Practice Model Deployment And Scalability (4.3.2) - Design Methodologies for AI Applications

Practice: Model Deployment and Scalability

Lesson 4.3.2Design Methodologies for AI Applications

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8 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
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6 sample questions

Question 1.
What is model serving?
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Think about how apps connect to services.
Question 2.
Name one advantage of deploying AI models on the cloud.
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Consider how busy websites manage traffic.
3Question 3.
What do model serving frameworks like TensorFlow Serving allow?
- They convert models to visual formats
- They deploy models via APIs
- They only function locally
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Think about how different apps can use AI models.
4Question 4.
Is it advantageous to deploy AI models in cloud environments?
- True
- False
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Consider how many users can affect resource needs.
Question 5.
Design a cloud-based deployment plan for a social media app that uses AI to suggest friends to users. Consider resource allocation and scalability factors.
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Think about how a friend suggestion feature might change based on user activity.
Question 6.
Evaluate the potential challenges that might arise when deploying an AI model for real-time fraud detection in financial transactions.
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Consider how immediate actions are needed in fraud cases and what that requires from a system.

4 more questions in this section. Enroll free to practise them all.