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Practice with AIF Dumps for Artificial intelligence (AI) Certified Exam Questions & Answer
BCS AIF certification exam is ideal for individuals who are looking to enhance their career prospects in the field of AI. It is a globally recognized certification that can help individuals stand out in a competitive job market. BCS Foundation Certificate In Artificial Intelligence certification can also help individuals demonstrate their commitment to professional development and their willingness to learn new skills and technologies.
NEW QUESTION # 15
What does TRL stand for?
- A. Transform Reinforced Learning
- B. Technology Readiness Level.
- C. Transport Ready Level.
- D. Technical Robotic Level.
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 # 16
What function is used in a Neural Network?
- A. Activation.
- B. Trigonometric.
- C. Statistical.
- D. Linear.
Answer: A
Explanation:
Explanation
Activation Functions
An activation function in a neural network defines how the weighted sum of the input is transformed into an
output from a node or nodes in a layer of the network.
https://machinelearningmastery.com/choose-an-activation-function-for-deep-learning/#:~:text=An%20activation
NEW QUESTION # 17
What is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a class of problems?
- A. An approach.
- B. A set
- C. An algorithm.
- D. A paradigm.
Answer: D
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 # 18
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?
- A. UN's sustainability goals.
- B. A quality assurance plan.
- C. Customer feedback.
- D. A human-centric value system.
Answer: D
Explanation:
Explanation
The European Union's Ethical Guidelines for Trustworthy AI use a human-centric value system to demonstrate that Artificial Intelligence (AI) is trustworthy. This value system is based on human rights, autonomy, safety, privacy, transparency, accountability and fairness. The guidelines also state that AI should be designed, developed and used in a manner that respects these values. References:
* https://ec.europa.eu/digital-single-market/en/news/ethical-guidelines-trustworthy-ai
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), A.I & Ethics, Chapter 5.
NEW QUESTION # 19
What is defined as a machine that can carry out a complex series of tasks automatically?
- A. A robot
- B. A computer.
- C. A production line.
- D. An autonomous vehicle.
Answer: A
Explanation:
Explanation
https://en.wikipedia.org/wiki/Robot#:~:text=A%20robot%20is%20a%20machine,control%20may%20be%20em
NEW QUESTION # 20
Reflex andModel-based Reflex are two types of what?
- A. Compilers.
- B. Robot
- C. Artificial intelligent agents.
- D. Algorithms.
Answer: C
Explanation:
Explanation
Reflex and Model-based Reflex are two types of Artificial Intelligent Agents. Artificial Intelligent Agents are computer systems designed to act and think in a manner similar to humans, incorporating elements of problem solving, decision-making, communication, and learning. Reflex agents are reactive agents which act based on the current environment and conditions, while Model-based Reflex agents use a model of the environment to make decisions. 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
With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?
- A. Patchwork learning.
- B. Online learning.
- C. Big Data learning.
- D. Batch learning.
Answer: D
Explanation:
NEW QUESTION # 22
What does TRL stand for?
- A. Transform Reinforced Learning
- B. Technology Readiness Level.
- C. Transport Ready Level.
- D. Technical Robotic Level.
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 TRL stands for Technology Readiness Level and is a measure of how close a technology is to being ready for use in a real-world environment. TRL is used to assess the progress of research and development of a technology, ranging from basic research (TRL 1) to fully operational (TRL 9). TRL is used to help determine the level of completion of a technology and its potential success in a real-world environment.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international
NEW QUESTION # 23
Which of the following is an example of fitting a curve to a set of data?
- A. Bayesian network.
- B. Python.
- C. Least squares regression.
- D. Backwardpropagation.
Answer: C
Explanation:
Explanation
Least Squares Regression is a statistical technique used for fitting a curve to a set of data. It involves minimizing the sum of the squares of the differences between the observed data and the fitted curve. This is done by finding the line of best fit, which is the line that minimizes the sum of the squared residuals. The line of best fit is determined by finding the parameters that give the minimum sum of the squared residuals. This technique is often used in data science and machine learning to create models that can be used to make predictions. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/
NEW QUESTION # 24
In Machine learning what are a brain's axons called?
- A. Dendrites
- B. Tetrahedra.
- C. Edges
- D. Nodes
Answer: D
Explanation:
Explanation
In Machine Learning, the brain's axons are referred to as nodes. Nodes are the components of a neural network that are responsible for processing the input data and generating the output. A node is a mathematical function that takes input data, performs a computation on it, and produces an output. Each node is connected to other nodes in the network via edges, which represent the strength of the connection between the respective nodes. The strength of the connection between two nodes is determined by the weights assigned to each edge.
The weights are adjusted during the training process to generate the desired results.
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 # 25
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?
- A. Change jobs.
- B. Sabotage the Al.
- C. Higher value work.
- D. Leisure activities
Answer: C
NEW QUESTION # 26
How could machine learning make a robot autonomous?
- A. Use OCR, optical character recognition, to read documents
- B. Learn from sensor data and plan to carry out a task.
- C. Use actuators to modify its environment
- D. Use NLP (Natural Language Processing) to listen
Answer: D
Explanation:
Explanation
https://arxiv.org/pdf/1803.10813
NEW QUESTION # 27
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?
- A. Higher value work.
- B. Sabotage the Al.
- C. Change jobs.
- D. Leisure activities
Answer: C
NEW QUESTION # 28
What technique can be adopted when a weak learners hypothesis accuracy is only slightly better than 50%?
- A. Iteration.
- B. Boosting.
- C. Activation.
- D. Over-fitting
Answer: B
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 # 29
The Scrum Master is part of which team?
- A. Agile project team.
- B. Data preparation team
- C. Management team
- D. Software development 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 # 30
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?
- A. NLP - Natural Language Processing.
- B. Conscious integration.
- C. Artificial General Al.
- D. Conscioussimul-ation.
Answer: A
NEW QUESTION # 31
Professor David Chalmers described consciousness as having two questions. What were these?
- A. Can we integrate our knowledge to form consciousness and can we simulate consciousness?
- B. An easy one and a hard one.
- C. What is the sub conscious and what is the conscious?
- D. Are only humans conscious and are machines always unconscious?
Answer: A
NEW QUESTION # 32
What function is used in a Neural Network?
- A. Activation.
- B. Trigonometric.
- C. Statistical.
- D. Linear.
Answer: A
Explanation:
Activation Functions
An activation function in a neural network defines how the weighted sum of the input is transformed into an output from a node or nodes in a layer of the network.
https://machinelearningmastery.com/choose-an-activation-function-for-deep-learning/#:~:text=An%20activation%20function%20in%20a,a%20layer%20of%20the%20network.
NEW QUESTION # 33
The EU and United Nations have made designing for all individuals a core principle. What is this type of
design called?
- A. Core design
- B. Biophilic design.
- C. Utopic design.
- D. Universal design.
Answer: D
Explanation:
Explanation
https://universaldesign.ie/What-is-Universal-Design/
NEW QUESTION # 34
An agent based model is asimul-ationof autonomous agents (individual and collective). What can be used to
learn from the data generated by thesimul-ations?
- A. Machine Learning.
- B. Paraview.
- C. Python.
- D. A spreadsheet
Answer: D
Explanation:
Explanation
https://www.pnas.org/doi/10.1073/pnas.082080899
NEW QUESTION # 35
Human-centric trustworthy Al must be...
- A. tested by humans.
- B. quality assurance certified.
- C. continually assessed and monitored.
- D. financially sustainable.
Answer: B
NEW QUESTION # 36
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 # 37
Which of the following is an example of fitting a curve to a set of data?
- A. Bayesian network.
- B. Backward propagation.
- C. Python.
- D. Least squares regression.
Answer: D
NEW QUESTION # 38
......
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