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Description
Practice Exam Overview
This practice exam is designed to comprehensively cover all the topics included in the certification exam. It is divided into 6 sections, with each section containing 60 questions. These sections will help you assess your knowledge across all relevant areas and ensure thorough preparation for the certification exam.
Course Title: Architecting with Google Cloud Platform
Course Overview:
The Google Professional Cloud Architect course provides in-depth training to equip professionals with the knowledge and skills needed to architect solutions and deploy them on Google Cloud. The course covers various aspects of Google Cloud’s infrastructure, networking, security, and management tools to design, implement, and manage cloud solutions that meet business requirements.
This course prepares learners for the Google Cloud Professional Cloud Architect certification exam, focusing on designing and managing highly scalable, reliable, and cost-efficient architectures using GCP services. It focuses on integrating multiple GCP services to support complex business needs while applying industry best practices for security, cost management, and disaster recovery.
Course Topics:
Introduction to Google Cloud Platform (GCP):
Overview of GCP services and their architecture
Benefits of moving to the cloud (e.g., scalability, reliability, security)
Understanding the Google Cloud pricing model and billing
Designing Cloud Architectures:
Choosing appropriate GCP services for different business requirements (e.g., compute, storage, database)
Designing scalable, cost-effective, and secure architectures
Implementing multi-tier architectures using compute resources such as Compute Engine, Kubernetes Engine, App Engine, and Cloud Functions
Managing and Operating Solutions on GCP:
Using Google Cloud tools for monitoring, logging, and automation (e.g., Cloud Operations Suite, Cloud Logging)
Automating deployments using Infrastructure-as-Code tools like Terraform or Cloud Deployment Manager
Managing resources effectively, ensuring scalability, and optimizing performance
Networking and Security in Google Cloud:
Designing and managing networking solutions using Virtual Private Cloud (VPC), subnets, and load balancing
Securing applications and services using Identity and Access Management (IAM), encryption, and security best practices
Configuring private IPs, network peering, and VPN for secure connections between on-premises and cloud-based resources
Data Storage, Databases, and Big Data Solutions:
Managing structured and unstructured data with Cloud SQL, Cloud Spanner, Bigtable, and Cloud Storage
Architecting data pipelines using Dataflow, Pub/Sub, and BigQuery for real-time and batch analytics
Implementing disaster recovery and backup strategies for high availability and data retention
Cost Optimization and Cost Management:
Understanding pricing models for Google Cloud services
Designing solutions to optimize costs while meeting business needs
Managing budgets and setting up billing alerts and quotas
Deployment and Monitoring of Applications:
Building and deploying applications using Kubernetes Engine (GKE) and other services
Continuous integration and continuous deployment (CI/CD) best practices
Monitoring application performance and diagnosing issues with Cloud Monitoring and Cloud Trace
Compliance, Governance, and Best Practices:
Implementing best practices for managing cloud infrastructure and applications
Ensuring compliance with regulations and corporate policies using Cloud Identity, Audit Logs, and Security Command Center
Managing risk and governance for cloud resources
Learning Outcomes:
Upon completing the course, learners will be able to:
Design and implement scalable, reliable, and secure systems on Google Cloud.
Understand the best practices for cost optimization and cost management in the cloud.
Manage complex workloads and integrate various GCP services in a cohesive architecture.
Ensure high availability and disaster recovery capabilities for cloud-based solutions.
Leverage Google Cloud tools for monitoring, logging, and automation of cloud infrastructure.
Understand security principles and apply them to design secure cloud solutions on GCP.
