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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/


by Christa at Jun 03, 2024, 01:46 PM

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Jolanda
3 hours 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
1 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
6 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
11 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
15 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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