AIF Free Study Guide! with New Update 42 Exam Questions
Get up-to-date Real Exam Questions for AIF UPDATED [2023]
NEW QUESTION # 17
With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?
- A. Big Data learning.
- B. Patchwork learning.
- C. Batch learning.
- D. Online learning.
Answer: C
Explanation:
NEW QUESTION # 18
Tensor flow is a typical open source what?
- A. Cloud based AI application.
- B. Agent based modelling application
- C. Machine learning library.
- D. Intelligent robot paradigm.
Answer: C
Explanation:
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%20power
NEW QUESTION # 19
What does TRL stand for?
- A. Transport Ready Level.
- B. Technology Readiness Level.
- C. Technical Robotic Level.
- D. Transform Reinforced Learning
Answer: B
Explanation:
Technology Readiness Level (TRL) Technology Readiness Levels (TRL) are a method of estimating the technology maturity of Critical Technology Elements (CTE) of a program during the acquisition process.
https://acqnotes.com/acqnote/tasks/technology-readiness-level#:~:text=Technology%20Development-,Technology%20Readiness%20Level%20(TRL),program%20during%20the%20acquisition%20process.
NEW QUESTION # 20
Human-centric trustworthy Al must be...
- A. financially sustainable.
- B. continually assessed and monitored.
- C. quality assurance certified.
- D. tested by humans.
Answer: B
Explanation:
Explanation
Human-centric trustworthy Al must be continually assessed and monitored in order to ensure that it is behaving in a safe and ethical manner. This includes conducting regular tests and audits to ensure that the Al is functioning as intended, and is not taking any actions or decisions that could potentially harm humans or their environment. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/ai/certificate/ and APMG International, https://www.apmg-international.com/qualifications/artificial-intelligence-foundation-certificate.
NEW QUESTION # 21
A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?
- A. An array of complex numbers
- B. An array with onedimension.
- C. A constant
- D. A two-dimensional array of scalars.
Answer: B
Explanation:
Explanation
In computer programming, a vector is a data structure that contains a collection of elements that are all of the same type. Each element in the vector has an associated index, which can be used to access and modify the element at that index. Vectors are commonly used to store collections of numerical values (e.g., integers or floating-point numbers) or strings, but they can also be used to store any type of data.
References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 36 [2] APMG International, "What is a Vector in Computer Programming?", https://apmg-international.com/en/blog/what-is-a-vector-in-computer-programming/ [3] EXIN, "What is a Vector in Computer Programming?", https://www.exin.com/blog/what-is-a-vector-in-computer-programming/
NEW QUESTION # 22
In an Al project the domain expert is the person...
- A. whomanages the agile project and writes the technical terms of reference
- B. who measures the trustworthiness of the Al system
- C. with special knowledge or skills in the area of endeavour and defines what is fit for purpose'
- D. with technical and managerial oversight of the business plan
Answer: B
NEW QUESTION # 23
What term do computer scientists and economists use to describe how happy an agent is?
- A. Return
- B. Utility.
- C. Index.
- D. Warm.
Answer: B
Explanation:
Explanation
https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds Computer scientists and economists use the term "utility" to describe how happy an agent is. Utility is a measure of satisfaction or preference, and it is used to evaluate an agent's satisfaction with a particular outcome. Utility can be used to determine the optimal decision or action for an agent to take in order to maximize its satisfaction. References:
[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Decision Making and Planning", p.99-100. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"
NEW QUESTION # 24
Who was the pioneer of computer programming?
- A. Ada Lovelace.
- B. Karen Spark Jones.
- C. Sophie Wilson
- D. Dame Wendy Hall.
Answer: A
Explanation:
Explanation
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
Ada Lovelace was an English mathematician and writer who is widely credited as the pioneer of computer programming. In 1842, she wrote an article in which she outlined the fundamental principles of computing, making her the first person to recognize the potential of computers and to describe algorithms that could be used to program them. Her work laid the basis for modern computing and is recognized as one of the most significant contributions to the field of computing.
References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/
NEW QUESTION # 25
What does Prof David Chalmers describe the hard consciousness problem to be as comples as?
- A. Quantum mechanics.
- B. The universe.
- C. Psychology.
- D. Turbulence.
Answer: B
Explanation:
Explanation
Prof David Chalmers describes the hard consciousness problem to be as complex as the universe. He argues that understanding consciousness is as hard as understanding the universe itself, due to the number of variables and dimensions involved. He has compared the complexity of the problem to that of turbulence, quantum mechanics, and psychology, but believes that the problem of consciousness is even more complex than all of these.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf
[2] https://www.apmg-international
David J. Chalmers, "The Hard Problem of Consciousness", in J. Shear (ed.), Explaining Consciousness:
The "Hard Problem", MIT Press, 1997.
NEW QUESTION # 26
What are monotonous and repetitive tasks, that require accuracy BEST suited to?
- A. Machine.
- B. Human plus machine.
- C. Artificial General Intelligence.
- D. Human.
Answer: C
NEW QUESTION # 27
From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean?
- A. Al systems will preserve human agency.
- B. Al agents will behave as humans.
- C. Al systems will be human-centric
- D. Robots will have freewill.
Answer: C
NEW QUESTION # 28
A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?
- A. An array with one dimension.
- B. An array of complex numbers
- C. A constant
- D. A two-dimensional array of scalars.
Answer: D
NEW QUESTION # 29
What does TRL stand for?
- A. Transport Ready Level.
- B. Technology Readiness Level.
- C. Technical Robotic Level.
- D. Transform Reinforced Learning
Answer: B
Explanation:
Explanation
Technology Readiness Level (TRL) Technology Readiness Levels (TRL) are a method of estimating the
technology maturity of Critical Technology Elements (CTE) of a program during the acquisition process.
https://acqnotes.com/acqnote/tasks/technology-readiness-level#:~:text=Technology%20Development-,Technolog
NEW QUESTION # 30
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?
- A. Artificial General Al.
- B. NLP - Natural Language Processing.
- C. Conscious integration.
- D. Conscioussimul-ation.
Answer: B
NEW QUESTION # 31
The EU and United Nations have made designing for all individuals a core principle. What is this type of design called?
- A. Biophilic design.
- B. Universal design.
- C. Utopic design.
- D. Core design
Answer: B
Explanation:
https://universaldesign.ie/What-is-Universal-Design/
NEW QUESTION # 32
Who was the pioneer of computer programming?
- A. Ada Lovelace.
- B. Karen Spark Jones.
- C. Sophie Wilson
- D. Dame Wendy Hall.
Answer: A
Explanation:
Explanation
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
NEW QUESTION # 33
With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?
- A. Big Data learning.
- B. Patchwork learning.
- C. Batch learning.
- D. Online learning.
Answer: D
Explanation:
Explanation
Online learning is a type of machine learning that can be used when a large dataset is limited in computational resources or if the data is frequently changing. It allows the system to learn from new data as it is being presented, rather than having to re-train the entire dataset each time new data is added. This makes it more efficient and effective than batch learning, as it only needs to process the new data and not the entire dataset.
Online learning is often used in applications such as fraud detection, where new data is constantly being added and needs to be analyzed quickly.
For more information, please refer to the BCS Foundation Certificate In Artificial Intelligence Study Guide (https://www.bcs.org/upload/pdf/bcs-foundation-certificate-in-artificial-intelligence-study-guide.pdf) or the EXIN Artificial Intelligence Foundation Certification (https://www.exin.com/en/exams/artificial-intelligence-foundation).
NEW QUESTION # 34
An intelligent robot uses Al to do what?
- A. Sense, plan and act
- B. Sense, plan and move.
- C. Perceive, plan and act.
- D. Plan, act and speak.
Answer: A
NEW QUESTION # 35
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?
- A. Artificial General Al.
- B. Conscious simul-ation.
- C. Conscious integration.
- D. NLP - Natural LanguageProcessing.
Answer: D
Explanation:
Explanation
NLP - Natural Language Processing is an example of narrow AI. It is a type of AI system that is able to understand, interpret, and generate natural language. NLP has become increasingly popular over the past few years, as it has been used to create applications such as chatbots, virtual assistants, and search engines. NLP systems are able to learn language and the context in which it is used, and they are able to understand the nuances of language and its different meanings. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/
NEW QUESTION # 36
How could machine learningmake a robot autonomous?
- A. Learn from sensor data and plan to carry out a task.
- B. Use actuators to modify its environment
- C. Use OCR, optical character recognition, to read documents
- D. Use NLP (Natural Language Processing) to listen
Answer: A
Explanation:
Explanation
Machine learning can be used to make robots autonomous by allowing them to learn from sensor data and plan how to carry out a task. This involves using algorithms to analyze data from sensors and use this data to make decisions and take actions. By using machine learning, robots can learn from their environment and become more autonomous. References:
[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Robotics", p.98. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"
NEW QUESTION # 37
Collaboration, learning and iterative are terms used to describe what?
- A. Rapid software development.
- B. Waterfall projects.
- C. Agile projects
- D. Trustworthy Al.
Answer: C
Explanation:
Explanation
Collaboration, learning, and iterative are terms used to describe agile projects. Agile projects are designed to be adaptive and flexible, allowing teams to incorporate feedback and learn from their mistakes. This process encourages collaboration between team members, and emphasizes the importance of iterative development and continual improvement. Agile projects focus on delivering value quickly and efficiently, allowing teams to make changes and adapt to changing customer needs.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international
NEW QUESTION # 38
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