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In this lab you will create a simple Elasticsearch deployment leveraging Google Cloud Platform.
Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.
In this lab, you'll create your own ERC-20 token and deploy it on the Polygon Testnet.
In this lab you will learn the basic functionalities of Cloud Healthcare API using the Fast Healthcare Interoperability (FHIR) data model.
This lab will challenge you to create a CI/CD pipeline, deploy an application to GKE, and rollback that deployment.
Configure an HTTP Load Balancer with global backends, stress test the Load Balancer, and add a Cloud Armor rate limiting policy to restrict based on IP.
In this lab, you will enhance the online Quiz application to use Firebase authentication.
In this lab, you will learn how to use the Cloud Operations Tracing and Profiler tools to diagnose and correct application latencies.
Learn how to create a simple Google Chat bot—"Attendance Bot"—using Google Apps Script. The bot integrates with Gmail to set a user's vacation responder and integrates with Calendar to put a meeting on the user's calendar.
Configure a Linux Google Compute Engine instance that installs an Apache web server software using a remote startup script, then confirm that Apache has successfully installed.
In this challenge lab you demonstrate your knowledge of Cloud Spanner that you learned from the Create and Manage Cloud Spanner Databases quest.
In this lab, you will examine how Dataprep can be used on complicated data structures in BigQuery.
Use Generative AI Studio to create prompts and conversations
Learn to build ETL pipelines using Cloud Data Fusion's Pipeline Studio. Create, configure, and test batch pipelines with built-in plugins and data transformations.
Use GO (golang) to deploy an app on App Engine, Cloud Run, and Cloud Functions using Cloud Build
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