Google Certified Professional Cloud Architect

Google Certified Professional Cloud Architect

Google Cloud Platform (GCP) Certifications are industry-recognized credentials that validate your technical cloud skills and expertise while assisting you in your career growth. These are one of the most valuable IT certifications right now since GCP has established an overwhelming lead in the public cloud market. Even with the presence of several tough competitors such as Microsoft Azure, AWS, and Rackspace, GCP is gaining ground in the public cloud platform today, with an astounding collection of proprietary services that continues to grow.

The two key reasons as to why GCP certifications are prevailing in the current cloud-oriented job market:

  • There is a dire need for skilled cloud engineers, developers, and architects – and the current shortage of experts is expected to continue into the foreseeable future.
  • The Google Cloud Certified assignment means that you have exhibited the important aptitudes to use Google Cloud innovation in a manner that can change organizations and definitively sway the general population and clients they serve.

 

Value of GCP Certifications

Google Cloud Certifications place equal emphasis on sound conceptual knowledge of its entire platform, as well as on hands-on experience with the GCP infrastructure and its unique and complex components and services.

For Individuals
  • Demonstrate your expertise in designing, deploying, and managing application infrastructure and data solutions on Google Cloud Technology.
  • Gain recognition and visibility of your proven skills and proficiency with GCP.
  • Foster credibility with your employer and peers.

 

For Employers
  • Identify skilled professionals to lead IT initiatives with Google Cloud technologies.
  • Reduce risks and costs to implement your workloads and projects on the Google Cloud Platform.
  • Increase customer satisfaction.

 

Types of Certification

Role-based Certification
  • Associate- Technical role-based certifications. No pre-requisite.
  • Professional- Highest level technical role-based certification. Relevant Associate certification required.

 

About GCP – Professional Cloud Architect Exam
Exam Questions Multiple choice and multiple answer
Time to Complete 120 minutes
Available Languages English, Japanese, Spanish, and Portuguese
Exam Fee 200 USD

 

The Google Certified Professional Cloud Architect exam validates and individual’s ability to deploy applications, monitor operations, and manage enterprise solutions. This individual is able to use GCP Console and the CLI to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud. Example concepts you should understand for this exam include:

  • Creation of projects and billing accounts
  • Planning and configuring compute resources, data storage options, and network resources
  • Deployment and implementation of a cloud solution
  • Managing App Engine, Compute Engine, and Kubernetes Engine
  • Management of IAM and Service accounts

 

Recommended Google Cloud Knowledge                                          
  • 6-month hands-on experience on Google Cloud Console and CLI
  • Understanding of core GCP services and their uses
  • This exam has no pre-requisites

 

  Domain
Domain 1 Set up a cloud solution environment
Domain 2 Plan and configure a cloud solution
Domain 3 Deploy and implement a cloud solution
Domain 4 Ensure successful operation of a cloud solution
Domain 5 Configure access and security

 

Table of Contents
Chapter 01: Cloud Concepts 18
  • What is Cloud Computing? 18
  • Advantages of Cloud Computing 18
  • Types of Cloud Computing 19
  • Cloud Computing Deployments Models 19
  • Google Cloud Platform 20
  • GCP Resources 20
  • Global, Regional, and Zonal Resources 20
  • Ways to Interact with the Services 22
  • GCP’s Design and Structure 23
  • What are Google Cloud Platform (GCP) Services? 25
  • Practice Questions: 36

 

Chapter 02: Core Management Services 41
  • Introduction 41
  • Management Services 41
  • Cloud Resource Manager 41
  • Resource Hierarchy 41
  • Core Principles 42
  • Google Cloud Resource Hierarchy 42
  • Policy Inheritance 43
  • Lab 2-01: Resource Hierarchy-Hands On 43
  • Labels 50
  • How Do They Work? 50
  • Examples of Labels 50
  • Labels vs Network Tags 50
  • Lab 2-02: Applying Labels on Compute Engine Instances using Console 50
  • Quotas 62
  • Why Quotas are Needed? 62
  • Increasing Quota Caps 63
  • Lab 2-03: Quotas 63
  • Cloud IAM 72
  • Who (Member) 72
  • Can do What (Role) 72
  • On Which Resources 72
  • Members 73
  • Roles 73
  • IAM Policy 74
  • Service Accounts 99
  • Types of Service Accounts 99
  • Service Account Keys 100
  • Service Account Scopes 100
  • Lab 2-04: Service Accounts 100
  • Billing 126
  • Billing and Cloud IAM 126
  • Billing Relationship 126
  • Managing and Viewing Billing Data 127
  • Lab 2-05: View Sample Billing Data with BigQuery and Cloud Storage 127
  • Stackdriver 147
  • Overview 147
  • Stackdriver Benefits 148
  • Third Party Integration 148
  • Stackdriver Logging 148
  • Lab 2-06: Stackdriver Logging 151
  • Stackdriver Monitoring 172
  • Lab 2-07: Stackdriver Monitoring 174
  • Trace, Debug, Error Reporting, and Profiler 201
  • Lab 2-08: Trace, Error Reporting, and Debugging 203
  • Practice Questions: 222

 

Chapter 03: Core Building Blocks 226
  • Introduction 226
  • Cloud Storage 226
  • Buckets 226
  • Objects 227
  • Storage Classes 227
  • gsutil Command Basic 232
  • Cloud Storage Security Concepts 232
  • Lab 3-01: Cloud Storage Security 235
  • Object Versioning 260
  • Object Lifecycle Management 260
  • Lab 3-02: Object Versioning 262
  • Lab 3-03: gsutil for Cloud Storage 274
  • GCP Databases 282
  • Managed Database on Google Cloud 283
  • Non-managed Database 288
  • Cloud SQL DeepDive 289
  • Big Query DeepDive 297
  • Virtual Networks 303
  • Virtual Private Cloud (VPC) – Basic Concepts 303
  • Firewalls 331
  • Shared VPC Concept 348
  • Testing and Production Environments 350
  • Hybrid Cloud 351
  • Two-Tier Web Applications 352
  • Lab 3-06: Shared-VPC 354
  • Interconnecting Networks 377
  • The Power of the Network 377
  • Connecting your Network to Google 379
  • Google Cloud VPN Deep Dive 384
  • Lab 3-07: Cloud VPN 387
  • Lab 3-08: Cloud Router 425
  • Google Cloud DNS 440
  • Compute Engine Deep Dive 445
  • Disks 445
  • Lab 3-09: Creating, Resizing and Attaching Disks (via Console) 450
  • Lab 3.10: Creating, Resizing and Attaching Disks (via CLI) 463
  • Lab 3.11: Resizing the Boot Disks 469
  • Images 488
  • Lab 3.12: Creating Custom Images 492
  • Snapshots 505
  • Startup and Shutdown Scripts 513
  • Preemptible VMs 519
  • Practice Questions: 522

 

Chapter 04: Elastic Cloud Infrastructure: Scaling and Automation 527
  • Introduction 527
  • Force Multipliers Automation and Scaling 527
  • Load Balancer 528
  • Global versus Regional Load Balancing 530
  • External versus Internal Load Balancing 530
  • HTTP(s) Load Balancer 531
  • Network Load Balancer 533
  • Internal TCP/UD Load Balancer 533
  • Lab 4-01: Load Balancer 533
  • Instance Group and Auto-scaling 544
  • Managed Instance Groups 545
  • Lab 4-02: Managed Instance Groups 548
  • Lab 4-03: Auto-scaler and Instance Group Updates 563
  • Google Cloud CDN 574
  • Cloud CDN Locations 574
  • Cloud Deployment Manager 574
  • The Workings of Cloud Deployment Manager 574
  • Lab 4-04: Simple Deployment 575
  • Lab 4-05: Complex Deployment using Dependencies 584
  • Lab 4-06: Deployment with Templates 589
  • Practice Questions 593

 

Chapter 05: Elastic Cloud Infrastructure: Managed Compute Services 597
  • Introduction 597
  • Compute Services Overview 597
  • Compute Engine – Infrastructure as a Service (IaaS) 597
  • Kubernetes Engine 598
  • App Engine – Platform as a Service (PaaS) 598
  • Cloud Functions 599
  • App Engine 599
  • Management Concepts 600
  • Lab 5-01: App Engine 601
  • Kubernetes Engine 621
  • Cluster Orchestration with GKE 621
  • Container Resources 621
  • GKE Administration Concepts 622
  • Lab 5-02: Kubernetes Engine 626
  • Big Data and Machine Learning Services 656
  • Cloud Dataproc 656
  • Cloud Dataflow 656
  • Differences between Dataproc and Dataflow 656
  • Dataprep 657
  • Cloud Pub/Sub 657
  • Machine Learning 657
  • Data Visualization Services 657
  • Datalab 657
  • Data Studio 658
  • Data Lifecycle 658
  • Practice Questions 660

 

Chapter 06: Business Scenarios 664
  • Introduction 664
  • Case Study Overviews 664
  • MountKirk Games 665
  • Dress4Win 669
  • Terram-Earth 673
  • Mountkrik Games 676
  • Dress4Win 676
  • Terram-Earth 676
  • Practice Questions 678

 

Chapter 07: Architecting Google Cloud Solution 683
  • Introduction 683
  • Making the Case for Cloud and GCP 683
  • Planning a Cloud Transition 683
  • Cost Optimization 685
  • Architecting Cloud Applications 686
  • Migrating to Google Cloud 688
  • Planning a Successful Cloud Migration 688
  • Storage Transfer Service 691
  • Data Migration Best Practices 694
  • Migration Applications 698
  • Resilient Cloud Solution Infrastructure 699
  • Disaster Recovery Concepts 699
  • Backup and Recovery Methods in GCP 701
  • Security and Compliance 701
  • Security Methods in GCP 701
  • Network Design for Security and Isolation 703
  • Legal Compliance and Audits 705
  • Development Practices 709
  • Software Development Lifecycle Concepts 709
  • Testing Your Application for Resiliency 712
  • Practice Questions 714

 

Answers: 719
Acronyms: 748
References: 750
About Our Products 754

 

Get 20% instant discount when shared to your social account

*Product must be added in cart to apply coupon

Price: $9.99
Buy Now
Send a Message