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

Pretrained ML models

Google's pretrained models can be used to perform predictions without us needing any knowledge of how ML works. All of the models are accessible using APIs and can be directly consumed from your application. The data for prediction is delivered using a JSON file or is stored on Cloud Storage. There are currently a number of models available, as follows:

  • The Cloud Speech-to-Text API
  • The Cloud Text-to-Speech API
  • The Cloud Translation API
  • The Cloud Natural Language API
  • The Cloud Vision API
  • The Cloud Video Intelligence API

Let's have a quick look at each of them.

The Cloud Speech-to-Text API

The Cloud Speech-to-Text API empowers developers with the ability to turn speech into text. This API accepts received audio and returns a text transcription. This API can be used synchronously, asynchronously, or in a streaming model. Many languages and dialects are supported. For a full list, check the Further reading section...