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?

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: 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

Limited Time Offer

25%

Off

Get Premium Artificial-Intelligence-Foundation Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Mirta

1 months 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'?

upvoted 0 times

Laura

12 days ago

B) Discourages collaboration and cross boundary communication.

upvoted 0 times

...

Aileen

13 days ago

A) Takes longer to deliver all functional requirements.

upvoted 0 times

...

Ettie

2 months 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.

upvoted 0 times

...

Pamella

2 months 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?

upvoted 0 times

Edgar

14 days ago

User 3: I think D is the biggest risk factor for failed delivery.

upvoted 0 times

...

Moon

20 days ago

User 2: Definitely, sticking to a rigid plan can really hinder progress.

upvoted 0 times

...

Melynda

24 days ago

User 1: I agree, flexibility is key for AI projects.

upvoted 0 times

...

Leah

2 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.

upvoted 0 times

Barb

25 days ago

That's why agile methodologies are better suited for AI projects.

upvoted 0 times

...

Estrella

28 days ago

Yeah, once you lock in the design, it's hard to make changes for AI projects.

upvoted 0 times

...

Avery

1 months ago

I agree, D is a big problem with the waterfall approach.

upvoted 0 times

...

Tonette

2 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.

upvoted 0 times

Lizette

27 days ago

C is crucial too, as the design phase is critical for the success of the project.

upvoted 0 times

...

Nieves

1 months ago

True, A can also be a problem because functional requirements may change over time.

upvoted 0 times

...

Hillary

1 months ago

I think B is also important because collaboration is key in AI projects.

upvoted 0 times

...

Lavonne

2 months ago

I agree, D is a major factor that can lead to failed delivery of an AI project.

upvoted 0 times

...

Arlette

3 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.

upvoted 0 times

...

Theresia

3 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.

upvoted 0 times

...

Alverta

3 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.

upvoted 0 times

...