GB
/
GBP
/
EN_GB

Shaping the future of IT skills

Maximising IT performance through learning

Preparing for the Professional Cloud Architect Examination

WGAC-GGL-PPCAE

Google
Open

Preparing for the Professional Cloud Architect Examination

02 Sep 2022 - 1 day

Italian

CET UTC+01:00

£555

Open

Preparing for the Professional Cloud Architect Examination

08 Sep 2022 - 1 day

German

CET UTC+01:00

£555

Open

Preparing for the Professional Cloud Architect Examination

14 Oct 2022 - 1 day

Italian

CET UTC+01:00

£555

Open

Preparing for the Professional Cloud Architect Examination

03 Nov 2022 - 1 day

German

CET UTC+01:00

£555

Open

Preparing for the Professional Cloud Architect Examination

18 Nov 2022 - 1 day

Italian

CET UTC+01:00

£555

Open

Preparing for the Professional Cloud Architect Examination

02 Dec 2022 - 1 day

German

CET UTC+01:00

£555

Description

Show Tabs
Introduction

Module 1: Understanding the Professional Cloud Architect Certification

Module 1: Understanding the Professional Cloud Architect Certification

Establish basic knowledge about the certification exam and eliminate any confusion or misunderstandings about the process and nature of the exam itself.

Topics covered:

  • Position the Professional Cloud Architect certification among the offerings
  • Distinguish between Associate and Professional
  • Provide guidance between Professional Cloud Architect and Associate Cloud Engineer
  • Describe how the exam is administered and the exam rules
  • Provide general advice about taking the exam
Module 2: Sample Case Studies

In-depth review of the Case Studies provided for exam preparation

Topics covered:

  • JencoMart
  • MountKirk Games
  • Dress4Win
  • TerramEarth
Module 3: Designing and Implementing

Tips and examples covering design and implementation skills that could be tested on the exam

Topics covered:

  • Review the layered model from Design and Process
  • Provide exam tips focused on business and technical design
  • Designing a solution infrastructure that meets business requirements
  • Designing a solution infrastructure that meets technical requirements
  • Design network, storage, and compute resources
  • Creating a migration plan
  • Envisioning future solution improvements
  • Resources for learning more about designing and planning
  • Configuring network topologies
  • Configuring individual storage systems
  • Configuring compute systems
  • Resources for learning more about managing and provisioning
  • Designing for security
  • Designing for legal compliance
  • Resources for learning more about security and compliance
Module 4: Optimizing and Operating

Tips and examples covering business processes, technical, optimization for security, performance, cost, and ongoing operations and reliability

Topics covered:

  • Analyzing and defining technical processes
  • Analyzing and defining business processes
  • Resources for learning more about analyzing and optimizing processes
  • Designing for security
  • Designing for legal compliance
  • Resources for learning more about security and compliance
  • Advising development/operation teams to ensure successful deployment of the solution
  • Resources for learning more about managing implementation
  • Easy buttons
  • Playbooks
  • Developing a resilient culture
  • Resources for learning more about ensuring reliability
Module 5: Next Steps

Highlght learning resources

Topics covered:

  • Present Qwiklabs Challenge Quest for the Professional CA
  • Identify Instructor Led Training courses and what they cover that will be helpful based on skills that might be on the exam
  • Connect candidates to individual Qwiklabs, and to Coursera individual courses and specializations.
  • Review/feedback of course
Prerequisites & Audience

To get the most out of this course, participants should:

  • Knowledge and experience with GCP, equivalent to GCP Architecting Infrastructure
  • Knowledge of cloud solutions, equivalent to GCP Design and Process
  • Industry experience with cloud computing

Google courses


Cloud Digital Leader
CODE: WGAC-GGL-CDL
Data Integration with Cloud Data Fusion
CODE: WGAC-GGL-DICDF
Preparing for Your Professional Cloud Network Engineer Journey
CODE: WGAC-GGL-PYPCNEJ
Deploying and Managing Windows Workloads on Google Cloud
CODE: WGAC-GGL-DMWWGC
Installing and Managing Google Cloud's Apigee API Platform for Private Cloud
CODE: WGAC-GGL-IMAPIPC
Customer Experiences with Contact Center AI - Dialogflow CX
CODE: WGAC-GGL-CCAIDCX
Customer Experiences with Contact Center AI - Dialogflow ES
CODE: WGAC-GGL-CCAIDES
Application Development with Cloud Run
CODE: WGAC-GGL-ADCR
Serverless Data Processing with Dataflow
CODE: WGAC-GGL-SDPF
Developing Data Models with LookML
CODE: WGAC-GGL-DDMLML
Analyzing and Visualizing Data with Looker
CODE: WGAC-GGL-AVDL
Machine Learning on Google Cloud
CODE: WGAC-GGL-MLGC
Developing APIs with Google Cloud's Apigee API platform
CODE: WGAC-GGL-T-APIENG-B
Managing Google Cloud's Apigee API Platform for Hybrid Cloud
CODE: WGAC-GGL-T-APIHYB-B
Logging, Monitoring, and Observability in Google Cloud
CODE: WGAC-GGL-LMOGC
Security in Google Cloud Platform
CODE: WGAC-GGL-SGCP-3D
Google Cloud Fundamentals for Azure Professionals
CODE: WGAC-GGL-GCPAZURE
Preparing for the Associate Cloud Engineer Examination
CODE: WGAC-GGL-PPACE
Architecting Hybrid Cloud Infrastructure with Anthos
CODE: WGAC-GGL-T-AHYBRID-I
Architecting with Google Kubernetes Engine
CODE: WGAC-GGL-AGKE
Architecting with Google Compute Engine
CODE: WGAC-GGL-AGCE
Preparing for the Professional Data Engineer Examination
CODE: WGAC-GGL-PPDEE
Networking in Google Cloud Platform
CODE: WGAC-GGL-NGCP
Preparing for the Professional Cloud Architect Examination
CODE: WGAC-GGL-PPCAE
Getting Started with Google Kubernetes Engine
CODE: WGAC-GGL-GCP-GSGKE
Google Cloud Platform Fundamentals for AWS Professionals
CODE: WGAC-GGL-GCP-FAP
Developing Applications with Google Cloud Platform
CODE: WGAC-GGL-DAGCP
From Data to Insights with Google Cloud Platform
CODE: WGAC-GGL-DIGCP
Data Engineering on Google Cloud Platform
CODE: WGAC-GGL-DEGCP
Google Cloud Fundamentals: Big Data and Machine Learning
CODE: WGAC-GGL-GCF-BDM
Architecting with Google Cloud Platform: Design and Process
CODE: WGAC-GGL-AGCP-DP
Google Cloud Fundamentals: Core Infrastructure
CODE: WGAC-GGL-GCF-CI
We use cookies to understand how you use our site and to improve your experience. To learn more, click here. Read our revised Privacy Policy and Terms and Conditions.