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Exam Overview

The Professional Cloud Developer certification exam is a 2-hour test covering the multiple-choice and multiple-select questions. It can be taken in English or Japanese and is available as an online proctored and an on-site proctored exam. The registration process costs $200, and this is for the delivery of a single test. The candidates who do not pass the exam must retake it to obtain the associated certificate. To do this, they must pay a new exam fee for their retake.

This certification exam measures your ability to perform various tasks required for the successful functioning of different processes. The details of its topics are enumerated below:

Designing Highly Available, Reliable, and Scalable Cloud-Native Apps

Application Modernization: It covers the learners’ skills in using managed services, designing horizontally state-less scalable services, refactoring the monolith to micro-services, and understanding the Google-recommended practices and documentation.
Design Secure Applications: This topic covers the details, which include security mechanisms securing and protecting services and resources as well as app manifests & binaries. It also involves the skills in implementing the appropriate prerequisites for applicable applications. You should know about rotating & storing application keys & secrets, validating processes of the Google service, service-to-service communications, and IAM roles for groups/service/user accounts. The subtopic also covers your knowledge of how to run the services that have the least privileged access, data retention prerequisites, and certificate-based validation.
Manage Application Data: The considerations for this subdomain include data volume, structured versus unstructured data, strong versus eventual consistency, and data access frequency within Cloud Storage.
Design High Performing APIs and Applications: The considerations for this subject area include Microservices, scaling velocity tradeoffs/characteristics of IaaS vs. CaaS vs. PaaS, Geographic distribution of Google Cloud services, and user session management. It also covers the domains, such as caching solutions, securing & deploying API services, Google-recommended documentation & practices, and refined shutdown on the platform termination. The learners should also be able to explain the key structure of high-write apps with the use of Cloud Storage, Cloud SQL, Cloud Spanner, and Cloud Bigtable.

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Section 2: Building & Testing Apps

To answer the questions related to this section, the test takers should be capable of setting up their local development environment as well as writing efficient code. It also measures the ability of the candidates to perform testing, including unit testing, integration testing, performance testing, and load testing. They should also demonstrate that they know how to perform building. This involves executing source control management; creating secure container images from code; developing a continuous integration pipeline with the help of services that construct deployment artifacts; reviewing & improving continuous integration pipeline effectiveness.

Reference: https://cloud.google.com/certification/cloud-developer

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How much Google Professional Cloud Developer Exam cost

Google Professional Cloud Developer exam cost is $120 USD(40% discount on retail price of $200 USD).

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Designing highly scalable, secure, and reliable cloud-native applications	32%	- Designing secure applications 1. Applying security best practices and compliance requirements 2. Securing data in transit and at rest 3. Implementing authentication and authorization mechanisms - Designing for observability and monitoring 1. Planning logging, metrics, and tracing strategies 2. Designing for debugging and troubleshooting - Designing high-performing applications and APIs 1. Selecting appropriate compute and deployment platforms 2. Optimizing for latency and throughput 3. Designing for high availability and fault tolerance
Topic 2: Configuring cloud-native applications for deployment	24%	- Deploying applications to Cloud Run 1. Configuring scaling, networking, and security 2. Integrating with event-driven services 3. Deploying from source code or containers - Deploying applications to Google Kubernetes Engine 1. Configuring scaling, auto-scaling, and updates 2. Managing configurations and secrets 3. Creating and managing workloads and services - Deploying to App Engine or Cloud Functions 1. Managing versions and traffic splitting 2. Configuring serverless deployments
Topic 3: Integrating applications with Google Cloud services	21%	- Integrating with data and storage services 1. Working with relational, NoSQL, and in-memory databases 2. Using object storage and file storage solutions 3. Implementing messaging and event streaming - Implementing application performance monitoring 1. Instrumenting code for metrics and traces 2. Using operations suite tools - Consuming Google Cloud APIs and services 1. Enabling and managing APIs 2. Integrating with AI/ML and generative AI services 3. Using client libraries, REST, and gRPC
Topic 4: Building and testing applications	23%	- Setting up development environments 1. Emulating Google Cloud services locally 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations - Testing applications 1. Automating testing in CI/CD workflows 2. Using AI-assisted development tools 3. Writing unit, integration, and end-to-end tests - Building applications and containers 1. Configuring build pipelines and provenance 2. Using Cloud Build and Artifact Registry 3. Implementing containerization best practices