Most Recent APMG-International Artificial-Intelligence-Foundation Exam Questions & Answers

Prepare for the APMG-International Foundation Certification Artificial Intelligence exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the APMG-International Artificial-Intelligence-Foundation exam and achieve success.

The questions for Artificial-Intelligence-Foundation were last updated on Nov 22, 2024.

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Question No. 1

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

APython.

BLeast squares regression.

CBayesian network.

DBackward propagation.

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Correct Answer: B

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. Reference: BCS Foundation Certificate In Artificial Intelligence Study Guide,https://bcs.org/certifications/foundation-certificates/artificial-intelligence/

Question No. 2

Ensemble learning methods do what with the hypothesis space?

ASelect a combination of hypothesis to combine their predictions

BUse stochastic gradient descent to optimise a network.

CExtract ergodic solutions.

DTest multiple hypotheses simultaneously.

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Correct Answer: A

https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20combine%20them%20to%20use.

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.

Question No. 3

How could machine learning make a robot autonomous?

AUse OCR, optical character recognition, to read documents

BUse NLP (Natural Language Processing) to listen

CUse actuators to modify its environment

DLearn from sensor data and plan to carry out a task.

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Correct Answer: D

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. Reference:

[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'

Question No. 4

Who was the pioneer of computer programming?

ADame Wendy Hall.

BKaren Spark Jones.

CAda Lovelace.

DSophie Wilson

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Correct Answer: C

https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers

Ada Lovelace was an English mathematician and writer who is widely credited as the pioneer of computer programming. In 1842, she wrote an article in which she outlined the fundamental principles of computing, making her the first person to recognize the potential of computers and to describe algorithms that could be used to program them. Her work laid the basis for modern computing and is recognized as one of the most significant contributions to the field of computing. Reference:https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/https://www.apmg-international.com/en-gb/courses/computing-and-programming/computing-and-programming-foundation-and-certification/

Question No. 5

Human-centric trustworthy Al must be...