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The APMG-International Artificial-Intelligence-Foundation (Foundation Certification Artificial Intelligence) Exam is a globally recognized certification program designed to provide individuals with a comprehensive understanding of artificial intelligence (AI) concepts and principles. This exam is ideal for professionals who want to gain a deeper understanding of AI and its applications in various industries such as healthcare, finance, and technology. The exam is based on the APMG-International Artificial Intelligence syllabus, which covers a wide range of topics including machine learning, natural language processing, computer vision, and robotics.

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APMG-International Foundation Certification Artificial Intelligence Sample Questions (Q28-Q33):

NEW QUESTION # 28
From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean?

A. Al agents will behave as humans.B. Al systems will be human-centricC. Robots will have freewill.D. Al systems will preserve human agency.

Answer: D

Explanation:
Explanation
The Principle of Autonomy from the ELL's ethics guidelines for Al states that Al systems should be designed in a way that preserves human agency and responsibility. This means that Al systems should be designed in a way that allows humans to remain in control of their decisions, and that the Al system should not be able to act without human input or permission. 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 # 29
Collaboration, learning and iterative are terms used to describe what?

A. Rapid software development.B. Trustworthy Al.C. Waterfall projects.D. Agile projects

Answer: D

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 # 30
What does TRL stand for?

A. Technology Readiness Level.B. Transport Ready Level.C. Transform Reinforced LearningD. Technical Robotic Level.

Answer: A

Explanation:
Explanation
Technology Readiness Level (TRL) Technology Readiness Levels (TRL) are a method of estimating the technology maturity of Critical Technology Elements (CTE) of a program during the acquisition process.
https://acqnotes.com/acqnote/tasks/technology-readiness-level#:~:text=Technology%20Development-,Technolog TRL stands for Technology Readiness Level and is a measure of how close a technology is to being ready for use in a real-world environment. TRL is used to assess the progress of research and development of a technology, ranging from basic research (TRL 1) to fully operational (TRL 9). TRL is used to help determine the level of completion of a technology and its potential success in a real-world environment.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international

NEW QUESTION # 31
Human-centric trustworthy Al must be...

A. quality assurance certified.B. continually assessed and monitored.C. tested by humans.D. financially sustainable.

Answer: B

Explanation:
Explanation
Human-centric trustworthy Al must be continually assessed and monitored in order to ensure that it is behaving in a safe and ethical manner. This includes conducting regular tests and audits to ensure that the Al is functioning as intended, and is not taking any actions or decisions that could potentially harm humans or their environment. 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 # 32
Splitting data into Training and Test data sets is part of what?

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

Answer: C

Explanation:
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/

NEW QUESTION # 33
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