A team has a limited budget and needs to deploy a model on edge devices with low computational power. Which practical constraint is most important when ranking algorithms?

The brand of the cloud provider

Model complexity and inference speed

The number of developers in the team

The color of the model's documentation

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Domain 1Objective 2

Objective 1.2 Analyze the Use Cases of ML Algorithms to Rank Them by Their Success Probability AIP-210 Practice Questions (Page 6)

Part of the 1.0 Understanding the Artificial Intelligence Problem domain, which accounts for 26% of the AIP-210 exam.

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Questions 26–26

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A team has a limited budget and needs to deploy a model on edge devices with low computational power. Which practical constraint is most important when ranking algorithms?
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Objective 1.2 Analyze the Use Cases of ML Algorithms to Rank Them by Their Success Probability AIP-210 Practice Questions (Page 6)

Questions 26–26

A team has a limited budget and needs to deploy a model on edge devices with low computational power. Which practical constraint is most important when ranking algorithms?

Keep studying — 1.0 Understanding the Artificial Intelligence Problem