Official Google Cloud Certified Associate Cloud Engineer Study Guide
About the course
The Official Google Cloud Certified Associate Cloud Engineer Study Guide provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services.
- Select the right Google service from the various choices based on the application to be built
- Compute with Cloud VMs and managing VMs
- Plan and deploying storage
- Network and configure access and security
Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google Cloud. This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google Cloud.
Author
Dan Sullivan
Dan Sullivan is a principal engineer and software architect at New Relic. He specializes in streaming analytics, machine learning, and cloud computing. Dan is the author of NoSQL for Mere Mortals and several LinkedIn Learning courses on databases, data science, and machine learning. Dan has certifications from Google and AWS along with a Ph.D. in genetics and computational biology.