[2024] Prepare Data for ML APIs on Google Cloud: Challenge Lab GSP323

Overview
In a challenge lab you’re given a scenario and a set of tasks. Instead of following step-by-step instructions, you will use the skills learned from the labs in the course to figure out how to complete the tasks on your own! An automated scoring system (shown on this page) will provide feedback on whether you have completed your tasks correctly.

When you take a challenge lab, you will not be taught new Google Cloud concepts. You are expected to extend your learned skills, like changing default values and reading and researching error messages to fix your own mistakes.

To score 100% you must successfully complete all tasks within the time period!

This lab is recommended for students who have enrolled in the Prepare Data for ML APIs on Google Cloud skill badge. Are you ready for the challenge?

Topics tested:
Create a simple Dataproc job
Create a simple DataFlow job
Perform two Google machine learning backed API tasks

Challenge scenario
As a junior data engineer in Jooli Inc. and recently trained with Google Cloud and a number of data services you have been asked to demonstrate your newly learned skills. The team has asked you to complete the following tasks.

You are expected to have the skills and knowledge for these tasks so don’t expect step-by-step guides.
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