Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By : Konrad Cłapa, Brian Gerrard
Book Image

Professional Cloud Architect – Google Cloud Certification Guide

By: Konrad Cłapa, Brian Gerrard

Overview of this book

Google Cloud Platform (GCP) is one of the leading cloud service suites and offers solutions for storage, analytics, big data, machine learning, and application development. It features an array of services that can help organizations to get the best out of their infrastructure. This comprehensive guide covers a variety of topics specific to Google's Professional Cloud Architect official exam syllabus and guides you in using the right methods for effective use of GCP services. You'll start by exploring GCP, understanding the benefits of becoming a certified architect, and learning how to register for the exam. You'll then delve into the core services that GCP offers such as computing, storage, and security. As you advance, this GCP book will help you get up to speed with methods to scale and automate your cloud infrastructure and delve into containers and services. In the concluding chapters, you'll discover security best practices and even gain insights into designing applications with GCP services and monitoring your infrastructure as a GCP architect. By the end of this book, you will be well versed in all the topics required to pass Google's Professional Cloud Architect exam and use GCP services effectively.
Table of Contents (26 chapters)
Free Chapter
1
Section 1: Introduction to GCP
5
Section 2: Managing, Designing, and Planning a Cloud Solution Architecture
15
Section 3: Designing for Security and Compliance
17
Section 4: Managing Implementation
19
Section 5: Ensuring Solution and Operations Reliability
21
Section 6: Exam Focus

Dialogflow

This is actually a tool outside of GCP and has its origins in a product called Api.ai. It was developed to perform human-to-computer interaction using natural language processing.

It allows you to create so-called Agents and Intents that have definite possible conversation scenarios. Dialogflow able to train itself on possible variations of phrases that the user uses to demonstrate particular intent. The more phrases that are provided, the better it can learn to trigger the intent:

Source: https://cloud.google.com/dialogflow/docs/intents-overview
License: https://creativecommons.org/licenses/by/4.0/

When a user calls an intent, the Agent can answer with a simple response or more advanced actions can take place. For example, Intent can be analyzed in relation to defined parameters.

The parameters can get extracted and passed to so-called Fulfillment, which are basically...