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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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This challenge lab tests your skills and knowledge from the labs in the <b>Get Started with Cloud Storage</b> quest. You should be familiar with the content of labs before attempting this lab.
Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on-premise hardware. This lab provides a quick introduction to running a MongoDB database on Kubernetes Engine using Docker.
This hands-on lab shows you how to perform basic tasks in Cloud Storage using the Google Cloud Console. Watch the short video <A HREF="https://youtu.be/081hh6EzlTk">Google Cloud Storage: Massive Scalability Plus More</A>.
Learn to deploy and scale a Node.js app on Kubernetes, from creating a Docker container to managing external traffic and rolling out upgrades in this hands-on Google lab.
In this lab, you will learn how to validate policies for Terraform.
Pub/Sub Lite is a zonal service for messaging systems with predictable traffic patterns. In this lab you will create Lite topics and Lite subscriptions, then send and receive messages using the Pub/Sub Lite client library for Python.
In this lab, we will walk through deploying a sample application and enforcing the access restriction capabilities using Identity-Aware Proxy.
Finding specific content in large spreadsheets can be tricky. Learn to manipulate, search and substitute values in Google Sheets using features and functions like VLOOKUP, SUBSTITUTE and QUERY.
In this lab, you create a virtual machine (VM) to host an EOSIO blockchain.
In this lab you will schedule a Cloud Function to identify and clean up unused IP addresses.
In this hands-on lab, you will use Apps Script to call the Natural Language API from Google Docs to analyze the sentiment of selected text in the document.
In this lab you create a computer vision model that can recognize items of clothing and then explore what affects the training model.
In this lab, you will learn how to build a binary classification model from tabular data using Vertex AI.
Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.
This challenge lab tests your skills and knowledge from the labs in the <b>Create a Secure Data Lake on Cloud Storage<b> quest. You should be familiar with the content of labs before attempting this lab.
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