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APMG-International Exam Artificial-Intelligence-Foundation Topic 1 Question 16 Discussion

Actual exam question for APMG-International's Artificial-Intelligence-Foundation exam
Question #: 16
Topic #: 1
[All Artificial-Intelligence-Foundation Questions]

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

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Suggested Answer: A

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.


by Leontine at Nov 17, 2024, 05:23 PM

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Mirta
14 days ago
This is a no-brainer. The waterfall model is about as far away from an agile, iterative AI approach as you can get. D is the answer, hands down. Now, who wants to play a game of 'Guess the Hyperparameter'?
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Ettie
19 days ago
A) Takes longer to deliver all functional requirements? Pfft, with an AI project, you're never really 'done' anyway. D is the clear winner here. Waterfall and AI just don't mix.
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Pamella
24 days ago
Hmm, I was leaning towards B, but D makes a lot of sense. The lack of collaboration and revisions is a killer for an AI project. Gotta keep that flexibility, you know?
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Leah
1 months ago
The waterfall model is way too rigid for an AI project. D is definitely the right answer here. You can't just lock in the design and expect it to work for a complex AI system.
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Estrella
13 hours ago
Yeah, once you lock in the design, it's hard to make changes for AI projects.
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Avery
7 days ago
I agree, D is a big problem with the waterfall approach.
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Tonette
1 months ago
I think the correct answer is D. The waterfall approach discourages revisiting and revising any prior phase once it is complete, which can be detrimental for an AI project that requires an iterative and flexible approach.
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Nieves
13 days ago
True, A can also be a problem because functional requirements may change over time.
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Hillary
15 days ago
I think B is also important because collaboration is key in AI projects.
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Lavonne
23 days ago
I agree, D is a major factor that can lead to failed delivery of an AI project.
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Arlette
2 months ago
But what about A) Takes longer to deliver all functional requirements? If we take too long to deliver, the project might become outdated before it's even completed.
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Theresia
2 months ago
I agree with Alverta. If we can't go back and make changes as needed, it could lead to major issues down the line.
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Alverta
2 months ago
I think the factor that is most likely to result in the failed delivery of an AI project is D) Discourages revisiting and revising any prior phase once it is complete.
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