按照您自己的方式探索 Google Cloud 培训。

Google Cloud 提供 980 多项学习活动供您选择,我们设计的目录完整全面,充分考虑了您的需求。该目录包含各种可供您选择的活动形式,既有简短的单个实验,也有由视频、文档、实验和测验组成的多模块课程,您可以根据需求进行选择。我们的实验可为您提供实际云资源的临时凭据,以便您通过实际操作掌握 Google Cloud 知识。您可以跟踪、衡量和了解自己的 Google Cloud 学习进度,完成学习活动即可赢取徽章!

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1186 条结果
  1. 实验 精选

    App Engine: 3 Ways: Challenge Lab

    This challenge lab tests your understanding of how to deploy a sample "hello world" application in the Google App Engine standard environment.

  2. 实验 精选

    Using gsutil to Perform Operations on Buckets and Objects

    In this lab you will use gsutil to create a bucket, then perform operations on objects inside the bucket.

  3. 实验 精选

    Log Analytics on Google Cloud

    In this lab you will learn how to use Cloud Logging to analyze your logs.

  4. 实验 精选

    Using Prometheus for Monitoring on Google Cloud: Qwik Start

    Set up a Google Kubernetes Engine cluster, then deploy the Managed Service for Prometheus to ingest metrics from a simple application.

  5. 实验 精选

    Managing Relationships with Foreign Keys and Interleaved Tables

    In this lab, you create a database with multiple tables, and use both primary-foreign key contraints and interleaved tables to manage relationships.

  6. 实验 精选

    Connect an App to a Cloud SQL for PostgreSQL Instance

    In this lab, you create a Kubernetes cluster and deploy a simple application to that cluster. Then, you connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.

  7. 实验 精选

    Cloud Logging on Kubernetes Engine

    In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.

  8. 实验 精选

    Creating and managing SQL pipelines

    Create a BigQuery schema

  9. 实验 精选

    Creating Spanner Instances and Databases (CLI and Terraform)

    In this lab, you automate the creation of Spanner instances and databases using the Google Cloud SDK, the Command Line Interface (CLI), and Terraform.

  10. 实验 精选

    使用 BigQuery 和 Cloud Logging 分析 BigQuery 使用情况

    在此实验中,您将在 Cloud Logging 中查看 BigQuery 日志、设置接收器以将其导出到 BigQuery,然后使用 SQL 分析这些日志。