Data Science Model Deployments and Cloud Computing on GCP - Lab – Use Case Deployment - Part-1

The video tutorial covers setting up a cloud function using Google Cloud Datastore. It explains the project structure, focusing on the main.py script, which handles message-triggered events. The tutorial details deploying the function with gcloud and demonstrates publishing messages to a topic, showing how data is managed in Datastore. The video concludes with a preview of retrieving data using Python in future lessons.

What is the significance of the 'requirements.txt' file in the project?

How does the cloud function handle the JSON payload received from the topic?

What are the attributes stored in the datastore entity for the wishlist?

What happens if a product is removed from the wishlist in terms of datastore updates?