[Dec 14, 2023] AIF Test Engine files, AIF Dumps PDF
Latest BCS AIF PDF and Dumps (2023) Free Exam Questions Answers
BCS AIF Exam is recognized globally and is an excellent way to demonstrate your proficiency in AI. It is a computer-based exam that comprises 40 multiple-choice questions, and you have 60 minutes to complete the exam. AIF exam is available in several languages, including English, Spanish, Portuguese, and Chinese.
NEW QUESTION # 24
Who was the pioneer of computer programming?
- A. Dame Wendy Hall.
- B. Karen Spark Jones.
- C. Ada Lovelace.
- D. Sophie Wilson
Answer: C
Explanation:
Explanation
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
NEW QUESTION # 25
How could machine learningmake a robot autonomous?
- A. Use actuators to modify its environment
- B. Use NLP (Natural Language Processing) to listen
- C. Learn from sensor data and plan to carry out a task.
- D. Use OCR, optical character recognition, to read documents
Answer: C
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 # 26
What technique can be adopted when a weak learners hypothesis accuracy is only slightly better than 50%?
- A. Iteration.
- B. Over-fitting
- C. Activation.
- D. Boosting.
Answer: D
Explanation:
Explanation
* 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/
NEW QUESTION # 27
An intelligent robot uses Al to do what?
- A. Perceive, plan and act.
- B. Sense, plan and act
- C. Sense, plan and move.
- D. Plan, act and speak.
Answer: A
Explanation:
Explanation
An intelligent robot uses Artificial Intelligence (AI) to perceive its environment, plan its actions and then act on them. This is sometimes referred to as the "sense, plan, act" cycle, and is at the heart of what makes a robot intelligent. By using AI, robots can sense their environment, plan their actions accordingly and then act on them in order to complete their tasks.
For more information, please refer to the BCS Foundation Certificate in Artificial Intelligence Study Guide: https://www.bcs.org/category/18076/bcs-foundation-certificate-in-artificial-intelligence-study-guide.
NEW QUESTION # 28
Which of the following is an advantage of a machine based system?
- A. Undertakes monotonous tasks reliably and accurately.
- B. Capable of sympathising with humans.
- C. Able to judge ambiguous and unknown situations.
- D. Can explain the output of an Al system
Answer: A
Explanation:
Explanation
One of the main advantages of a machine-based system is its ability to reliably and accurately undertake monotonous and repetitive tasks. This is especially useful for tasks that require a high level of accuracy and precision, such as data entry or analysis. Machine-based systems are also able to process large amounts of data quickly, meaning that they are able to complete tasks more quickly and efficiently than humans. Additionally, machine-based systems can be programmed to take certain decisions and actions based on the input data, allowing them to automate certain processes without the need for human intervention. References:
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI Systems, Chapter 8.
* https://www.apmg-international.com/en/al-adoption/advantages-of-al/
NEW QUESTION # 29
The EU and United Nations have made designing for all individuals a core principle. What is this type of
design called?
- A. Utopic design.
- B. Universal design.
- C. Biophilic design.
- D. Core design
Answer: B
Explanation:
Explanation
https://universaldesign.ie/What-is-Universal-Design/
NEW QUESTION # 30
Reflex and Model-based Reflex are two types of what?
- A. Algorithms.
- B. Compilers.
- C. Robot
- D. Artificial intelligent agents.
Answer: D
NEW QUESTION # 31
Which factor of a Waterfall' approach is most likely to result in the failed delivery of an Al project?
- A. Takes longer to deliver all functional requirements.
- B. Discourages collaboration and cross boundary communication.
- C. Discourages revisiting and revising any prior phase once it is complete.
- D. Takes longer to complete the design phase of the project.
Answer: C
Explanation:
Explanation
The Waterfall approach is a sequential design process in which each phase of development must be completed before the next phase can begin. This means that once a phase is complete, it is difficult to go back and make changes, as any changes made to the project could potentially affect all the other phases. As a result, the Waterfall approach can make it difficult to adapt to changing customer requirements or adjust to new technology. This can ultimately lead to the failed delivery of an AI project.
References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 19 [2] APMG International, "What is a Waterfall Model?", https://apmg-international.com/en/blog/what-is-a-waterfall-model/ [3] EXIN, "What is the Waterfall Model?", https://www.exin.com/blog/what-is-the-waterfall-model/
NEW QUESTION # 32
What technique can be adopted when a weak learners hypothesis accuracy is only slightly better than 50%?
- A. Iteration.
- B. Over-fitting
- C. Activation.
- D. Boosting.
Answer: D
Explanation:
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/
NEW QUESTION # 33
What term do computer scientists and economists use to describe how happy an agent is?
- A. Warm.
- B. Index.
- C. Utility.
- D. Return
Answer: C
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 # 34
Splitting data into Training and Test data sets is part of what?
- A. Machine learning data preparation.
- B. High performance computing strategy.
- C. Batch learning.
- D. Machine learning post processing.
Answer: A
NEW QUESTION # 35
Who was the pioneer of computer programming?
- A. Dame Wendy Hall.
- B. Karen Spark Jones.
- C. Ada Lovelace.
- D. Sophie Wilson
Answer: C
Explanation:
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
NEW QUESTION # 36
What does TRL stand for?
- A. Technology Readiness Level.
- B. Technical Robotic Level.
- C. Transform Reinforced Learning
- D. Transport Ready Level.
Answer: A
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 # 37
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?
- A. Python.
- B. Paraview.
- C. A spreadsheet
- D. Machine Learning.
Answer: C
Explanation:
https://www.pnas.org/doi/10.1073/pnas.082080899
NEW QUESTION # 38
The Scrum Master is part of which team?
- A. Agile project team.
- B. Data preparation team
- C. Software development team.
- D. Management team
Answer: A
Explanation:
Explanation
https://www.techtarget.com/whatis/definition/scrum-master#:~:text=A%20Scrum%20Master%20is%20a,in%20a
NEW QUESTION # 39
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?
- A. A quality assurance plan.
- B. A human-centric value system.
- C. UN's sustainability goals.
- D. Customer feedback.
Answer: C
NEW QUESTION # 40
What is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a class of problems?
- A. A paradigm.
- B. An algorithm.
- C. An approach.
- D. A set
Answer: A
Explanation:
Explanation
A paradigm is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a class of problems. Paradigms are often used in Artificial Intelligence to provide a structure for problem solving, allowing for better understanding of the problem and providing a framework for developing a solution. For example, the logic-based approach is a paradigm that uses logical reasoning to solve problems.
For more information, please refer to the BCS Foundation Certificate in Artificial Intelligence Study Guide: https://www.bcs.org/category/18076/bcs-foundation-certificate-in-artificial-intelligence-study-guide.
NEW QUESTION # 41
The Scrum Master is part of which team?
- A. Agile project team.
- B. Data preparation team
- C. Software development team.
- D. Management team
Answer: A
Explanation:
https://www.techtarget.com/whatis/definition/scrum-master#:~:text=A%20Scrum%20Master%20is%20a,in%20accordance%20with%20Agile%20principles.
NEW QUESTION # 42
Human-centric trustworthy Al must be...
- A. continually assessed and monitored.
- B. financially sustainable.
- C. quality assurance certified.
- D. tested by humans.
Answer: C
NEW QUESTION # 43
In Machine learning what are a brain's axons called?
- A. Nodes
- B. Edges
- C. Dendrites
- D. Tetrahedra.
Answer: C
NEW QUESTION # 44
......
BCS AIF Exam is an online examination that consists of 40 multiple-choice questions. Participants have 1 hour to complete the exam and must achieve a minimum score of 65% to pass. Upon passing the exam, participants will receive a BCS Foundation Certificate in Artificial Intelligence, which demonstrates their knowledge and understanding of AI concepts and principles. BCS Foundation Certificate In Artificial Intelligence certification is valid for three years and can be renewed by retaking the exam or by completing a continuing professional development program.
Pass Your Artificial intelligence (AI) AIF Exam on Dec 14, 2023 with 42 Questions: https://www.actual4cert.com/AIF-real-questions.html
AIF Free Exam Study Guide! (Updated 42 Questions): https://drive.google.com/open?id=1mx8SqfALqbSYewWxz2n-_v_qKiHuJWka