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The exam is designed to test the candidate's understanding of the underlying principles of AI, as well as their ability to apply these principles to real-world scenarios. The certification is intended for individuals who have a basic understanding of computer science and programming, but who may not have any prior experience in AI. The exam is designed to be accessible to individuals from a wide range of backgrounds and industries, including software development, data science, and business analysis.
The APMG-International Artificial-Intelligence-Foundation (Foundation Certification Artificial Intelligence) Exam is a certification program designed to help professionals gain a comprehensive understanding of the fundamental concepts and principles of artificial intelligence. The exam covers a wide range of topics, including machine learning, natural language processing, robotics, and deep learning. The certification is globally recognized and is ideal for individuals who want to demonstrate their knowledge and expertise in the field of AI.
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APMG-International Foundation Certification Artificial Intelligence Sample Questions (Q30-Q35):
NEW QUESTION # 30
The Scrum Master is part of which team?
- A. Agile project team.
- B. Software development team.
- C. Management team
- D. Data preparation team
Answer: A
Explanation:
Explanation
https://www.techtarget.com/whatis/definition/scrum-master#:~:text=A%20Scrum%20Master%20is%20a,in%20a The Scrum Master is part of the agile project team, and is responsible for ensuring that the team is following the Scrum process. The Scrum Master is the facilitator of the team, ensuring that the team is working together and following the Scrum principles. They are also responsible for protecting the team from any external influences and helping resolve any issues that may arise.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international
NEW QUESTION # 31
What is an intelligent robot?
- A. A robot that has consciousness
- B. A robot that acts like a human.
- C. A robot that uses Al techniques.
- D. A robot that takes the place of a human.
Answer: C
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 # 32
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. Machine Learning.
- C. Paraview.
- D. A spreadsheet
Answer: B
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 # 33
Which of the following is an example of fitting a curve to a set of data?
- A. Python.
- B. Least squares regression.
- C. Backward propagation.
- D. Bayesian network.
Answer: B
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 # 34
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. A constant
- C. A two-dimensional array of scalars.
- D. An array with one dimension.
Answer: D
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 # 35
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