION 25
What term do computer scientists and economists use to describe how happy an agent is?

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

Answer: A

Explanation:
https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds

 

NEW QUESTION 26
Professor David Chalmers described consciousness as having two questions. What were these?

  • A. An easy one and a hard one.
  • B. Are only humans conscious and are machines always unconscious?
  • 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: B

 

NEW QUESTION 27
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?

  • A. Machine Learning.
  • B. Python.
  • C. A spreadsheet
  • D. Paraview.

Answer: C

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

 

NEW QUESTION 28
Sustainability focuses on which three core areas?

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

Answer: C

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%20actually%20refers%20to,the%20four%20pillars%20of%20sustainability.&text=Human%20sustainability%20aims%20to%20maintain%20and%20improve%20the%20human%20capital%20in%20society.

 

NEW QUESTION 29
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: C

 

NEW QUESTION 30
How could machine learning make a robot autonomous?

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

Answer: C

Explanation:
Explanation
https://arxiv.org/pdf/1803.10813

 

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. Kolmogorov's
  • B. The central limit
  • C. Bayes'
  • D. Boltzmann's

Answer: A

 

NEW QUESTION 32
Tensor flow is a typical open source what?

  • A. Machine learning library.
  • B. Cloud based AI application.
  • C. Agent based modelling application
  • D. Intelligent robot paradigm.

Answer: A

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 33
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. A paradigm.
  • C. An algorithm.
  • D. An approach.

Answer: B

 

NEW QUESTION 34
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: C

Explanation:
Explanation
https://research.com/careers/what-is-the-fourth-industrial-revolution

 

NEW QUESTION 35
What is defined as a machine that can carry out a complex series of tasks automatically?

  • A. A production line.
  • B. A computer.
  • C. A robot
  • D. An autonomous vehicle.

Answer: C

Explanation:
Explanation
https://en.wikipedia.org/wiki/Robot#:~:text=A%20robot%20is%20a%20machine,control%20may%20be%20em

 

NEW QUESTION 36
Which of the following is an example of fitting a curve to a set of data?

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

Answer: A

 

NEW QUESTION 37
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?

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

Answer: D

 

NEW QUESTION 38
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