Data Science Model Deployments and Cloud Computing on GCP - Lab - Deploy Python - BigQuery Application

This video tutorial guides viewers through deploying a realistic Python application on Google App Engine. It covers using BigQuery to retrieve data from public datasets, specifically focusing on the Stack Overflow dataset. The tutorial explains the application code, including Flask and BigQuery integration, and details the deployment process using gcloud. It concludes with testing the application and addressing potential errors.

What is the main purpose of the application being deployed in this video?

• To create a new database in BigQuery

• To handle POST requests and update data in BigQuery

• To accept GET requests and retrieve data from BigQuery

• To perform data analysis on local datasets

Which dataset is used in the video for querying data?

• Google Analytics

• GitHub Repositories

• Stack Overflow

• Twitter Data

What columns are of interest in the Stack Overflow dataset?

• ID, title, and body

• Answer count and comment count

• View count and vote count

• User ID and post date

Which Python library is used to handle GET requests in the application?

• Pandas

• Flask

• Requests

• Django

What is the default value for the post_ID parameter in the main function?

• 0

• None

• 10

• 1

What command is used to deploy the application on Google Cloud?

• gcloud app start

• gcloud app deploy

• gcloud app launch

• gcloud app run

What error might occur if the YAML file name is not specified during deployment?

• Syntax error

• Configuration error

• Internal server error

• File not found error