On-Demand-Aktivitäten
Hier finden Sie die für Sie richtigen On-Demand-Lernaktivitäten. Labs sind kurze Lernaktivitäten, in denen Ihnen über einen direkten, temporären, praxisorientierten Zugriff auf echte Cloud-Ressourcen spezifische Inhalte vermittelt werden. Kurse sind längere Aktivitäten, die aus mehreren Modulen mit Videos, Dokumenten, praxisorientierten Labs und Quizaufgaben bestehen. Aufgabenreihen sind ähnlich, aber in der Regel kürzer und enthalten nur Labs.
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Lab Tipp Bot Management with Google Cloud Armor and reCAPTCHA
Use Google Cloud Armor bot management to mitigate bot risk and to control access from automated clients
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Lab Tipp App Engine: Qwik Start - Java
This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.
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Lab Tipp Serverless Data Processing with Dataflow - Advanced Streaming Analytics Pipeline with Dataflow (Java)
In this lab you read deal with late and malformed streaming data using advanced Apache Beam concepts.
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Lab Tipp Configure Managed Guest Sessions and Deploy Digital Signage App on ChromeOS
Create OUs, set up managed guest session settings for different OUs, set up a kiosk app on ChromeOS and install a virtual desktop solution (Citrix workspace).
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Lab Tipp Use Cloud Run Functions to Load BigQuery
This hands-on lab shows you how to use Cloud Run functions to load data into BigQuery.
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Lab Tipp Automating the Deployment of Networks with Terraform
In this lab, you create a Terraform configuration with a module to automate the deployment of a custom network with resources.
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Lab Tipp Getting Started with Firebase Email Authentication
In this hands-on lab, you will learn how to develop email authentication using the Firebase product suite.
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Lab Tipp Develop an App with Vertex AI Gemini 1.0 Pro
In this lab, you develop an app using the Streamlit framework with Vertex AI's Gemini API, and deploy the app to Cloud Run.
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Lab Tipp Assessing Data Quality with Dataplex
This lab shows you how to assess data quality using Dataplex.