For every colony of bees, there are many workers and only one queen. In companies that are deploying applications to the cloud, that quintessential VIP role is the cloud architect. In this course, you will explore the role of a cloud architect, including job responsibilities, main activities, and key skills. Discover how the cloud architect role differs from other cloud-focused roles, such as a cloud developer or DevOps engineer. Then, focus on the Google Professional Cloud Architect exam to identify exam preparation resources and investigate practice questions to see what the exam might be like. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

Google Cloud architects must use good judgment in assessing technical solutions and address key factors for business success when deploying software in the cloud. In this course, you will learn how different use cases can affect the scope of a project. Explore ways to balance different needs, including key features in application design, cost considerations, integration with other systems, accessing large quantities of data, governance through compliance and regulations, and security. Learn about ways to measure the success of a cloud deployment. Finally, explore how this course relates to commonly seen exam questions. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

Though a cloud architect must focus on the business needs of an organization, they will be wildly ineffective without a thorough understanding of the technical requirements of a project that are used to meet those business needs. In this course, you will explore high availability, scalability, and reliability - the three main categories of those technical requirements. You will discover how each of those requirements is integrated into decisions made regarding the compute, storage, networking, and application design decisions. Finally, you will examine use cases that you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

Building a virtual universe of virtual machines or containers is one of the first ways that many IT organizations start migrating to the cloud. Compute services are Infrastructure as a Service (IaaS) elements of Google Cloud. In this course, discover the compute resources available from Google Cloud platform and the distinctive features and elements of control for each. Explore Google Compute Engine (GCE), Google Kubernetes Engine (GKE), App Engine, and Cloud Functions. Next, focus on the differences between different flavors within these services, such as the difference between preemptible and standard virtual machines, or between App Engine Standard and App Engine Flexible. Then, find out how network configuration based on Infrastructure as code (IaC) is used. Finally, investigate how the content in this course relates to the use cases that you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

Application project management has largely left the monolithic Waterfall methodology behind in favor of the more lightweight and flexible Agile approach. Application hosting has also been overhauled where the compute environment is not an entire dedicated VM and OS, and instead, containerized applications provide a scalable, modular, and flexible approach. In this course, learn the ways Google Cloud provides containers that can be cloud-hosted and the business cases that drive each method. Next, practice deploying containers to Google Compute Engine (GCE), Google Kubernetes Engine (GKE), and Google Cloud Run. Finally, explore how the course content relates to the use cases commonly encountered in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

As capable as individual systems can be in the cloud, unless they can network effectively, they won't be of much use in today's interconnected world. Discover how to configure network topologies in Google Cloud to support your business needs. Explore cloud-native network design, including virtual private cloud (VPC), managing peering between networks, and controlling firewalls between networks. Then, investigate container networking similarities and differences and hybrid network creation to connect to on-premises or multicloud networks. Learn how to define important security controls, like intrusion protection and firewalls. Finally, you will focus on types of use cases that you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

There are very few pieces of software that don't need the ability to store data for some length of time. Google Cloud provides many types of data storage depending on your business needs. In this course, you will learn how data storage allocation with storage buckets is managed in Google Cloud. You will explore how data processing and compute store provisioning is accomplished and how to maximize the network configuration to support minimal latency during data transfers. Then, see what tools are available for you to control data retention and data life cycle management and how to best plan for data growth over time. Finally, you will investigate use cases that you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

Managing organized data for efficient retrieval through queries is the job of a database. Google Cloud provides several types of databases depending on your business needs. In this course, examine some business cases for using relational databases such as MySQL, PostgreSQL, or SQL Server. Next, explore a business scenario for solutions involving NoSQL databases in addition to the options and settings available when rolling out either relational or NoSQL database types. Finally, study Google use cases for potential database design decisions in Google case studies. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

One of the top reasons organizations have historically been reluctant to embrace cloud technologies is the fear that security is not robust enough for their needs. A cloud architect and Google Cloud Identity and Access Management (IAM) can help to address these security concerns. In this course, discover how to control authentication and authorization using IAM and implement cloud separation of duties. Next, learn how to organize a resource hierarchy, use auditing and policy security controls, secure access to network controls and storage with IAM, and remote access your environment securely. Finally, examine use cases you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

Cryptography is one of the most important cornerstones to modern cybersecurity. Encryption is a particularly vital part of maintaining an environment that is compliant and trustworthy to customers. In this course, you will learn how Google Cloud manages the various types of keys that are used to perform cryptography. You will explore the different ways encryption can be applied to data at rest as well as data in transit. You will discover how secrets are kept in Google Cloud. Finally, you will focus on use cases that you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

Compliance is a significant concern for many organizations, and many have historically failed to protect data adequately. In this course you will explore how governance has come to protect data, such as health records, through legislation like HIPAA and COPPA. Then, discover how commercial interests have helped bolster financial stability by setting standards of protecting data via certifications like Personally Identifiable Information (PII) and Payment Card Industry Data Security Standard (PCI DSS) that allow customers and businesses to trust you. In addition, there are specific industry certifications that may need to be met depending on the function of the business you run, rather than the data you keep. You will also focus on the need to maintain careful auditing standards for the integrity of any legal disputes that might arise. Finally, you will focus on use cases that you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

As a cloud architect, it is critical that you are able to facilitate teams in the technical process of creating your solution. In this course, you will learn how to guide teams in using the software development life cycle (SDLC) and how to design with an expectation of continuous integration and continuous delivery. You will investigate how to best test and validate the software and cloud infrastructure that supports it. Then, you will discover how the service catalog can help you in your provisioning process. Next, you will examine business continuity and disaster recovery needs to be mandated in order to provide a safety net if failure should occur. Finally, you will focus on use cases that you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

As an architect, you cannot stand alone. You are a bridge between the developers and project managers creating your solutions and the business executives informing you of their business needs. In this course, you will learn how to manage stakeholders that may influence or facilitate the creation of your final product. Explore how to best plan for change management, assess your teams to confirm they have the skills needed to deploy your solution, and recognize best practices for making good decisions throughout the product life cycle. You will also learn how to manage customer success and optimize costs in a cloud environment. Finally, you will look at how the content in this course relates to the use cases you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

No Google Cloud architect wants their project to fail - you want to ensure a reliable system that can process the workloads you send it. In this course, learn how to leverage tools such as Google Cloud's operations suite to help you avoid and mitigate failures. Explore how methods of release management can provide opportunities for addressing issues in a current deployment. Learn how to test the quality of your applications and develop procedures to ensure reliability in solutions, such as chaos engineering. Finally, explore how this course relates to commonly seen exam questions. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

There is no single way for application development to progress. Both linear and non-linear approaches have their advantages depending on the scope of use, such as types of platforms it will run on, and the expectations of change, such as regular updates or seasonal features. Explore various application development methodologies like waterfall, spiral, and Agile. Learn about different aspects of development that will lead to successful implementations, such as anticipating technical debt, using API best practices, and using validating testing techniques. Examine methods for developers to interact programmatically with the Google Cloud infrastructure, including Google Cloud Shell, Gcloud, gutil, and bq. Finally, you will take a moment to focus on use cases that you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.

Moving to the cloud is often an important step toward future stability, but it requires significant risk. The migration to cloud services takes planning and effort to ensure it goes smoothly. In this course, you will learn how take a migration in stages and perform key steps in each stage. You will see that you must keep in mind critical elements of a migration, such as integration with existing systems, mapping of licensing to a new ecosystem, and planning for the creation of a network environment that supports business needs and includes authentication services that allow for seamless transfer of access. Examine the tools used to migrate both systems and data and then how to perform testing and proof-of-concept deployment. Finally, you will consider how the content in this course relates to the use cases you can expect to encounter in an exam environment. This course is one of a collection that prepares learners for the Google Professional Cloud Architect exam.