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BCS AIF Exam - 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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Dorthy
4 months ago
I disagree, A isn't as critical as the others.
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Kiley
4 months ago
C isn't great, but B is worse for team dynamics.
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Annice
4 months ago
Surprised that people overlook A, it really drags everything down!
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Phil
4 months ago
I think D is the real issue, can't adapt if you can't revise.
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Chandra
4 months ago
Definitely B, lack of collaboration kills projects.
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Josefa
5 months ago
I thought option A was significant too, but now I'm leaning towards option D since it really restricts flexibility in the project.
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Kenda
5 months ago
I feel like all these factors could lead to failure, but I vaguely recall that taking too long in the design phase (option C) can also be a big problem.
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Cherrie
5 months ago
I'm not so sure about that. I remember a practice question where option D was highlighted as a major issue because it prevents necessary adjustments.
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Helga
5 months ago
I think option B might be the right choice since the Waterfall model can really limit communication between teams.
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Muriel
5 months ago
The longer delivery time for all requirements is a concern, but I think the lack of collaboration is the biggest red flag here. AI projects need that cross-functional teamwork to be successful.
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Tawanna
5 months ago
Hmm, I'm not sure. The longer design phase could also be a big problem, since AI projects often need to be more flexible and responsive to changing requirements.
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Michel
5 months ago
I think the key factor here is the lack of collaboration and cross-boundary communication in a Waterfall approach. That's likely to be the biggest issue for an AI project, which requires a lot of iterative work and input from different teams.
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Queenie
5 months ago
I'd go with option D - discouraging revisiting and revising prior phases. That rigidity is really going to hold back an AI project, which needs to be able to adapt and iterate.
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Janine
6 months ago
Hmm, I'm a bit confused on this one. I know there's a command to save without exiting, but I can't remember the exact syntax. Maybe I should review the Vim cheat sheet before the exam.
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Maurine
6 months ago
Based on my understanding, exceptions in IBM RPA are when the script stops processing due to an issue, like the vault not being open or the server running out of memory. I think option B or D might be the best answer.
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Shawnta
11 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
9 months ago
Lorrine: Definitely, no room for going back and forth.
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Mica
9 months ago
User 3: It's important to stick to the plan in a waterfall approach.
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Lorrine
10 months ago
User 2: Yeah, once you move on, you can't go back.
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Laquanda
10 months ago
User 1: I agree, option D is the way to go.
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Gilbert
11 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
11 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
11 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
10 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
10 months ago
User 1: I think option D is the key factor for failed delivery in AI projects.
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Nilsa
11 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
11 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
11 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
11 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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