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APMG-International Certification
Artificial-Intelligence-Foundation Exam
APMG-International.Artificial-Intelligence-Foundation.v2023-07-17.q13 Dumps

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Question 6

Splitting data into Training and Test data sets is part of what?

A.Machine learning data preparation.
B.Batch learning.
C.Machine learning post processing.
D.High performance computing strategy.

Correct Answer: A

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/

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Question 7

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.Big Data learning.
C.Patchwork learning.
D.Online learning.

Correct Answer: D

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).

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Question 8

The EU's Ethical Guidelines use what to demonstrate trustworthy Al?

A.A quality assurance plan.
B.UN's sustainability goals.
C.Customer feedback.
D.A human-centric value system.

Correct Answer: D

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.

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Question 9

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

Correct 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%20power TensorFlow is an open source machine learning library created by Google. It is used for dataflow programming and is widely used for a variety of applications, including machine learning and deep learning.
TensorFlow enables developers to build, train and deploy machine learning models easily and quickly. It has built-in support for a variety of deep learning frameworks, such as convolutional neural networks, recurrent neural networks, and autoencoders.
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).

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Question 10

What is one of the MAIN contributions of Al to the rapid development of The Fourth Industrial Revolution?

A.Enhanced design.
B.Automation
C.Big Data
D.Al personal assistants.

Correct Answer: B

Explanation
https://research.com/careers/what-is-the-fourth-industrial-revolution
Artificial Intelligence (AI) is playing a major role in the rapid development of the Fourth Industrial Revolution. AI technologies are enabling the automation of many processes that were previously carried out by humans or machines, which has greatly increased the speed, efficiency, and accuracy of these processes.
Automation is one of the main contributions of AI to the Fourth Industrial Revolution, as it has greatly increased the productivity of businesses and industries, while reducing the cost of production and improving the quality of products.
References: https://www.bcs.org/more/certifications/foundation-certificate-in-artificial-intelligence/ https://www

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