Top quality BCS Foundation Certificate in Artificial Intelligence (AIF) Exam Questions presented by PassQuestion are a leading way for the preparation of the BCS Foundation Certificate in Artificial Intelligence exam. With the help of these BCS Foundation Certificate in Artificial Intelligence (AIF) Exam Questions, you will be able to clear your concepts and improve your preparation level so you can make things easier for yourself. It includes authentic AIF questions and answers which are really helpful in covering the all-important subjects and you can earn the BCS Foundation Certificate in Artificial Intelligence certification with good grades.  

BCS Foundation Certificate in Artificial Intelligence

The BCS Foundation Certificate in Artificial Intelligence tests a candidate's knowledge and understanding of the terminology and general principles of AI. This syllabus covers the potential benefits and challenges of Ethical and Sustainable Robust Artificial Intelligence; the basic process of Machine Learning (ML) – Building a Machine Learning Toolkit; the challenges and risks associated with an AI project, and the future of AI and Humans in work. The Foundation Certificate includes and expands on the knowledge taught in the BCS Essentials Certificate in AI. 

The Artificial Intelligence Foundation Certificate is focused on individuals with an interest in, (or need to implement) AI in an organisation, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services. 

Exam Information

• Type: 40 Multiple choice questions
• Duration: 60 Minutes
• Pre-requisites: None, but accredited training is highly recommended
• Supervised: Yes
• Open Book: No (no materials can be taken into the examination room)
• Pass Mark: 26/40
• Calculators: No
• Delivery Digital: only

Exam Objectives

• Ethical and Sustainable Human and Artificial Intelligence    20%
• Artificial Intelligence and Robotics  20% 
• Applying the benefits of AI - challenges and risks 15% 
• Starting AI how to build a Machine Learning Toolbox - Theory and Practice 30% 
• The Management, Roles and Responsibilities of humans and machines   15%

View Online BCS Foundation Certificate in Artificial Intelligence (AIF) Free Questions

What does TRL stand for?
A.Technical Robotic Level.
B.Transform Reinforced Learning
C.Technology Readiness Level.
D.Transport Ready Level.
Answer: C

Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?
A.Autonomous wheelchairs.
B.Automated blood sampling.
C.Autonomous vehicles.
D.Diagnostic image analysis
Answer: D

What does Prof David Chalmers describe the hard consciousness problem to be as comples as?
A.Psychology.
B.Turbulence.
C.Quantum mechanics.
D.The universe.
Answer: A

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.Change jobs.
D.Sabotage the Al.
Answer: A

An intelligent robot uses Al to do what?
A.Sense, plan and act
B.Plan, act and speak.
C.Perceive, plan and act.
D.Sense, plan and move.
Answer: A

How could machine learning make a robot autonomous?
A.Use OCR, optical character recognition, to read documents
B.Use NLP (Natural Language Processing) to listen
C.Use actuators to modify its environment
D.Learn from sensor data and plan to carry out a task.
Answer: B