Data Science Model Deployments and Cloud Computing on GCP - Lab - Implement Caching Mechanism in Python Application - Pa

This video tutorial covers deploying an application using Memcache on Google App Engine. It explains the folder structure, key files, and dependencies required for the application. The tutorial details the flow of the application, focusing on caching mechanisms and data handling using Memcache and Datastore. It also covers rendering HTML files and deploying the application using gcloud.

What are the two types of storage classes offered by Memcache?

• Shared and Dedicated

• Public and Private

• Local and Global

• Temporary and Permanent

Which file contains the dependencies required for the application?

• YAML file

• Python file

• index.html

• requirements.txt

What is the purpose of the App Engine APIs parameter in the YAML file?

• To enable debugging

• To allow the application to use App Engine specific modules

• To increase application speed

• To reduce memory usage

What is the first step when a post ID is received in the application?

• Send it to the client

• Store it in the database

• Check if data exists in memcache for that post ID

• Convert it to an integer

What is the role of the timestamp in the caching process?

• To identify the user

• To order records by their creation time

• To encrypt the data

• To calculate the cache size

How long is the cache data available before it is cleared out?

• 30 minutes

• 24 hours

• 1 hour

• 2 hours

What command is used to deploy the application?

• gcloud app start

• gcloud app deploy

• gcloud app run

• gcloud app launch