On-demand activities

Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 980 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!

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1187 条结果
  1. 实验 精选

    Clean Up Unused and Orphaned Persistent Disks

    In this lab you will schedule a Cloud Function to identify and clean up unused and orphaned persistent disks.

  2. 实验 精选

    Securing a Cloud SQL for PostgreSQL Instance

    In this lab, you deploy a new Cloud SQL instance using a customer-managed encryption key (CMEK). You configure pgAudit to selectively record and track SQL operations performed against that instance, and then you configure and test Cloud SQL IAM database authentication.

  3. 实验 精选

    Cloud Functions:Qwik Start - 指令列

    透過這個實作研究室,您可以瞭解如何使用 Cloud Platform 指令列建立及部署 Cloud 函式。請觀看這部短片:透過 Google Cloud Functions 連線 GCP 服務及擴大服務的應用範圍。

  4. 实验 精选

    How to Use a Network Policy on Google Kubernetes Engine

    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.

  5. 实验 精选

    Configure Replication and Enable Point-in-Time-Recovery for Cloud SQL for PostgreSQL

    In this lab, you configure and test point-in-time recovery for a Cloud SQL for PostgreSQL instance.

  6. 实验 精选

    使用者身分驗證:Identity-Aware Proxy

    瞭解如何不在特別編寫程式碼的情況下,就能使用 Identity-Aware Proxy 限制特定已驗證使用者的存取權。學習如何透過 IAP 檢索使用者身分資訊。

  7. 实验 精选

    Navigate BigQuery

    Explore public datasets

  8. 实验 精选

    Using a NAT Gateway with Kubernetes Engine

    This lab shows how to define new node IP address mappings by using network address translation (NAT) gateways.

  9. 实验 精选

    Exploring Dataset Metadata Between Projects with Data Catalog

    In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

  10. 实验 精选

    Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

    In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.