About Google Professional-Cloud-Developer Exam Braindumps

Google Professional-Cloud-Developer exam is a certification exam that tests an individual's ability to develop and deploy applications on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is intended for professionals who have experience in developing cloud-based applications using GCP tools and services. Professional-Cloud-Developer exam covers topics such as GCP infrastructure, application development, debugging, testing, and deployment.

Building & Testing Apps

Building: It covers the skills in managing source control, improving and reviewing continuous efficiency in the integration pipeline, as well as creating different secure container images through code.
Set up a Local Development Environment: This subsection measures your skills in creating different Google Cloud projects, using developing tools and command-line interfaces, Cloud Shell tools, and Google Cloud Console, as well as imitating Google Cloud services for the development of the local application.
Write Efficient Code: The potential candidates should understand algorithm design, software development methodologies, modern app patterns, and debugging & profiling code.
Testing: Here, an applicant needs to have the skills in unit testing, performance testing, integration testing, and load testing.

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

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The Professional-Cloud-Developer exam consists of multiple-choice questions and practical scenarios that test the candidate's ability to design, develop, and deploy applications on Google Cloud Platform. Professional-Cloud-Developer exam covers various topics, including cloud architecture, data storage, networking, security, and application development. Candidates are expected to demonstrate their knowledge of Google Cloud Platform services, such as Cloud Storage, Cloud SQL, Cloud Functions, and Cloud Pub/Sub.

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Google Professional-Cloud-Developer Exam Syllabus Topics:

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