Data Science Model Deployments and Cloud Computing on GCP - Lab - Deploy Python Application Using Cloud Storage Triggers

This video tutorial guides you through developing and deploying a Python application using Google Cloud Functions. The app is triggered by uploading a CSV file to a Google Cloud Storage bucket, which then ingests the data into BigQuery. The tutorial covers setting up the environment, configuring the project, deploying the function, and testing it. Key tools and services include Event ARC, Functions Framework, and various GCP APIs.

What is the primary purpose of using Event ARC in this Cloud Function setup?

• To manage user authentication in GCP

• To store CSV files in a GCS bucket

• To trigger Cloud Functions upon specific events

• To synchronize data between different GCP services

Which APIs need to be enabled for deploying the Cloud Function?

• Cloud Build, Cloud SQL, Cloud Run, Cloud Storage

• Cloud Function, Cloud SQL, Event ARC, Cloud Storage

• Cloud Storage, Cloud SQL, Cloud Pub/Sub, Cloud Run

• Cloud Function, Cloud Build, Event ARC, Cloud Run Admin

What is the purpose of the 'pops up publisher' role in the setup?

• To enable API access for the service account

• To publish messages to Cloud Pub/Sub

• To manage user access to the GCP project

• To store data in BigQuery

What is the role of the Functions Framework in the Python script?

• It allows writing lightweight functions for various environments

• It manages API keys and authentication

• It provides a user interface for Cloud Functions

• It handles data storage in BigQuery

Which command is used to deploy the Cloud Function?

• gcloud storage deploy

• gcloud compute deploy

• gcloud app deploy

• gcloud functions deploy

What is the significance of the 'entry point' parameter in the deploy command?

• It defines the function to be invoked

• It specifies the location of the CSV file

• It sets the runtime environment

• It determines the region for deployment

What does the 'V1 finalized' event filter signify in the context of Cloud Functions?

• It triggers the function when a file is moved

• It triggers the function when a file is renamed

• It triggers the function when a file is uploaded or overwritten

• It triggers the function when a file is deleted

How can you verify that the Cloud Function has been deployed successfully?

• By receiving an email notification

• By viewing the function logs in the GCP console

• By checking the GCP billing account

• By running a test script locally

What happens when a CSV file is uploaded to the GCS bucket?

• The file is converted to JSON format

• The file is moved to a different bucket

• The Cloud Function is triggered to process the file

• The file is automatically deleted

Which command is used to upload a CSV file to the GCS bucket for testing?

• gcloud file push

• gcloud storage upload

• gsutil cp

• gsutil upload