Fundamental Labs 10H 10M 64 Credits
This fundamental-level quest is unique amongst the other Qwiklabs offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Associate Cloud Engineer Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your GCP knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
In this hands-on lab, you'll learn how setup both network load balancers and HTTP load balancers for your application running in Google Compute Engine virtual machines. Watch the short preview Set Up Network & HTTP Load Balancers, GCP Essentials.
In this lab you will learn how to perform basic networking tasks on Google Cloud Platform by setting up a network and 3 subnetworks; and how GCP might differ from an on-premises setup.
Properly secured networks control connections and access into, out of, and among your resources. In this lab, you will practice deploying Networks and Subnetworks in two different GCP projects and multiple instances within the Google Cloud.
In this lab you'll 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.
In this lab you will learn how to: Provision a complete Kubernetes cluster using Google Container Engine; Deploy and manage Docker containers using kubectl; and Break an application into microservices using Kubernetes’ Deployments and Services.
This lab shows you how to monitor a Google Compute Engine virtual machine (VM) instance with Stackdriver. Watch the short videos Monitor Health of All Your Cloud Apps with Google Stackdriver and Monitor a VM Instance with Stackdriver, GCP Essentials.
In this lab, you'll tour some of the unique Stackdriver features enabling you to monitor and troubleshoot your applications with production debugging, API call tracing, and dynamically-added logpoints.
In this lab you will launch a service using Deployment Manager, and monitor it using Stackdriver. You will set up basic black box monitoring with Stackdriver Dashboard and establish uptime check alert notification to trigger incident response.
Create a Kubernetes Engine cluster, deploy an application, and use Spinnaker to continuously deploy the application when changes are made to the application.