Practice Model Registry (20.3.2) - Deployment and Monitoring of Machine Learning Models

Practice: Model Registry

Lesson 20.3.2Deployment and Monitoring of Machine Learning Models

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10 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is a Model Registry?
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Think about where models are stored and organized.
Question 2.
Why is metadata important in a Model Registry?
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What information guides us about each model's quality?
3Question 3.
What is the primary function of a Model Registry?
- To train models
- To store model versions and metadata
- To test models
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Consider what happens after a model is trained.
4Question 4.
True or False: Metadata includes information only about model accuracy.
- True
- False
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What else could be important for a model's context?
Question 5.
Create a detailed flowchart illustrating the process of using a Model Registry from model training to production deployment.
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Break down each step logically as you would in a project outline.
Question 6.
Devise a strategy for monitoring model performance over time, considering how a Model Registry can assist.
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Think about why monitoring is crucial for sustaining model efficacy.

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