Cloud Architect Certification - AWS Cloud Architect & GCP Cloud Architect
At architectcert.com, our mission is to provide aspiring cloud architects with the resources and knowledge necessary to pass the Google Cloud, Azure, and AWS architect exam certification tests. We strive to offer comprehensive study materials, practice exams, and expert guidance to help our users achieve their certification goals and advance their careers in the cloud computing industry. Our commitment to excellence and dedication to our users' success sets us apart as a trusted and reliable source for architect exam preparation.
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Introduction
Becoming a certified cloud architect is a great way to advance your career in the IT industry. The Google Cloud, Azure, and AWS Architect exams are some of the most popular certifications in this field. However, preparing for these exams can be challenging, especially if you are new to cloud computing. This cheat sheet provides an overview of the concepts, topics, and categories that you should know when getting started with cloud architecture.
Cloud Computing Basics
Cloud computing is the delivery of computing services over the internet. These services include servers, storage, databases, networking, software, analytics, and intelligence. Cloud computing provides several benefits, including:
- Cost savings: Cloud computing eliminates the need for on-premises hardware and software, which can be expensive to purchase and maintain.
- Scalability: Cloud computing allows you to scale your resources up or down based on your needs.
- Flexibility: Cloud computing provides the flexibility to choose the services and resources that best meet your requirements.
- Security: Cloud computing providers offer robust security features to protect your data and applications.
Cloud Service Models
There are three main cloud service models:
- Infrastructure as a Service (IaaS): IaaS provides virtualized computing resources, including servers, storage, and networking. You are responsible for managing the operating system, applications, and data.
- Platform as a Service (PaaS): PaaS provides a platform for developing, testing, and deploying applications. The cloud provider manages the infrastructure, operating system, and middleware, while you are responsible for the application and data.
- Software as a Service (SaaS): SaaS provides a complete software application that is hosted and managed by the cloud provider. You access the application through a web browser or API.
Cloud Deployment Models
There are four main cloud deployment models:
- Public cloud: Public cloud services are provided by third-party cloud providers, such as Google Cloud, Azure, and AWS. These services are available to anyone who wants to use them.
- Private cloud: Private cloud services are provided by an organization for its own use. The infrastructure is owned and managed by the organization, and the services are not available to the public.
- Hybrid cloud: Hybrid cloud services combine public and private cloud services. This allows organizations to take advantage of the benefits of both models.
- Multi-cloud: Multi-cloud services use multiple cloud providers to meet an organization's needs. This allows organizations to avoid vendor lock-in and take advantage of the best features of each provider.
Google Cloud Platform
Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google. GCP provides several services, including:
- Compute Engine: Compute Engine provides virtual machines that run on Google's infrastructure.
- App Engine: App Engine provides a platform for developing, testing, and deploying web applications.
- Kubernetes Engine: Kubernetes Engine provides a platform for managing containerized applications.
- Cloud Storage: Cloud Storage provides a scalable and durable object storage service.
- BigQuery: BigQuery provides a fully managed, serverless data warehouse.
- Cloud SQL: Cloud SQL provides a fully managed relational database service.
- Cloud Spanner: Cloud Spanner provides a globally distributed, horizontally scalable relational database service.
- Cloud Pub/Sub: Cloud Pub/Sub provides a messaging service for asynchronous communication between applications.
- Cloud Functions: Cloud Functions provides a serverless compute service for running code in response to events.
Azure
Azure is a suite of cloud computing services provided by Microsoft. Azure provides several services, including:
- Virtual Machines: Virtual Machines provides virtual machines that run on Microsoft's infrastructure.
- App Service: App Service provides a platform for developing, testing, and deploying web applications.
- Azure Kubernetes Service: Azure Kubernetes Service provides a platform for managing containerized applications.
- Blob Storage: Blob Storage provides a scalable and durable object storage service.
- Azure SQL Database: Azure SQL Database provides a fully managed relational database service.
- Cosmos DB: Cosmos DB provides a globally distributed, horizontally scalable NoSQL database service.
- Event Grid: Event Grid provides a messaging service for asynchronous communication between applications.
- Azure Functions: Azure Functions provides a serverless compute service for running code in response to events.
AWS
Amazon Web Services (AWS) is a suite of cloud computing services provided by Amazon. AWS provides several services, including:
- Elastic Compute Cloud (EC2): EC2 provides virtual machines that run on Amazon's infrastructure.
- Elastic Beanstalk: Elastic Beanstalk provides a platform for developing, testing, and deploying web applications.
- Elastic Kubernetes Service (EKS): EKS provides a platform for managing containerized applications.
- Simple Storage Service (S3): S3 provides a scalable and durable object storage service.
- Relational Database Service (RDS): RDS provides a fully managed relational database service.
- DynamoDB: DynamoDB provides a globally distributed, horizontally scalable NoSQL database service.
- Simple Notification Service (SNS): SNS provides a messaging service for asynchronous communication between applications.
- Lambda: Lambda provides a serverless compute service for running code in response to events.
Cloud Security
Cloud security is a critical aspect of cloud computing. Cloud providers offer several security features to protect your data and applications, including:
- Identity and Access Management (IAM): IAM allows you to control who can access your resources and what actions they can perform.
- Virtual Private Cloud (VPC): VPC allows you to create a private network within the cloud provider's infrastructure.
- Encryption: Encryption allows you to protect your data at rest and in transit.
- Network Security: Network security features, such as firewalls and security groups, allow you to control network traffic.
- Compliance: Cloud providers offer compliance certifications, such as PCI DSS and HIPAA, to ensure that your data is secure and meets regulatory requirements.
Conclusion
Becoming a certified cloud architect is a great way to advance your career in the IT industry. The Google Cloud, Azure, and AWS Architect exams are some of the most popular certifications in this field. This cheat sheet provides an overview of the concepts, topics, and categories that you should know when getting started with cloud architecture. By understanding these concepts, you can prepare for the exams and become a successful cloud architect.
Common Terms, Definitions and Jargon
1. AWS (Amazon Web Services) - A cloud computing platform that offers a wide range of services for businesses and individuals.2. Azure - A cloud computing platform developed by Microsoft.
3. Cloud Computing - A model of computing that allows users to access shared resources, software, and information over the internet.
4. Virtual Machine - A software program that emulates a physical computer, allowing users to run multiple operating systems on a single machine.
5. Elasticity - The ability of a cloud computing system to scale up or down based on demand.
6. Load Balancing - The process of distributing network traffic across multiple servers to improve performance and reliability.
7. High Availability - A system that is designed to minimize downtime and ensure that services are always available to users.
8. Disaster Recovery - The process of restoring data and services after a catastrophic event such as a natural disaster or cyber attack.
9. Security - The measures taken to protect data and systems from unauthorized access, theft, or damage.
10. IAM (Identity and Access Management) - A service that allows users to manage access to AWS resources.
11. S3 (Simple Storage Service) - A scalable object storage service offered by AWS.
12. EC2 (Elastic Compute Cloud) - A web service that provides resizable compute capacity in the cloud.
13. RDS (Relational Database Service) - A web service that makes it easy to set up, operate, and scale a relational database in the cloud.
14. VPC (Virtual Private Cloud) - A service that allows users to create a private network in the cloud.
15. Route 53 - A scalable DNS (Domain Name System) service offered by AWS.
16. CloudFormation - A service that allows users to create and manage AWS resources using templates.
17. Lambda - A service that allows users to run code without provisioning or managing servers.
18. API Gateway - A service that allows users to create, publish, and manage APIs (Application Programming Interfaces).
19. CloudTrail - A service that provides a record of AWS API calls made on an account.
20. CloudWatch - A monitoring service that provides metrics, logs, and alarms for AWS resources.
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