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PMI-CPMAI Exam - Topic 4 Question 4 Discussion

Actual exam question for PMI's PMI-CPMAI exam
Question #: 4
Topic #: 4
[All PMI-CPMAI Questions]

A team needs to identify which parts of the project they are working on will require AI and which will not. In addition, they need to determine technology and data requirements.

Which method should be used?

Show Suggested Answer Hide Answer
Suggested Answer: C

PMI-CPMAI describes a very practical early-stage activity: breaking down a solution into components or sub-functions and then deciding which components actually require AI and which do not. This is often referred to as a components-based analysis. The idea is to decompose the overall workflow or product into units such as data ingestion, preprocessing, prediction, rule-based decisioning, user interface, reporting, and integration layers.

For each component, the team asks:

Does this require cognitive capability (learning from data, pattern recognition, probabilistic reasoning)?

Or can it be handled by conventional software, rules, or existing systems?

At the same time, they identify technology and data requirements: data sources, data quality, storage, pipelines, compute needs, and integration points for each AI-relevant component. PMI-CPMAI ties this directly into later tasks such as technical feasibility, architecture design, and MLOps planning.

Detailed data mapping (option A) is useful but focuses mainly on information flows, not necessarily on AI vs non-AI partitioning. Technical feasibility assessment (option B) evaluates whether a proposed AI approach is realistic but presumes that the AI portions are already identified. Only components-based analysis (option C) simultaneously answers ''which parts need AI, which do not, and what are the tech/data needs for each?'', which matches the scenario precisely.


Contribute your Thoughts:

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C seems too broad. Components-based analysis might miss specifics.
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Oliva
5 days ago
I agree, but B could also work. Feasibility is key.
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Leatha
10 days ago
I think A is the best choice. Detailed data mapping is crucial.
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Gilberto
15 days ago
I’m not sure if feasibility is enough; we need to consider all aspects.
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Meghan
21 days ago
Wait, why not just use detailed data mapping? Seems simpler.
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Amina
26 days ago
Isn't components-based analysis more thorough?
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Jackie
1 month ago
Definitely agree with that!
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Fidelia
1 month ago
Option B all the way! Technical feasibility is the key to unlocking the AI potential in this project.
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Kenda
2 months ago
I'm going with option B. It's the most comprehensive approach to tackle this problem.
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Elli
2 months ago
Detailed data mapping (option A) seems like overkill for this task. Technical feasibility assessment is the way to go.
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Marylyn
2 months ago
Components-based analysis (option C) sounds like a good approach to identify which parts of the project will require AI.
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Noel
2 months ago
I feel like the technical feasibility assessment could help us understand both the technology and data needs, but I need to double-check my notes.
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Leandro
3 months ago
Components-based analysis sounds familiar, but I can't recall if it specifically helps with determining AI requirements.
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Margurite
3 months ago
I remember practicing a question similar to this, and I think detailed data mapping was emphasized for identifying data needs.
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Dorothy
3 months ago
I think a technical feasibility assessment might be the right choice, but I'm not entirely sure how it compares to the other options.
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Micah
3 months ago
The components-based analysis could work, but I'm worried it might take too much time. If we can get a quick technical feasibility assessment done first, that might give us the insights we need to identify the AI requirements more efficiently.
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Irene
3 months ago
Detailed data mapping seems like overkill for this task. We're not trying to analyze all the data, just figure out the technology needs. I'd go with the technical feasibility assessment.
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Tamra
4 months ago
I'm a bit confused on this one. Do we need to do a full components-based analysis, or can we just focus on the areas that might require AI? I'm not sure which method would be most efficient.
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Dorathy
4 months ago
I think a technical feasibility assessment would be the best approach here. We need to really understand the technical requirements and capabilities before we can determine which parts need AI.
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Cammy
4 months ago
I think a technical feasibility assessment makes the most sense.
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Rasheeda
4 months ago
I think option B is the way to go. Technical feasibility assessment will help them determine the technology and data requirements.
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Francoise
4 months ago
I agree, option B makes sense. It’s crucial to assess feasibility first.
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