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Professional Cloud Architect Google Cloud Certification Guide

Professional Cloud Architect Google Cloud Certification Guide

By : Konrad Cłapa , Gerrard
4.7 (31)
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Professional Cloud Architect Google Cloud Certification Guide

Professional Cloud Architect Google Cloud Certification Guide

4.7 (31)
By: Konrad Cłapa , 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)
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Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the color images
Conventions used
Get in touch
Share Your Thoughts
1
Section 1: Introduction to GCP
Section 1: Introduction to GCP
Free Chapter
2
Chapter 1: GCP Cloud Architect Professional
Chapter 1: GCP Cloud Architect Professional
Understanding the benefits of being a certified architect
Registering for the exam
What to expect from the exam
Suggested hints and tips
Summary
Further reading
3
Chapter 2: Getting Started with Google Cloud Platform
Chapter 2: Getting Started with Google Cloud Platform
Introducing the cloud
Understanding GCP
Summary
Further reading
4
Chapter 3: Google Cloud Platform Core Services
Chapter 3: Google Cloud Platform Core Services
Understanding computing and hosting services
Exploring storage services
Getting to know about networking services
Going through big data services
Understanding machine learning services
Learning about identity services
Summary
Further reading
5
Section 2: Manage, Design, and Plan a Cloud Solution Architecture
Section 2: Manage, Design, and Plan a Cloud Solution Architecture
6
Chapter 4: Working with Google Compute Engine
Chapter 4: Working with Google Compute Engine
Deploying our first GCE instance
Deployment options
Instance templates and instance groups
Autoscaling
Autohealing
Containers on Compute Engine
Quotas and limits
Pricing
Summary
Further reading
7
Chapter 5: Exploring Google App Engine as a Compute Option
Chapter 5: Exploring Google App Engine as a Compute Option
App Engine components
Choosing the right location
Working with App Engine
Environment types
Deploying an App Engine application
Versions
Splitting traffic
Migrating traffic
Firewall rules
Settings
Scaling
Cron jobs
Memcache
IAM
Quotas and limits
Pricing
Summary
Further reading
8
Chapter 6: Managing Kubernetes Clusters with Google Kubernetes Engine
Chapter 6: Managing Kubernetes Clusters with Google Kubernetes Engine
An introduction to microservices
Containers
Kubernetes
Google Kubernetes Engine
Summary
Further reading
9
Chapter 7: Deploying Cloud-Native Workloads with Cloud Run
Chapter 7: Deploying Cloud-Native Workloads with Cloud Run
Using Cloud Run
Cloud Run triggers
Mapping custom domains
Pricing
Summary
Further reading
10
Chapter 8: Managing Cloud-Native Workloads with Anthos
Chapter 8: Managing Cloud-Native Workloads with Anthos
Anthos components
Anthos cluster deployment options
Anthos Config Management
Service management with Anthos Service Mesh
Anthos Binary Authorization
Migrate for Anthos and GKE
Summary
Further reading
11
Chapter 9: Running Serverless Functions with Google Cloud Functions
Chapter 9: Running Serverless Functions with Google Cloud Functions
Main Cloud Functions characteristics
Use cases
Runtime environments
Types of Cloud Functions
Events
Triggers
Other considerations
Deploying Cloud Functions
IAM
Quotas and limits
Pricing
Summary
Further reading
12
Chapter 10: Networking Options in GCP
Chapter 10: Networking Options in GCP
Exploring GCP networking
Understanding Virtual Private Clouds
Load balancing
NAT
Hybrid connectivity
DNS
VPC firewall rules
Hierarchical firewall policies
Private access options
Summary
Further reading
13
Chapter 11: Exploring Storage and Database Options in GCP – Part 1
Chapter 11: Exploring Storage and Database Options in GCP – Part 1
Choosing the right storage option
Understanding Cloud Storage
Understanding Cloud Firestore
Understanding Cloud SQL
Summary
Further reading
14
Chapter 12: Exploring Storage and Database Options in GCP – Part 2
Chapter 12: Exploring Storage and Database Options in GCP – Part 2
Cloud Spanner
Bigtable
Summary
Further reading
15
Chapter 13: Analyzing Big Data Options
Chapter 13: Analyzing Big Data Options
End-to-end big data solution
Cloud Pub/Sub
Cloud Dataflow
BigQuery
Dataproc
Cloud IoT Core
Data Fusion
Datastream API
Additional considerations
Summary
Further reading
16
Chapter 14: Putting Machine Learning to Work
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Chapter 14: Putting Machine Learning to Work
An introduction to AI and ML
The seven steps of ML
Learning models
GCP ML options
TensorFlow
Cloud Vertex AI
Pretrained ML models
Dialogflow
AutoML
Summary
Further reading
17
Section 3: Secure, Manage and Monitor a Google Cloud Solution
Section 3: Secure, Manage and Monitor a Google Cloud Solution
18
Chapter 15: Security and Compliance
Chapter 15: Security and Compliance
Introduction to security
Cloud Identity
Resource Manager
Identity and Access Management (IAM)
Firewall rules and load balancers
Cloud Web Security Scanner
Monitoring and logging
Encryption
Industry regulations
Summary
Additional security services
Summary
Further reading
19
Chapter 16: Google Cloud Management Options
Chapter 16: Google Cloud Management Options
Using APIs to manage resources
Using Google Cloud Shell
The GCP SDK
Exploring Cloud Deployment Manager
Terraform
Cloud Foundation Toolkit
Pricing Calculator
Additional things to consider
Summary
Further reading
20
Chapter 17: Monitoring Your Infrastructure
Chapter 17: Monitoring Your Infrastructure
Technical requirements
Introduction to Google Cloud's operations suite
Configuring Google Cloud's operations suite
Cloud Monitoring
Cloud Logging
Google Cloud's operations suite for GKE
APM
Error Reporting
Summary
Further reading
21
Section 4: Exam Focus
Section 4: Exam Focus
22
Chapter 18: Case Studies
Chapter 18: Case Studies
Understanding how to approach the exam case studies
What are we looking for in the case studies?
Additional case studies
Summary
Further reading
23
Chapter 19: Test Your Knowledge
Chapter 19: Test Your Knowledge
Mock test one
Mock test two
Mock test three
Mock test four
Answers to mock test one
Answers to mock test two
Answers to mock test three
Answers to mock test four
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The seven steps of ML

Google indicates that there are seven steps of ML:

  1. Gathering the data
  2. Preparing the data
  3. Choosing a model
  4. Training
  5. Evaluation
  6. Hyperparameter tuning
  7. Prediction

Let's go through each of the steps with an example. Let's say we are training the model to check whether a piece of fruit is an apple or a lemon. We need to choose the features that we will use to train our model. There are lots of possible alternatives, including shape, color, taste, and skin smoothness:

Figure 14.2 – Objects for the ML experiment

For this particular training, we will use color and sugar content. The second measurement is probably not the simplest one to obtain, but for this test, let's assume that we have the proper equipment to do so.

Gathering and preparing the data

Let's start gathering data by buying multiple apples and lemons. We will start with the creation of tables with two features...

End of Section 3
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