Data Science Model Deployments and Cloud Computing on GCP - Lab - Run Docker Locally

This video tutorial guides you through creating a simple Python Flask application and running it inside a Docker container. It covers the creation of a Dockerfile, building and running a Docker image, and accessing the Docker container. The tutorial also explains the use of a slim Python base image, setting environment variables, and installing dependencies using pip. Finally, it demonstrates how to run the Flask application and access it via a web browser.

What is the purpose of the Dockerfile in a Docker project?

• To list all the Python dependencies

• To manage environment variables

• To define the steps to create a Docker image

• To store the main application code

Which base image is used in the Dockerfile for the Flask application?

• Ubuntu

• Python 3.10-slim

• Python 2.7

• Alpine Linux

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

• To configure the Flask application

• To define Docker environment variables

• To list the necessary Python packages

• To specify the Python version

What does the Flask application do when accessed?

• Says 'Hello Sid'

• Displays a list of files

• Starts a web server

• Runs a Python script

Which command is used to build the Docker image?

• docker run

• docker build

• docker start

• docker create

How can you access the running Docker container's command line?

• Using 'docker connect'

• Using 'docker attach'

• Using 'docker start'

• Using 'docker exec'

What is the purpose of port binding in Docker?

• To increase container security

• To map container ports to host ports

• To manage container resources

• To connect multiple containers