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A company builds a canvas app that processes images submitted by users and must classify them using an existing AI Builder model.
The app must generate predictions during user interaction.
You need to consume the AI model natively.
What should you do?
Suggested Answer: A
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16 comments · newest first
ST
Stefanie
20 hours ago
For now, A is the way to go.
CH
Chandra
6 days ago
Still, C could be a long-term solution.
KA
Kanisha
11 days ago
Exactly, A keeps it simple and efficient.
ST
Stefanie
16 days ago
True, but we need immediate results during interaction.
CH
Chandra
22 days ago
But what about C? Refining the model could improve accuracy.
KA
Kanisha
27 days ago
I agree, A makes sense. It allows real-time predictions.
ST
Stefanie
1 month ago
I think A is the best choice. Power Fx is designed for this.
BE
Bernardo
1 month ago
C might work, but refining takes time, not sure it's the best choice here.
AD
Adell
1 month ago
Wait, can you really invoke it natively like that?
KA
Kanisha
2 months ago
B seems like a bad idea, why replace the model?
BO
Bong
2 months ago
Totally agree, that's the most efficient method!
VI
Viola
2 months ago
A) Invoke the model by using Power Fx is the way to go!
RO
Rose
2 months ago
Exporting the solution sounds familiar, but I think that’s more about sharing the model rather than consuming it natively, so I’m not sure it’s D either.
ED
Edelmira
2 months ago
I remember a practice question where we had to refine a model, but that was more about improving accuracy, not about using it in the app. So I’m leaning away from C.
TA
Tamar
2 months ago
I'm not entirely sure, but replacing the model with a static formula seems like it wouldn't work for dynamic predictions, so I doubt it's B.
DI
Dick
3 months ago
I think we talked about using Power Fx to invoke models directly in the app, so maybe A is the right choice?