Get Certified Easily with Online Artificial Intelligence Foundation Dumps

Using Foundation Certification Artificial Intelligence Artificial Intelligence Foundation questions can help you build confidence as you prepare for the exam. By practicing with these Artificial Intelligence Foundation dumps questions, you will be better prepared and more confident when you take the actual exam. Besides, Artificial Intelligence Foundation exam dumps questions cover a wide range of topics that are relevant to the certification exam. By using Artificial Intelligence Foundation dumps questions, you will be able to ensure that you have a comprehensive understanding of the material covered on the exam. Practice free BCS Artificial Intelligence Foundation exam dumps below.

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1. Tensor flow is a typical open source what?

Cloud based AI application.

Intelligent robot paradigm.

Machine learning library.

Agent based modelling application

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2. 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'

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3. Ensemble learning methods do what with the hypothesis space?

Select a combination of hypothesis to combine their predictions

Use stochastic gradient descent to optimise a network.

Extract ergodic solutions.

Test multiple hypotheses simultaneously.

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4. An Al agent relies on its perceptual input. This is called the agent's what?

Position

Environment

World

Percept

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5. 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.

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6. Collaboration, learning and iterative are terms used to describe what?

Waterfall projects.

Rapid software development.

Trustworthy Al.

Agile projects

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7. What is defined as a machine that can carry out a complex series of tasks automatically?

A robot

A production line.

A computer.

An autonomous vehicle.

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8. An intelligent robot uses Al to do what?

Sense, plan and act

Plan, act and speak.

Perceive, plan and act.

Sense, plan and move.

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9. Which of the following is an example of fitting a curve to a set of data?

Python.

Least squares regression.

Bayesian network.

Backward propagation.

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10. What function is used in a Neural Network?

Linear.

Activation.

Statistical.

Trigonometric.

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11. What does TRL stand for?

Technical Robotic Level.

Transform Reinforced Learning

Technology Readiness Level.

Transport Ready Level.

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12. The EU's Ethical Guidelines use what to demonstrate trustworthy Al?

A quality assurance plan.

UN's sustainability goals.

Customer feedback.

A human-centric value system.

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