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

Test your understanding with targeted questions related to the topic.

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?

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

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?

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation