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This challenge lab tests your skills and knowledge from the labs in the <b>Get Started with Dataplex<b> quest. You should be familiar with the content of labs before attempting this lab.
The Cloud Security Scanner identifies security vulnerabilities in your Google App Engine web applications.
In this lab, you learn to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.
Learn to query public tables and load data into BigQuery using the Command Line Interface. Practice examining tables, running queries, and creating new tables.
In this lab you will work with advanced features of Google Cloud Security and Privacy APIs, including setting up a secure Cloud Storage bucket, managing keys and encrypted data using Key Management Storage, and viewing Cloud Storage audit logs.
Create a CI/CD pipeline that automatically builds a container image, stores the image in Artifact Registry, updates a Kubernetes manifest in a Git repository, and deploys the application to Google Kubernetes Engine.
Serverless challenge lab to assess skills based on Google Cloud Serverless developer tools. Students are required to have knowledge and experitise in the area of Cloud PubSub, Cloud Scheduler and Cloud Tasks to successfully complete the lab.
In this lab, you use AppSheet to publish your app.
Qwiklabs provides real Google Cloud environments that help developers and IT professionals learn cloud platforms and software, such as Firebase, Kubernetes and more.
In this lab you’ll learn how to classify text into categories using the Natural Language API
Create and access a Windows Server instance on Google Compute Engine using RDP, exploring virtual machine capabilities on Google's infrastructure.
In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
In this lab you will learn the basic functionality of Cloud Healthcare API using Digital Imaging and Commmuniations in Medicine (DICOM) data model.
Explore IAM custom roles in Google Cloud, from viewing permissions to creating, editing, and managing roles for fine-grained access control and resource management.
This page shows you how to create a streaming pipeline using a Google-provided Dataflow template.
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