Three Formats of Latest APMG-International Artificial-Intelligence-Foundation Practice Material by dojimof817 dojimof817

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The APMG-International Artificial-Intelligence-Foundation Certification Exam is an excellent way for individuals to gain a solid understanding of AI and its applications. It is a globally recognized certification that can open up a wide range of career opportunities in various industries. Whether you are a student, a professional, or a business owner, this certification can help you stay updated with the latest developments in AI and stay ahead of the competition.

The APMG-International Artificial-Intelligence-Foundation Exam covers various topics related to AI, including machine learning, natural language processing, robotics, and cognitive computing. The exam is designed to test the candidate's understanding of AI concepts and their ability to apply them to real-world scenarios. It also focuses on the ethical and social implications of AI, ensuring that candidates are aware of the potential impact of AI on society and the need to develop responsible AI solutions.

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The exam consists of multiple-choice questions that measure your knowledge of AI concepts and principles. The exam is designed to assess your ability to apply your knowledge to real-world scenarios, and to identify and solve problems related to AI. The exam is timed and you will have a limited amount of time to complete it. You will need to score a minimum of 65% to pass the exam and obtain your certification.

APMG-International Foundation Certification Artificial Intelligence Sample Questions (Q10-Q15):

NEW QUESTION # 10
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?

A. Leisure activitiesB. Change jobs.C. Higher value work.D. Sabotage the Al.

Answer: C

Explanation:
Explanation
Al is designed to take on routine and monotonous tasks, freeing up humans to take on more complex, higher value work. This can include tasks such as research, problem-solving, and decision-making. This shift in work roles is expected to increase productivity and efficiency, allowing humans to focus on more creative and innovative tasks. For example, robots can be used to automate mundane manufacturing processes, freeing up human workers to take on jobs that require more creative thinking and problem-solving.
References:
[1] https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf [2] https://www.apmg-international

NEW QUESTION # 11
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?

A. NLP - Natural Language Processing.B. Conscious simul-ation.C. Conscious integration.D. Artificial General Al.

Answer: A

Explanation:
Explanation
NLP - Natural Language Processing is an example of narrow AI. It is a type of AI system that is able to understand, interpret, and generate natural language. NLP has become increasingly popular over the past few years, as it has been used to create applications such as chatbots, virtual assistants, and search engines. NLP systems are able to learn language and the context in which it is used, and they are able to understand the nuances of language and its different meanings. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/

NEW QUESTION # 12
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 collaboration and cross boundary communication.C. Takes longer to deliver all functional requirements.D. Discourages revisiting and revising any prior phase once it is complete.

Answer: D

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 # 13
How could machine learning make a robot autonomous?

A. Use OCR, optical character recognition, to read documentsB. Use NLP (Natural Language Processing) to listenC. Use actuators to modify its environmentD. Learn from sensor data and plan to carry out a task.

Answer: D

Explanation:
Explanation
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. References:
[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"

NEW QUESTION # 14
Which of the following is an advantage of a machine based system?

A. Able to judge ambiguous and unknown situations.B. Can explain the output of an Al systemC. Capable of sympathising with humans.D. Undertakes monotonous tasks reliably and accurately.

Answer: D

Explanation:
Explanation
One of the main advantages of a machine-based system is its ability to reliably and accurately undertake monotonous and repetitive tasks. This is especially useful for tasks that require a high level of accuracy and precision, such as data entry or analysis. Machine-based systems are also able to process large amounts of data quickly, meaning that they are able to complete tasks more quickly and efficiently than humans. Additionally, machine-based systems can be programmed to take certain decisions and actions based on the input data, allowing them to automate certain processes without the need for human intervention. References:
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI Systems, Chapter 8.
* https://www.apmg-international.com/en/al-adoption/advantages-of-al/

NEW QUESTION # 15
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