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?

ATakes longer to deliver all functional requirements.

BDiscourages collaboration and cross boundary communication.

CTakes longer to complete the design phase of the project.

DDiscourages revisiting and revising any prior phase once it is complete.

Show Suggested Answer

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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Shawnta

2 months 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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Daniela

13 days ago

Lorrine: Definitely, no room for going back and forth.

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Mica

15 days ago

User 3: It's important to stick to the plan in a waterfall approach.

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Lorrine

1 months ago

User 2: Yeah, once you move on, you can't go back.

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Laquanda

1 months ago

User 1: I agree, option D is the way to go.

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Gilbert

2 months 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

2 months 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

2 months 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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Wynell

1 months ago

User 2: I agree, once a phase is complete, it's hard to go back and make changes.

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Carlene

1 months ago

User 1: I think option D is the key factor for failed delivery in AI projects.

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Nilsa

2 months 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

2 months 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

2 months 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

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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