[2022] Practice with these AIF dumps Certification Sample Questions [Q21-Q45]

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[2022] Practice with these AIF dumps Certification Sample Questions

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BCS AIF Exam Syllabus Topics:

Topic	Details
Topic 1	Describe a ‘learning from experience’ Agile approach to projects Describe the type of team members needed for an Agile project
Topic 2	List common open source machine learning functionality, software and hardware Relate intelligent robotics to intelligent agents
Topic 3	Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored Describe the difference between waterfall and agile projects
Topic 4	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 5	Describe agents in terms of performance measure, environment, actuators and sensors Recall the general definition of Human and Artificial Intelligence (AI)
Topic 6	List future directions of humans and machines working together Describe what are Ethics and Trustworthy AI, in particular
Topic 7	Demonstrate understanding of the risks of AI project Ethical and Sustainable Human and Artificial Intelligence
Topic 8	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

NO.21 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.

NO.22 An Al agent relies on its perceptual input. This is called the agent’s what?

Position

Environment

World

Percept

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

NO.23 An intelligent robot uses Al to do what?

Sense, plan and act

Plan, act and speak.

Perceive, plan and act.

Sense, plan and move.

NO.24 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

NO.25 The EU and United Nations have made designing for all individuals a core principle. What is this type of design called?

Core design

Universal design.

Biophilic design.

Utopic design.

https://universaldesign.ie/What-is-Universal-Design/

NO.26 What technique can be adopted when a weak learners hypothesis accuracy is only slightly better than 50%?

Over-fitting

Activation.

Iteration.

Boosting.

Weak Learner: Colloquially, a model that performs slightly better than a naive model.
More formally, the notion has been generalized to multi-class classification and has a different meaning beyond better than 50 percent accuracy.
For binary classification, it is well known that the exact requirement for weak learners is to be better than random guess. […] Notice that requiring base learners to be better than random guess is too weak for multi-class problems, yet requiring better than 50% accuracy is too stringent.
– Page 46, Ensemble Methods, 2012.
It is based on formal computational learning theory that proposes a class of learning methods that possess weakly learnability, meaning that they perform better than random guessing. Weak learnability is proposed as a simplification of the more desirable strong learnability, where a learnable achieved arbitrary good classification accuracy.
A weaker model of learnability, called weak learnability, drops the requirement that the learner be able to achieve arbitrarily high accuracy; a weak learning algorithm needs only output an hypothesis that performs slightly better (by an inverse polynomial) than random guessing.
– The Strength of Weak Learnability, 1990.
It is a useful concept as it is often used to describe the capabilities of contributing members of ensemble learning algorithms. For example, sometimes members of a bootstrap aggregation are referred to as weak learners as opposed to strong, at least in the colloquial meaning of the term.
More specifically, weak learners are the basis for the boosting class of ensemble learning algorithms.
The term boosting refers to a family of algorithms that are able to convert weak learners to strong learners.
https://machinelearningmastery.com/strong-learners-vs-weak-learners-for-ensemble-learning/

NO.27 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.

NO.28 What function is used in a Neural Network?

Linear.

Activation.

Statistical.

Trigonometric.

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.

NO.29 Which factor of a Waterfall’ approach is most likely to result in the failed delivery of an Al project?

Takes longer to deliver all functional requirements.

Discourages collaboration and cross boundary communication.

Takes longer to complete the design phase of the project.

Discourages revisiting and revising any prior phase once it is complete.

NO.30 Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?

Autonomous wheelchairs.

Automated blood sampling.

Autonomous vehicles.

Diagnostic image analysis

NO.31 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.

NO.32 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.

NO.33 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

NO.34 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

NO.35 A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?

An array with one dimension.

A two-dimensional array of scalars.

An array of complex numbers

A constant

NO.36 In the 1800’s the development of statistics led to___________theorem and is used in probabilistic inference.
(Select the missing word.)

Boltzmann’s

Kolmogorov’s

Bayes’

The central limit

NO.37 An agent based model is asimul-ationof autonomous agents (individual and collective). What can be used to
learn from the data generated by thesimul-ations?

Paraview.

Machine Learning.

Python.

A spreadsheet

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

NO.38 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?

NO.39 What term do computer scientists and economists use to describe how happy an agent is?

Index.

Warm.

Return

Utility.

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

NO.40 The Scrum Master is part of which team?

Software development team.

Data preparation team

Agile project team.

Management team

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

NO.41 Who was the pioneer of computer programming?

Dame Wendy Hall.

Karen Spark Jones.

Ada Lovelace.

Sophie Wilson

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

NO.42 Human-centric trustworthy Al must be…

quality assurance certified.

continually assessed and monitored.

financially sustainable.

tested by humans.

NO.43 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.

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

NO.44 In an Al project the domain expert is the person…

with technical and managerial oversight of the business plan

whomanages 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’

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[2022] Practice with these AIF dumps Certification Sample Questions [Q21-Q45]

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