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Google Professional Cloud Developer Exam Guide: Ace the Google Professional Cloud Developer Exam with this comprehensive guide (English Edition) - Fiifi Baidoo October 27, 2023 PDF  BOOKS
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Google Professional Cloud Developer Exam Guide: Ace the Google Professional Cloud Developer Exam with this comprehensive guide (English Edition)
Author: Fiifi Baidoo
Year: October 27, 2023
Format: PDF
File size: PDF 9.1 MB
Language: English

Get the knowledge and skills you need to become a certified Google Cloud Developer. The Google Professional Cloud Developer Exam Guide is a comprehensive study guide for the Google Professional Cloud Developer exam. It covers all the topics you need to master to design, develop, deploy, and manage cloud-native applications on Google Cloud Platform (GCP). The book starts with an introduction to the certification and the skills and knowledge you need to pass the exam. Then, it covers the different development environments for GCP development, the most important GCP products and services, and the principles of designing high-performance and secure applications. The book also covers designing and building cloud-native applications, different application deployment strategies, and how to deploy apps and services on GCP. It also shows how to integrate applications with GCP services and how to monitor and manage app workloads. To help you prepare for the exam, the book ends with a chapter of quiz solutions. Overall, this book is a great resource for anyone preparing for the Google Professional Cloud Developer exam. In Cloud Profiler, you can click the top functions list to discover the most costly functions and select one to enable the focus view. They could be some low-hanging fruit that you need to include. Profiler is free and supports Java, Go, Node.js, and Python applications running on Google Kubernetes Engine, Compute Engine, App Engine environments, and containers or VMs hosted in the cloud. As we delve deeper, each of the 11 chapters will unravel a different facet of cloud development - from Operations APIs to Machine Learning APIs, from creating a custom VPC to designing high-performance applications.

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