Exam Tips: Google Cloud Professional (GCP) Professional Cloud Developer
1h 12mIntermediate2022-07-21
Authors
Albert Padin
Google Developer Expert in GCP and machine learning
Course details
Getting certified as a Professional Cloud Developer can have a major effect on your career. It vets your ability to build and manage highly scalable and reliable cloud-native applications. In this course, instructor Albert Padin gives you a high-level overview of the Google Cloud Platform (GCP) Professional Cloud Developer certification exam. Explore the most important topics and skills you need to know so you can ace each unique section of the exam. Learn about designing, building and testing, deploying, integrating, and successfully managing secure applications. Get tips for syncing up with Google Cloud Services and monitoring your performance with commonly used tools. Along the way, Albert shares strategies for time management and effective study planning. That way, you don’t fall behind, or waste time on the day of the exam.
Skills covered
Google Cloud PlatformSoftware Development ToolsGoogleCloud PlatformsCert PrepCloud ComputingSoftware Development
Concepts
0. Introduction
- 01 - What's the Cloud Professional Cloud Developer certification
- 02 - What you should know
1. Design Scalable, Available, Reliable Cloud-Native Apps
- 03 - Designing high-performing applications and APIs
- 04 - Designing secure cloud applications
- 05 - Managing application data in the cloud
- 06 - Migrating legacy applications into the cloud
2. Build and Test Applications
- 07 - Google Cloud Developer tools
- 08 - How to code for the cloud
- 09 - Testing applications in the cloud
- 10 - Continuous integration and deployment
3. Deploy Applications
- 11 - Common cloud deployment strategies
- 12 - Deployments on Compute Engine
- 13 - Deployments on Google Kubernetes Engine (GKE)
- 14 - Deployments on Cloud Functions
- 15 - Security best practices using Service accounts
4. Integrate Google Cloud Services
- 16 - Object storage with Google Cloud Storage
- 17 - Persistent disks, local SSDs, and FileStore
- 18 - Service discovery in GKE and Compute Engine
5. Manage Application Performance Monitoring
- 19 - Cloud Logging and Cloud Monitoring
- 20 - Cloud Trace and Cloud Profiler
- 21 - Cloud Operations for Google Kubernetes Engine
Conclusion
- 22 - Next steps