20.2 - Infrastructure and Tools for Deployment
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Practice Questions
Test your understanding with targeted questions
What is the purpose of model serialization?
💡 Hint: Think about storing and retrieving models.
Name one framework used for serving TensorFlow models.
💡 Hint: Consider popular frameworks for serving models.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What format is not secure for untrusted input?
💡 Hint: Think about what serialization tool might have security risks.
True or False: Docker allows for consistent deployment of applications across different environments.
💡 Hint: Consider the main purpose of containerization.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
You have a machine learning model that you wish to deploy in a production environment. Describe the steps you would take using Docker and Kubernetes.
💡 Hint: Think about the entire flow from creation to deployment using containers.
Consider a scenario where you have deployed multiple models using various serving frameworks. Explain how you would handle updates or version changes to these models.
💡 Hint: Focus on how to automate the deployment and monitoring of updates.
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