Practice Model Registry - 20.3.2 | 20. Deployment and Monitoring of Machine Learning Models | Data Science Advance
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Model Registry

20.3.2 - Model Registry

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a Model Registry?

💡 Hint: Think about where models are stored and organized.

Question 2 Easy

Why is metadata important in a Model Registry?

💡 Hint: What information guides us about each model's quality?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary function of a Model Registry?

To train models
To store model versions and metadata
To test models

💡 Hint: Consider what happens after a model is trained.

Question 2

True or False: Metadata includes information only about model accuracy.

True
False

💡 Hint: What else could be important for a model's context?

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a detailed flowchart illustrating the process of using a Model Registry from model training to production deployment.

💡 Hint: Break down each step logically as you would in a project outline.

Challenge 2 Hard

Devise a strategy for monitoring model performance over time, considering how a Model Registry can assist.

💡 Hint: Think about why monitoring is crucial for sustaining model efficacy.

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