Free BCS Foundation Certificate In Artificial Intelligence Exam AIF Exam Practice Test

Who was the pioneer of computer programming?

• Dame Wendy Hall.
• Karen Spark Jones.
• Ada Lovelace.
• Sophie Wilson

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

• Conscious simul-ation.
• Artificial General Al.
• Conscious integration.
• NLP - Natural Language Processing.

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.

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.

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.

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

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'

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.

What technique can be adopted when a weak learners hypothesis accuracy is only slightly better than 50%?

• Over-fitting
• Activation.
• Iteration.
• Boosting.

Splitting data into Training and Test data sets is part of what?

• Machine learning data preparation.
• Batch learning.
• Machine learning post processing.
• High performance computing strategy.