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Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Introduction to Graphic Illustration
The Science of Gastronomy
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In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.
In this lab you learn how to improve the security of your Kubernetes Engine by applying fine-grained restrictions to limit intra-cluster network communication.
In this hands-on-lab you will create infrastructure, a virtual machine, using Terraform in the cloud environment.
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 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.
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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