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BCS Exam AIF Topic 5 Question 38 Discussion

Actual exam question for BCS's AIF exam
Question #: 38
Topic #: 5
[All AIF 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: D

Healthcare can benefit from AI, and in particular Machine Learning, in a number of ways. One example is diagnostic image analysis, which can help to automatically identify and classify abnormalities in medical images such as X-rays, CT scans, and MRI scans. Machine Learning algorithms can be used to detect patterns in the data which can be used to accurately diagnose diseases and illnesses.

References: [1]https://www.bcs.org/upload/pdf/foundation-certificate-ai-syllabus-v1.pdf[2]https://www.apmg-international.com/en/qualifications-and-certifications/bc-foundation-certificate-in-artificial-intelligence/[3]https://www.exin.com/en/certifications/bc-foundation-certificate-in-artificial-intelligence/[4]https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859976/


Contribute your Thoughts:

Shawnta
6 days ago
Trying to use a waterfall approach for an AI project is like trying to herd cats. Option D is the only sane choice.
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Gilbert
7 days ago
Waterfall and AI? Might as well try to teach a dog how to do calculus. Option D is the only way to go, my friends.
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Clay
8 days ago
Waterfall and AI? That's like putting a square peg in a round hole. Option D is the only sensible choice here.
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Jolanda
10 days ago
I agree, the waterfall model's rigid nature is not well-suited for the iterative nature of AI development. Option D is the way to go.
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Nilsa
11 days ago
The waterfall approach's lack of flexibility and inability to revisit prior phases is definitely the biggest issue for an AI project. Option D is the clear winner here.
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Melissa
16 days ago
That's a good point, Cheryll. Collaboration is key in any project, especially in AI where different expertise is needed.
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Cheryll
21 days ago
I disagree, I believe it's B) Discourages collaboration and cross boundary communication. Without proper communication, the project can easily go off track.
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Melissa
25 days 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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