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This challenge lab tests your skills and knowledge from the labs in the <b>Secure BigLake Data<b> quest. You should be familiar with the content of labs before attempting this lab.
Deploy a document-processing solution with Google Cloud Document AI and a Cloud Function in a timed challenge lab.
In this lab you perform several key tasks when using an AlloyDB for PostgreSQL database.
This lab shows you how to get started with tagging Dataplex assets to support data governance and discovery.
Let's introduce tcpdump and some of its features. We'll cover how to use tcpdump and what some of its flags do, as well as how to interpret the output. We will also practice saving packet captures to files and reading them back.
Internal Load Balancer offers you the possibility to load balance TCP/UDP traffic without exposing your VMs via a public IP to the Internet. In this lab we will create a public facing web server to serve the result of a simple web application.
In this lab you'll learn how to use BigQuery to create machine learning models for datasets to create a model that predicts whether a visitor will make a transaction.
In this lab you perform basic administrative tasks within a Cloud Spanner instance.
Learn how to build a BI dashboard with Looker Studio as the front end, powered by BigQuery on the back end
In this lab you will learn how to deploy a basic day-to-day scenario with CloudGuard in place
In this lab, students will be introduced to the key activities involved in deploying GCP network resources involved in building an “SAP Landing Zone”.
This challenge lab tests your skills and knowledge from the labs in the <b>Analyze Speech & Language with Google APIs<b> quest. You should be familiar with the content of labs before attempting this lab.
Hands-on lab that deploys an Nginx web server stack from Google Cloud Marketplace in a few clicks and verifies the running deployment.
Timed challenge lab: deploy exported Visual Inspection AI cosmetic and assembly inspection artifacts, then use them to flag defective versus non-defective product images.
In this lab, you use convolutions to recognize features in an image where the subject can be anywhere in the image!
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