Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

By : Konrad Cłapa, Brian Gerrard
5 (1)
Book Image

Professional Cloud Architect Google Cloud Certification Guide - Second Edition

5 (1)
By: Konrad Cłapa, Brian Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the industry leaders thanks to its array of services that can be leveraged by organizations to bring the best out of their infrastructure. This book is a comprehensive guide for learning methods to effectively utilize GCP services and help you become acquainted with the topics required to pass Google's Professional Cloud Architect certification exam. Following the Professional Cloud Architect's official exam syllabus, you'll first be introduced to the GCP. The book then covers the core services that GCP offers, such as computing and storage, and takes you through effective methods of scaling and automating your cloud infrastructure. As you progress through the chapters, you'll get to grips with containers and services and discover best practices related to the design and process. This revised second edition features new topics such as Cloud Run, Anthos, Data Fusion, Composer, and Data Catalog. By the end of this book, you'll have gained the knowledge required to take and pass the Google Cloud Certification – Professional Cloud Architect exam and become an expert in GCP services.
Table of Contents (25 chapters)
1
Section 1: Introduction to GCP
5
Section 2: Manage, Design, and Plan a Cloud Solution Architecture
14
Chapter 12: Exploring Storage and Database Options in GCP – Part 2
17
Section 3: Secure, Manage and Monitor a Google Cloud Solution
21
Section 4: Exam Focus

Cloud Vertex AI

Vertex AI is a Google Cloud AI platform service that allows you to build, deploy and scale ML models with a pretrained or custom tool without worrying about the underlying infrastructure. It is an evolution of the AI Platform service and introduced integration with AutoML.

Exam Tip

Vertex AI was announced at the Google I/O conference in 2021. Lots of Vertex AI features are still in preview at the time of writing this book. We don't anticipate that you will get a question on this in the PCA exam. We still feel this topic is very exciting. If you want to learn more about Vertex AI, check the documentation: https://cloud.google.com/vertex-ai/docs/start.

You can accelerate the learning process, since a range of CPU, GPU, and Tensor Processing Unit (TPU) nodes are supported. It works with multiple frameworks, but the most popular is TensorFlow. As TensorFlow is open source, it allows for portability. Models can be trained locally on limited data and then...