参加实操培训，成为云专家。

GCP基础

在此入门级挑战任务中，您可以使用 Google Cloud Platform 的基本工具和服务，开展真枪实弹的操作实训。“GCP 基本功能”是我们为 Google Cloud 学员推荐的第一项挑战任务。云知识储备微乎其微甚至零基础？不用担心！这项挑战任务会为您提供真枪实弹的实操经验，助您快速上手 GCP 项目。无论是要编写 Cloud Shell 命令还是部署您的第一台虚拟机，亦或是通过负载平衡机制或在 Kubernetes Engine 上运行应用，都可以通过“GCP 基本功能”了解该平台的基本功能之精要。点此观看 1 分钟视频，了解每个实验涉及的主要概念。

基准：基础架构

如果您是新手云开发人员，希望在GCP Essentials之外寻求动手实践，那么此任务适合您。通过深入研究Cloud Storage和其他关键应用程序服务（如Stackdriver和Cloud Functions）的实验室，您将获得实践经验。通过执行此任务，您将开发适用于任何GCP计划的宝贵技能。 1分钟的视频向您介绍这些实验室的关键概念。

Kubernetes in Google Cloud

Kubernetes is the most popular container orchestration system and the Google Kubernetes Engine was designed specifically to support managed Kubernetes deployments in the Google Cloud. In this advanced-level quest, you will get hands-on practice configuring Docker images and containers, and deploying fully-fledged Kubernetes Engine applications. This quest will teach you the practical skills needed for integrating container orchestration into your own workflow.

DevOps Essentials

Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this quest you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five multiple-choice question quiz and find out!

Cloud Architecture

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 Professional Cloud Architect 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.

Challenge: GCP Architecture

This quest of "Challenge Labs" gives the student preparing for the Google Cloud Certified Professional Cloud Architect certification hands-on practice with common business/technology solutions using Google Cloud architectures. Challenge Labs do not provide the "cookbook" steps, but require solutions to be built with minimal guidance, across many Google Cloud technologies. All labs have activity tracking, and in order to earn this badge you must score 100% in each lab. This quest is not easy and will put your Google Cloud technology skills to the test! Be aware that while practice with these labs will increase your knowledge and abilities, additional study, experience, and background in cloud architecture is recommended to prepare for this certification.

Cloud Healthcare API

Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.

热门内容

A Tour of Qwiklabs and the Google Cloud Platform

In this first hands-on lab you will access Qwiklabs and the Google Cloud Platform Console and use the basic GCP features: Projects, Resources, IAM Users, Roles, Permissions, APIs, and Cloud Shell.

Creating a Virtual Machine

In this hands-on lab, you’ll learn how to create a Google Compute Engine virtual machine and understand zones, regions, and machine types. To preview, watch the short video Create a Virtual Machine, GCP Essentials.

Getting Started with Cloud Shell & gcloud

In this hands-on lab you will learn how to connect to computing resources hosted on Google Cloud Platform via the web. You will also learn how to use Cloud Shell and the Cloud SDK gcloud command. For a preview, watch the short video Get Started with Cloud Shell, GCP Essentials.

Kubernetes Engine: Qwik Start

Google Kubernetes Engine provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. This hands-on lab shows you how deploy a containerized application with Kubernetes Engine. Watch the short video Manage Containerized Apps with Kubernetes Engine.

热点

Establish a Data Lake from Stackdriver Logging to BigQuery with Apigee

In this lab, you will learn how to export logs data from Google Stackdriver to BigQuery for analysis, and then provide access to this aggregated data via APIs using Apigee Edge

热点

Introducing API Management on Top of a Legacy Platform

Create of an API proxy to apply API key verification and rate limiting policies and Developer credentials to consume a published API.

热点

Leverage Apigee to Modernize Exposure & Secure Access

In this lab you will learn how to leverage Apigee to modernize a SOAP service by easily exposing it as a RESTful API and securing the access to the public endpoint..

高评分

Hardening Default GKE Cluster Configurations

This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation

高评分

Serverless Architectures using Amazon CloudWatch Events and Scheduled Events with AWS Lambda

This is a two part lab. In part one of the lab, you will learn how to use a Lambda function with CloudWatch events to monitor the creation of an EC2 instance, using a Lambda function you create manually. In part two of the lab, you will create a Lambda function from a blueprint to alert you to a CloudWatch alarm, with notification through an Amazon SNS topic. Prerequisites: To successfully complete this lab, you should be familiar with basic CloudWatch and SNS concepts. Node.js and Python programming are required, although full solution code is provided. You should have at a minimum taken the “Introduction to AWS Lambda” lab.

高评分