Google Cloud: Professional Cloud Architect (PCA)

HVAD LÆRER JEG?

This 6 day course- and certification programme includes all of these courses: Google Cloud Fundamentals: Core Infrastructure (GCF-CI), Architecting with Google Cloud Platform: Infrastructure (AGCPI), Architecting with Google Cloud Platform: Design and Process (AGCP-DP), Preparing for the Professional Cloud Architect Examination (PPCAE).

Hvad er inkluderet

Your course package is designed to provide maximum learning and convenience. This is included in the price of your course:

• INSTRUKTØRLEDET TRÆNING
• ALLE KURSUSMATERIALER
• EKSAMENS VOUCHER
• CERTIFICERINGSGARANTI
• INSTRUKTØRLEDET TRÆNING
• OVERNATNING
• ALLE KURSUSMATERIALER
• ALLE MÅLTIDER
• EKSAMENS VOUCHER
• CERTIFICERINGSGARANTI

EKSAMEN & CERTIFICERING

Your expert instructor will get you ready for the following exam and certification, which are included in your course package and covered by the Certification guarantee.

• Google Cloud Certified - Professional Cloud Architect Exam (PR000088)
• Google Cloud Certified: Professional Cloud Architect

FORKUNDSKABER

You´ll have the perfect starting point for your training with these prerequisites:

- Familiarity with application development, systems operations, Linux operating systems, and data analytics/machine learning is helpful in understanding the technologies covered.
- Basic proficiency with command-line tools and Linux operating system environments
- Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment
- 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

Agenda

Using our engaging learning methodology including a variety of tools, we’ll cover the entire curriculum.

Google Cloud Fundamentals: Core Infrastructure (GCF-CI)
We start with an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, you will learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

Course Objectives

This course teaches you the following skills:

- Identify the purpose and value of Google Cloud Platform products and services
- Interact with Google Cloud Platform services
- Describe ways in which customers have used Google Cloud Platform
- Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Container Engine, and Google Compute Engine
- Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
- Make basic use of BigQuery, Google’s managed data warehouse for analytics

Module 1: Introducing Google Cloud Platform

- Explain the advantages of Google Cloud Platform
- Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones
- Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)
- Lab: Sign Up for the Free Trial and Create a Project

Module 2: Getting Started with Google Cloud Platform

- Identify the purpose of projects on Google Cloud Platform
- Understand the purpose of and use cases for Identity and Access Management
- List the methods of interacting with Google Cloud Platform
Lab: Getting Started with Google Cloud Platform

Module 3: Google App Engine and Google Cloud Datastore

- Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore
- Contrast the App Engine Standard environment with the App Engine Flexible environment
- Understand the purpose of and use cases for Google Cloud Endpoints
Lab: Deploying Applications Using App Engine and Cloud Datastore

Module 4: Google Cloud Platform Storage Options

- Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable
- Learn how to choose between the various storage options on Google Cloud Platform
Lab: Integrating Applications with Google Cloud Storage

Module 5: Google Container Engine

- Define the concept of a container and identify uses for containers
- Identify the purpose of and use cases for Google Container Engine and Kubernetes
- Deploying Applications Using Google Container Engine

Module 6: Google Compute Engine and Networking

- Identify the purpose of and use cases for Google Compute Engine
- Understand the various Google Cloud Platform networking and operational tools and services
Lab: Deploying Applications Using Google Compute Engine

Module 7: Big Data and Machine Learning

- Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms
Lab: Getting Started with BigQuery

Architecting with Google Cloud Platform: Infrastructure (AGCPI)
During this part of the course programme you will be introduced to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Course Objectives
This course teaches you the following skills:

- Consider the entire range of Google Cloud Platform technologies in their plans
- Learn methods to develop, implement, and deploy solutions
- Distinguish between features of similar or related products and technologies
- Recognize a wide variety of solution domains, use cases, and applications
- Develop essential skills for managing and administering solutions
- Develop knowledge of solution patterns—methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities

Module 1: Introduction to Google Cloud Platform

- Role of the Cloud Architect
- Learn about Solution Domains as an approach to design
Lab: Console and Cloudshell
Lab: Projects
Lab: Infrastructure Preview

Module 2: Virtual Networks

- Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
- Subnetworks for resource management instead of physical network topology
Lab: Virtual Networking
Lab: Bastion Host

Module 3: Virtual Machines

- GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs
Lab: Creating Virtual Machines
Lab: Working with Virtual Machines

Module 4: Cloud IAM

- Members, roles, organizations, account administration, service accounts
Lab: Cloud IAM

Module 5: Data Storage Services

- Cloud Storage, Datastore, Bigtable, Cloud SQL
Lab: Cloud Storage
Lab: Cloud SQL
Lab: Cloud Datastore

Module 6: Resource Management

- Billing, Quotas, Labels, Names, Cloud Resource Manager
Lab: Billing Administration
Lab: Examining Billing Data and BigQuery

Module 7: Resource Monitoring

- Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging
Lab: Resource Monitoring (Stackdriver)
Lab: Error Reporting and Debugging (Stackdriver)

Module 8: Interconnecting Networks

- VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS
Lab: Virtual Private Networks (VPN)
Lab: Dynamic VPN with Cloud Routers

Module 9: Load Balancing

- Network Load Balancing, HTTP(S) Load Balancing, SSL Load Balancing and Internal Load Balancing, Managed Instance Groups
Lab: VM Automation and Load Balancing

Module 10: Autoscaling

- Autoscaler
Lab: Autoscaling

Module 11: Infrastructure Automation with Cloud API

- Infrastructure automation, custom images, startup and shutdown scripts and metadata
Lab: Cloud API Infrastructure Automation

Module 12: Infrastructure Automation with Deployment Manager
- Deployment Manager templates
Lab: Deployment Manager

Module 13: Managed Services

- Dataproc, Dataflow, BigQuery, Datalab

Module 14: Application Development Infrastructure

- Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions

Module 15: Application Development ServicesGoogle App Engine (GAE), Dev Tools, Cloud Source Repos.

Lab: App Engine Development

Module 16: Containers

- Containers, Google Container Engine (GKE), and Container Registry.
Lab: Kubernetes Load Balancing

Architecting with Google Cloud Platform: Design and Process (AGCP-DP)
During the second part of the course, we will teach you how​ ​to​ ​build​ ​highly​ ​reliable​ ​and​ ​efficient​ ​solutions​ ​on​ ​Google​ ​Cloud Platform,​ ​using​ ​proven​ ​design​ ​patterns​ ​and​ ​the​ ​principles​ ​of​ ​Google​ ​Site​ ​Reliability​ ​Engineering​ ​(SRE).​ ​It​ ​is​ ​a continuation​ ​of​ ​the​ ​​Architecting​ ​with​ ​Google​ ​Cloud​ ​Platform:​ ​Infrastructure​​ ​course​ ​and​ ​assumes​ ​hands-on experience​ ​with​ ​the​ ​technologies​ ​covered​ ​in​ ​that​ ​course.

Through​ ​a​ ​combination​ ​of​ ​presentations,​ ​demos,​ ​and​ ​hands-on​ ​labs,​ ​participants​ ​learn​ ​to​ ​design​ ​GCP​ ​deployments that​ ​are​ ​highly​ ​reliable​ ​and​ ​secure;​ ​and​ ​how​ ​to​ ​operate​ ​GCP​ ​deployments​ ​in​ ​a​ ​highly​ ​available​ ​and​ ​cost-effective manner.

Course Objectives
This course teaches participants the following skills:

- Design for high availability, scalability, and maintainability
- Assess tradeoffs and make sound choices among Google Cloud Platform products
- Integrate on-premises and cloud resources
- Identify ways to optimize resources and minimize cost
- Implement processes that minimize downtime, such as monitoring and alarming, unit and integration testing, production resilience testing, and incident post-mortem analysis
- Implement policies that minimize security risks, such as auditing, separation of duties and least privilege
- Implement technologies and processes that assure business continuity in the event of a disaster

Module 1: Defining the Service

- Design​ ​in​ ​this​ ​class
- State​ ​and​ ​solution
- Measurement
- Gathering​ ​requirements,​ ​SLOs,​ ​SLAs,​ ​and​ ​SLIs​ ​(key​ ​performance indicators)

Module 2: Business-Logic Layer Design

- Microservices​ ​architecture
- GCP​ ​12-factor​ ​support
- Mapping​ ​compute​ ​needs​ ​to​ ​Google​ ​Cloud​ ​Platform​ ​processing services
- Compute​ ​system​ ​provisioning

Module 3: Data Layer Design

- Classifying and characterizing data
- Data​ ​ingest​ ​and​ ​data​ ​migration
- Identification​ ​of​ ​storage​ ​needs​ ​and​ ​mapping​ ​to​ ​Google​ ​Cloud Platform​ ​storage​ ​systems

Module 4: Presentation Layer Design

- Network​ ​edge​ ​configuration
- Network​ ​configuration​ ​for​ ​data​ ​transfer​ ​within​ ​the​ ​service,​ ​including load​ ​balancing​ ​and​ ​network​ ​location
- Network​ ​integration​ ​with​ ​other​ ​environments,​ ​including​ ​on​ ​premise and​ ​multi-cloud

Module 5: Design for Resiliency, Scalability, and Disaster Recovery

- Failure due to loss of resources
- Failure due to overload
- Strategies for coping with failure
- Business​ ​continuity​ ​and​ ​disaster​ ​recovery,​ ​including​ ​restore​ ​strategy and​ ​data​ ​lifecycle​ ​management
- Scalable​ ​and​ ​resilient​ ​design

Module 6: Design for Security

- Google​ ​Cloud​ ​Platform​ ​security
- Network​ ​access​ ​control​ ​and​ ​firewalls
- Protections​ ​against​ ​denial​ ​of​ ​service
- Resource​ ​sharing​ ​and​ ​isolation
- Data encryption and key management
- Identity​ ​access​ ​and​ ​auditing

Module 7: Capacity Planning and Cost Optimization

- Capacity Plannin
- Pricing

Module 8: Deployment, Monitoring and Alerting, and Incident Response

- Deployment
- Monitoring and alerting
- Incident response
- Preparing for the Professional Cloud Architect Examination (PPCAE)

During this part of the course you will get a basic overview of the Professional Cloud Architect exam, review the sample case studies, and review each section of the exam. You´lll be able to identify skill gaps and further areas of study and be pointed to appropriate target learning resources.

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.
- Test/Exam Simulations, Reinforcement, Q&A