Data Science Model Deployments and Cloud Computing on GCP - Introduction

The video tutorial introduces Google Cloud Functions, a serverless execution environment for building and connecting cloud services. It explains that Cloud Functions allow you to write single-purpose functions that respond to events from cloud infrastructure, eliminating the need for over-provisioned servers. The tutorial highlights the stateless nature and automatic scalability of Cloud Functions, emphasizing their short execution time. It also covers various use cases, including microservices, data processing, and IoT applications. The session concludes with a preview of a lab session to create a Cloud Function in Python.

What are Cloud Functions and how do they operate?

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Explain the concept of 'function as a service' (FaaS) in the context of Cloud Functions.

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How do Cloud Functions handle scaling and state management?

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What are some use cases for Cloud Functions mentioned in the text?

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Describe how Cloud Functions can be utilized in IoT applications.

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