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APMG-International Artificial-Intelligence-Foundation (Foundation Certification Artificial Intelligence) Certification Exam is a globally recognized certification program that validates an individual's knowledge and understanding of the fundamental concepts and principles of Artificial Intelligence (AI). Foundation Certification Artificial Intelligence certification is designed to provide candidates with a comprehensive understanding of AI and its applications, including Machine Learning, Natural Language Processing, Neural Networks, and Robotics.

APMG-International Artificial-Intelligence-Foundation certification has many benefits for individuals and organizations. For individuals, this certification can lead to better job prospects and higher salaries. It demonstrates a commitment to professional development and a dedication to staying up-to-date with the latest trends and technologies in the field. For organizations, having certified AI professionals on staff can lead to more effective and efficient use of AI technologies, which can translate to increased productivity and profitability.

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APMG-International Foundation Certification Artificial Intelligence Sample Questions (Q39-Q44):

NEW QUESTION # 39
With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?

  • A. Online learning.
  • B. Patchwork learning.
  • C. Batch learning.
  • D. Big Data learning.

Answer: A

Explanation:
Explanation

Online learning is a type of machine learning that can be used when a large dataset is limited in computational resources or if the data is frequently changing. It allows the system to learn from new data as it is being presented, rather than having to re-train the entire dataset each time new data is added. This makes it more efficient and effective than batch learning, as it only needs to process the new data and not the entire dataset.
Online learning is often used in applications such as fraud detection, where new data is constantly being added and needs to be analyzed quickly.
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 # 40
The EU and United Nations have made designing for all individuals a core principle. What is this type of design called?

  • A. Biophilic design.
  • B. Core design
  • C. Utopic design.
  • D. Universal design.

Answer: D

Explanation:
Explanation
https://universaldesign.ie/What-is-Universal-Design/
Universal design is a type of design that takes into account the needs of all individuals, regardless of age, ability, or physical condition. It is a principle that is embraced by the European Union and the United Nations, and it is based on the idea that products, services, and environments should be designed to be usable by the widest range of people possible. Universal design emphasizes accessibility, usability, and inclusivity, and it is often used to create products and services that are easy to use for people of all ages and abilities.
References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/ https://www


NEW QUESTION # 41
Which factor of a Waterfall' approach is most likely to result in the failed delivery of an Al project?

  • A. Takes longer to complete the design phase of the project.
  • B. Discourages revisiting and revising any prior phase once it is complete.
  • C. Discourages collaboration and cross boundary communication.
  • D. Takes longer to deliver all functional requirements.

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 # 42
An Al agent relies on its perceptual input. This is called the agent's what?

  • A. World
  • B. Environment
  • C. Percept
  • D. Position

Answer: C

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 # 43
Which of the following is an example of fitting a curve to a set of data?

  • A. Backward propagation.
  • B. Least squares regression.
  • C. Python.
  • 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 # 44
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