ARC117

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!

Setup

Before you click the Start Lab button

Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources are made available to you.

This hands-on lab lets you do the lab activities in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials you use to sign in and access Google Cloud for the duration of the lab.

To complete this lab, you need:

• Access to a standard internet browser (Chrome browser recommended).

Note: Use an Incognito (recommended) or private browser window to run this lab. This prevents conflicts between your personal account and the student account, which may cause extra charges incurred to your personal account.

• Time to complete the lab—remember, once you start, you cannot pause a lab.

Note: Use only the student account for this lab. If you use a different Google Cloud account, you may incur charges to that account.

Challenge scenario

You are just starting your junior data engineer role. So far you have been helping teams create and manage Dataplex assets.

You are expected to have the skills and knowledge for these tasks.

Your challenge

You are asked to help a newly formed development team with some of their initial work on a new project. Specifically, they need to create a new Dataplex lake and organize and add aspects to assets in the new lake; you receive the following request to complete the following tasks:

• Create a lake with a raw zone.
• Create and attach a Cloud Storage bucket to the zone.
• Create an aspect type named Protected Raw Data Aspect and then add the aspect to the raw zone.

Some standards you should follow:

• Ensure that any needed APIs (such as Dataplex) are successfully enabled.
• Create all resources in the region, unless otherwise directed.

Each task is described in detail below, good luck!

Task 1. Create a lake with a raw zone

• Create a lake named Customer Engagements using the region, with a regional raw zone named Raw Event Data.

Click Check my progress to verify the objective. Create a lake with a raw zone in Dataplex

Task 2. Create and attach a Cloud Storage bucket to the zone

• Create a Cloud Storage bucket named in the region, and attach it as a regional asset named Raw Event Files to the Raw Event Data zone.

Click Check my progress to verify the objective. Create and attach a Cloud Storage bucket to the zone

Task 3. Create an aspect type and add the aspect to an asset

1. Create an aspect type named Protected Raw Data Aspect with the location set to , with an enumerated field named Protected Raw Data Flag that contains two values: Y and N.
2. Add this aspect to the zone named Raw Event Data.

Click Check my progress to verify the objective. Create and add an aspect

Congratulations!

Earn your next skill badge

This self-paced lab is part of the Get Started with Dataplex skill badge course. Completing this skill badge course earns you the badge above, to recognize your achievement. Share your badge on your resume and social platforms, and announce your accomplishment using #GoogleCloudBadge.

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Manual Last Updated August 27, 2025

Lab Last Tested August 06, 2025

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