Practice Deployment (1.4.7) - Introduction to Data Science - Data Science Basic

Practice: Deployment

Lesson 1.4.7Introduction to Data Science

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10 questions

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3 cards from this section. Quick, good the night before a test.
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Quiz
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6 sample questions

Question 1.
What is deployment in data science?
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Think about the purpose of making data science models practical.
Question 2.
Name one way a model can be deployed.
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Consider common tech interfaces we use regularly.
3Question 3.
What is the purpose of deployment in data science?
- To train the model
- To make the model available to users
- To analyze data
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Think about how insights are shared with stakeholders.
4Question 4.
True or False: Monitoring is unnecessary after a model is deployed.
- True
- False
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Consider what might happen if parameters change.
Question 5.
Consider a healthcare model that predicts disease outbreaks. How would data drift over time affect its predictions, and what measures can be implemented for its maintenance post-deployment?
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Think about how historical data may differ from current realities.
Question 6.
Describe how you would deploy a customer segmentation model for an e-commerce platform. Outline the xpected user interactions and monitoring strategies post-deployment.
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Consider what users might want to achieve with the tool.

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