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

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

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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This video tutorial explains how to deploy a cloud function on Google Cloud that is triggered by messages sent to a Popsub topic. It covers the setup of the development environment, the deployment process using G Cloud, and how to publish messages to Popsub. The tutorial also demonstrates how to verify the deployment and functionality of the cloud function by checking logs and ensuring messages are processed correctly.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary function of Pub/Sub in cloud services?

To store large amounts of data

To asynchronously send messages across services

To provide real-time analytics

To manage user authentication

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which programming language is used in the cloud function example?

Java

C++

Python

JavaScript

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the 'process pops up events' function?

To create a new Pub/Sub topic

To decode and display messages from Pub/Sub

To manage cloud function memory

To send messages to Pub/Sub

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the default memory allocation for a cloud function?

128 MB

256 MB

512 MB

1 GB

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens when a message is sent to the CF test topic?

The message is deleted

The message is stored in a database

The cloud function is triggered

A new cloud function is created

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What command is used to deploy the cloud function?

azure function deploy

aws lambda deploy

gcloud function deploy

kubectl apply

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you verify that the cloud function was triggered successfully?

By checking the function's code

By reviewing the deployment script

By sending another message

By examining the logs