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The field of artificial intelligence (AI) has seen tremendous growth and development in recent years. As AI becomes increasingly prevalent in various industries, there is an urgent need for professionals who are knowledgeable and skilled in this field. The APMG-International Artificial-Intelligence-Foundation certification is designed to provide individuals with the knowledge and skills needed to work effectively in the field of AI. Foundation Certification Artificial Intelligence certification is a valuable asset for professionals who want to specialize in AI or work with AI technologies in their respective industries.
NEW QUESTION # 14
An intelligent robot uses Al to do what?
- A. Perceive, plan and act.
- B. Plan, act and speak.
- C. Sense, plan and move.
- D. Sense, plan and act
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 # 15
Which factor of a Waterfall' approach is most likely to result in the failed delivery of an Al project?
- A. Discourages collaboration and cross boundary communication.
- B. Discourages revisiting and revising any prior phase once it is complete.
- C. Takes longer to deliver all functional requirements.
- D. Takes longer to complete the design phase of the project.
Answer: B
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 # 16
An Al agent relies on its perceptual input. This is called the agent's what?
- A. World
- B. Percept
- C. Environment
- 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 the action 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 precept sequence 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 # 17
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. Machine Learning.
- B. Paraview.
- C. A spreadsheet
- D. Python.
Answer: A
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 # 18
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. The central limit
- C. Bayes'
- D. Boltzmann's
Answer: C
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 # 19
Healthcare can benefit from Al, and in particular Machine Learning, an example of which is?
- A. Diagnostic image analysis
- B. Automated blood sampling.
- C. Autonomous vehicles.
- D. Autonomous wheelchairs.
Answer: A
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 # 20
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: B
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 # 21
Ensemble learning methods do what with the hypothesis space?
- A. Use stochastic gradient descent to optimise a network.
- B. Select a combination of hypothesis to combine their predictions
- C. Test multiple hypotheses simultaneously.
- D. Extract ergodic solutions.
Answer: B
Explanation:
Explanation
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20comb It works by selecting different subsets of the data, or different combinations of the hypothesis, and combining the results of each prediction in order to create a single, more accurate result. This is useful in situations where different hypothesis may be accurate in different parts of the data, or where a single hypothesis may not be accurate in all cases. Ensemble learning is used in a variety of applications, from computer vision to natural language processing.
References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, BCS [2] Apmg-international.com, "What is Ensemble Learning?", APMG International, https://apmg-international.com/en/about-apmg/blog/what-is-ensemble-learning/ [3] Exin.com,
"Ensemble Learning", EXIN, https://www.exin.com/en-us/learn/ensemble-learning
NEW QUESTION # 22
What is an intelligent robot?
- A. A robot that uses Al techniques.
- B. A robot that acts like a human.
- C. A robot that has consciousness
- D. A robot that takes the place of a human.
Answer: A
Explanation:
Explanation
An intelligent robot is one that uses AI techniques, such as machine learning and natural language processing, to perceive, plan and act on its environment. Intelligent robots are able to process large amounts of data quickly and accurately, allowing them to make decisions and carry out tasks autonomously. Intelligent robots can be used in a variety of applications, from industrial automation to healthcare.
NEW QUESTION # 23
What is defined as a machine that can carry out a complex series of tasks automatically?
- A. A computer.
- B. A robot
- C. An autonomous vehicle.
- D. A production line.
Answer: A
Explanation:
Explanation
https://en.wikipedia.org/wiki/Robot#:~:text=A%20robot%20is%20a%20machine,control%20may%20be%20em A computer is defined as a machine that can carry out a complex series of tasks automatically. Computers are used in a variety of applications, including artificial intelligence (AI), robotics, production lines, and autonomous vehicles. Computers are able to carry out complex tasks thanks to their ability to process large amounts of data quickly and accurately.
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 # 24
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?
- A. UN's sustainability goals.
- B. A quality assurance plan.
- C. A human-centric value system.
- D. Customer feedback.
Answer: C
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 # 25
Which of the following is an advantage of a machine based system?
- A. Can explain the output of an Al system
- B. Able to judge ambiguous and unknown situations.
- C. Capable of sympathising with humans.
- D. Undertakes monotonous tasks reliably and accurately.
Answer: D
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 # 26
Which of the following is an example of fitting a curve to a set of data?
- A. Bayesian network.
- B. Backward propagation.
- C. Least squares regression.
- D. Python.
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 # 27
What function is used in a Neural Network?
- A. Linear.
- B. Activation.
- C. Trigonometric.
- D. Statistical.
Answer: B
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 An activation function is a mathematical function used in a neural network to determine the output of a neuron. Activation functions are used to transform the inputs into an output signal and can range from simple linear functions to complex non-linear functions. Activation functions are an important part of neural networks and help the network learn patterns and generalize data. Types of activation functions include sigmoid, ReLU, tanh, and softmax. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/
NEW QUESTION # 28
Collaboration, learning and iterative are terms used to describe what?
- A. Waterfall projects.
- B. Agile projects
- C. Rapid software development.
- D. Trustworthy Al.
Answer: B
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 # 29
Reflex and Model-based Reflex are two types of what?
- A. Compilers.
- B. Algorithms.
- C. Artificial intelligent agents.
- D. Robot
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 # 30
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APMG-International Artificial-Intelligence-Foundation (Foundation Certification Artificial Intelligence) Certification Exam is an excellent opportunity for professionals to develop a fundamental understanding of AI concepts, principles, and techniques. Foundation Certification Artificial Intelligence certification is recognized globally and can enhance career prospects for individuals across various industries. With the increasing demand for AI expertise, obtaining this certification can be a valuable investment for professionals who wish to stay ahead of the curve.
APMG-International Artificial-Intelligence-Foundation Dumps Cover Real Exam Questions: https://www.updatedumps.com/APMG-International/Artificial-Intelligence-Foundation-updated-exam-dumps.html