(Nov-2023) AIF Exam Dumps Contains FREE Real Quesions from the Actual Exam
Free Test Engine Verified By Artificial intelligence (AI) Certified Experts
BCS AIF exam is recognized globally and is considered a valuable credential for professionals in the IT industry. It is ideal for individuals who want to demonstrate their expertise in AI and enhance their career prospects. Employers also benefit from hiring certified professionals who can apply AI techniques to business problems and drive innovation in their organizations.
NEW QUESTION # 21
What term do computer scientists and economists use to describe how happy an agent is?
- A. Utility.
- B. Index.
- C. Return
- D. Warm.
Answer: A
Explanation:
https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds
NEW QUESTION # 22
Who was the pioneer of computer programming?
- A. Dame Wendy Hall.
- B. Ada Lovelace.
- C. Karen Spark Jones.
- D. Sophie Wilson
Answer: B
Explanation:
Explanation
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
NEW QUESTION # 23
How could machine learning make a robot autonomous?
- A. Learn from sensor data and plan to carry out a task.
- B. Use NLP (Natural Language Processing) to listen
- C. Use actuators to modify its environment
- D. Use OCR, optical character recognition, to read documents
Answer: B
Explanation:
https://arxiv.org/pdf/1803.10813
NEW QUESTION # 24
Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?
- A. Automated blood sampling.
- B. Autonomous wheelchairs.
- C. Autonomous vehicles.
- D. Diagnostic image analysis
Answer: D
Explanation:
Explanation
Healthcare can benefit from AI, and in particular Machine Learning, in a number of ways. One example is diagnostic image analysis, which can help to automatically identify and classify abnormalities in medical images such as X-rays, CT scans, and MRI scans. Machine Learning algorithms can be used to detect patterns in the data which can be used to accurately diagnose diseases and illnesses.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international
NEW QUESTION # 25
Tensor flow is a typical open source what?
- A. Cloud based AI application.
- B. Intelligent robot paradigm.
- C. Machine learning library.
- D. Agent based modelling application
Answer: C
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%20powered%20applications.
NEW QUESTION # 26
Sustainability focuses on which three core areas?
- A. Social, Economic and Environmental.
- B. Scientific, Environmental and Economic.
- C. Social, Entrepreneurial and Environmental.
- D. Social, Economic and Entrepreneurial.
Answer: A
Explanation:
The term sustainability is broadly used to indicate programs, initiatives and actions aimed at the preservation of a particular resource. However, it actually refers to four distinct areas: human, social, economic and environmental - known as the four pillars of sustainability.
https://www.futurelearn.com/info/courses/sustainable-business/0/steps/78337#:~:text=However%2C%20it%20actually%20refers%20to,the%20four%20pillars%20of%20sustainability.&text=Human%20sustainability%20aims%20to%20maintain%20and%20improve%20the%20human%20capital%20in%20society.
NEW QUESTION # 27
Sustainability focuses on which three core areas?
- A. Social, Economic and Environmental.
- B. Scientific, Environmental and Economic.
- C. Social, Entrepreneurial and Environmental.
- D. Social, Economic and Entrepreneurial.
Answer: A
Explanation:
Explanation
The term sustainability is broadly used to indicate programs, initiatives and actions aimed at the preservation of a particular resource. However, it actually refers to four distinct areas:human, social, economic and environmental - known as the four pillars of sustainability.
https://www.futurelearn.com/info/courses/sustainable-business/0/steps/78337#:~:text=However%2C%20it%20ac Sustainability focuses on these three core areas because they all have an impact on the environment and society. Social sustainability is concerned with the relationships between people and how to create a society that is equitable and fair for all members. Economic sustainability focuses on the creation of a viable economic system that provides for the needs of the present without compromising the ability of future generations to meet their own needs. Environmental sustainability focuses on protecting natural resources, ecosystems and habitats, and minimizing the impact of human activities on the environment.
References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/ https://www
NEW QUESTION # 28
What does TRL stand for?
- A. Technology Readiness Level.
- B. Transport Ready Level.
- C. Technical Robotic Level.
- D. Transform Reinforced Learning
Answer: A
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 # 29
In the 1800's the development of statistics led to___________theorem and is used in probabilistic inference.
(Select the missing word.)
- A. Kolmogorov's
- B. Bayes'
- C. Boltzmann's
- D. The central limit
Answer: B
Explanation:
Explanation
The development of statistics in the 1800s led to the development of the Bayes' theorem, named after Reverend Thomas Bayes. This theorem is used in probabilistic inference, which is the process of using data to calculate the likelihood of a hypothesis or outcome. The theorem is used for determining the probability of an event occurring given its prior probability, as well as its associated conditions. The Bayes' theorem is also used in a variety of fields, such as machine learning, artificial intelligence, economics, and medical research.
Sources:
* BCS Foundation Certificate In Artificial Intelligence Study Guide: https://www.bcs.org/category/18071
* APMG
International: https://www.apmg-international.com/en/qualifications/qualification-resources/bcs-foundatio
* EXIN: https://www.exin.com/en/certification/bcs-foundation-certificate-in-artificial-intelligence
NEW QUESTION # 30
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?
- A. A human-centric value system.
- B. Customer feedback.
- C. UN's sustainability goals.
- D. A quality assurance plan.
Answer: A
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 # 31
Which of the following is an example of fitting a curve to a set of data?
- A. Least squares regression.
- B. Backwardpropagation.
- C. Bayesian network.
- D. Python.
Answer: A
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 # 32
The EU and United Nations have made designing for all individuals a core principle. What is this type of design called?
- A. Universal design.
- B. Biophilic design.
- C. Utopic design.
- D. Core design
Answer: A
Explanation:
https://universaldesign.ie/What-is-Universal-Design/
NEW QUESTION # 33
Who was the pioneer of computer programming?
- A. Dame Wendy Hall.
- B. Ada Lovelace.
- C. Karen Spark Jones.
- D. Sophie Wilson
Answer: B
Explanation:
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
NEW QUESTION # 34
An Al agent relies on its perceptual input. This is called the agent's what?
- A. Environment
- B. Percept
- C. World
- D. Position
Answer: B
Explanation:
Explanation
* Performance Measure of Agent It is the criteria, which determines how successful an agent is.
* Behavior of Agent It is theaction that agent performs after any given sequence of percepts.
* Percept It is agent's perceptual inputs at a given instance.
* Percept Sequence It is the history of all that an agent has perceived till date.
* Agent Function It is a map from the preceptsequence to an action.
Agent Terminology
https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_agents_and_environments.htm An AI agent relies on its perceptual input, which is referred to as the agent's percept. This is the data that the agent collects through its sensors about its environment. The percept allows the agent to make decisions and take actions based on its environment. The agent's percept is important for Artificial Intelligence systems to be able to operate effectively. References:
[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Reinforcement Learning", p.96-97. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"
NEW QUESTION # 35
What are monotonous and repetitive tasks, that require accuracy BEST suited to?
- A. Human plus machine.
- B. Machine.
- C. Human.
- D. Artificial General Intelligence.
Answer: B
NEW QUESTION # 36
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: D
Explanation:
Explanation
An agent based model is a simulation of autonomous agents (individual and collective). Machine learning can be used to learn from the data generated by the simulations. Machine learning algorithms can analyze the data generated by simulations and identify patterns, which can then be used to help the agent make decisions and take actions. References:
[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Simulation and Modelling", p.101-104.
[2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"
NEW QUESTION # 37
What is defined as a machine that can carry out a complex series of tasks automatically?
- A. A production line.
- B. A robot
- C. A computer.
- D. An autonomous vehicle.
Answer: B
Explanation:
Explanation
https://en.wikipedia.org/wiki/Robot#:~:text=A%20robot%20is%20a%20machine,control%20may%20be%20em
NEW QUESTION # 38
In an Al project the domain expert is the person...
- A. whomanages the agile project and writes the technical terms of reference
- B. with special knowledge or skills in the area of endeavour and defines what is fit for purpose'
- C. who measures the trustworthiness of the Al system
- D. with technical and managerial oversight of the business plan
Answer: C
NEW QUESTION # 39
Ensemble learning methods do what with the hypothesis space?
- A. Extract ergodic solutions.
- B. Select a combination of hypothesis to combine their predictions
- C. Test multiple hypotheses simultaneously.
- D. Use stochastic gradient descent to optimise a network.
Answer: B
Explanation:
Explanation
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20comb
NEW QUESTION # 40
With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what
type of machine learning?
- A. Batch learning.
- B. Online learning.
- C. Big Data learning.
- D. Patchwork learning.
Answer: C
NEW QUESTION # 41
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:
Explanation
https://www.techtarget.com/whatis/definition/scrum-master#:~:text=A%20Scrum%20Master%20is%20a,in%20a
NEW QUESTION # 42
What is defined as a philosophy, or set of assumptions and/or techniques, which characterise an approach to a class of problems?
- A. An algorithm.
- B. An approach.
- C. A paradigm.
- D. A set
Answer: C
NEW QUESTION # 43
From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean?
- A. Al agents will behave as humans.
- B. Al systems will preserve human agency.
- C. Al systems will be human-centric
- D. Robots will have freewill.
Answer: C
NEW QUESTION # 44
Splitting data into Training and Test data sets is part of what?
- A. Batch learning.
- B. Machine learning data preparation.
- C. High performance computing strategy.
- D. Machine learning post processing.
Answer: B
Explanation:
Explanation
Splitting data into training and test data sets is an important step in the machine learning data preparation process. This process involves splitting the data into subsets, usually in a 70:30 ratio, to create a training set and a test set. The training set is used to train the machine learning model, while the test set is used to evaluate the model's performance. This process allows for the model to be tested and evaluated on data that it has not seen before, in order to ensure that it is accurate and able to generalize to new data. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/
NEW QUESTION # 45
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?
- A. Sabotage the Al.
- B. Higher value work.
- C. Change jobs.
- D. Leisure activities
Answer: C
NEW QUESTION # 46
......
BCS Foundation Certificate in Artificial Intelligence (AIF) exam is a certification program designed to test the knowledge and skills of individuals in the field of artificial intelligence. AIF exam is recognized globally and is a valuable asset for individuals who are seeking to validate their expertise in the field of AI. The BCS AIF exam covers a range of topics including machine learning, neural networks, natural language processing, and robotics.
Use Real BCS Achieve the AIF Dumps - 100% Exam Passing Guarantee: https://www.examtorrent.com/AIF-valid-vce-dumps.html
Verified AIF Q&As - Pass Guarantee AIF Exam Dumps: https://drive.google.com/open?id=1SKUEu1wR_V_krCMcz2eU_I6IATJrCTdc
