"This practice exam consists of 6 sections, each containing 60 questions, covering all the topics included in the certification exam."

The Google Associate Cloud Engineer certification is designed for individuals who are responsible for managing and administering cloud solutions using Google Cloud Platform (GCP). This course focuses on practical skills required to deploy, monitor, and manage applications and infrastructure in Google Cloud. Upon completion of the course, learners will be proficient in utilizing Google Cloud's core services, understanding how to secure cloud resources, and ensuring the efficient use of cloud resources. This course is ideal for those preparing for the Google Associate Cloud Engineer certification exam.

Course Overview

This course provides a comprehensive overview of the skills required to be an effective Google Associate Cloud Engineer. The curriculum covers various Google Cloud services, including compute, storage, networking, security, and management. Learners will explore best practices for provisioning resources, managing networking, monitoring services, and ensuring high availability and scalability in Google Cloud environments.

Key Topics Covered

1. Google Cloud Platform Overview

   • Introduction to Google Cloud Platform (GCP) and its various services.

   • Understanding the Google Cloud Console, Cloud Shell, and Cloud SDK for resource management.

   • Overview of GCP regions, zones, and projects.

2. Managing Cloud Resources

   • Provisioning and managing Google Compute Engine instances.

   • Creating and managing storage solutions, including Google Cloud Storage, Persistent Disks, and Cloud SQL.

   • Configuring and managing virtual machines, network configurations, and other infrastructure.

3. Google Cloud Networking

   • Setting up and configuring Virtual Private Cloud (VPC) networks, subnets, and routing.

   • Managing DNS, Load Balancers, and firewall rules.

   • Understanding Cloud Interconnect and VPN to extend on-premises networks to the cloud.

4. Deploying Applications

   • Deploying applications to Google Cloud using App Engine, Kubernetes Engine, and Compute Engine.

   • Introduction to containerization using Docker and orchestration using Kubernetes.

   • Managing containerized applications using Google Kubernetes Engine (GKE).

5. Security and IAM (Identity and Access Management)

   • Setting up and managing IAM roles, permissions, and policies for controlling access to resources.

   • Implementing secure communication protocols using SSL/TLS and HTTPS.

   • Encrypting data in transit and at rest using Google Cloud's security features.

6. Monitoring and Logging

   • Setting up and configuring Cloud Monitoring and Cloud Logging to monitor resources and services.

   • Understanding the importance of performance metrics, logs, and alerts.

   • Troubleshooting issues by reviewing logs and using Cloud Trace and Cloud Debugger.

7. Automation and Infrastructure as Code

   • Automating resource provisioning and management using Cloud Deployment Manager and Terraform.

   • Understanding the importance of automating infrastructure for scalability and efficiency.

8. Cost Management and Optimization

   • Understanding Google Cloud billing, budgets, and cost management tools.

   • Analyzing cost reports and optimizing resource usage to minimize costs.

Learning Outcomes

Upon completion of the Google Associate Cloud Engineer course, learners will be able to:

1. Provision, configure, and manage compute, storage, and networking services on Google Cloud Platform.

2. Deploy and manage applications using Google Cloud services, including Kubernetes, App Engine, and Compute Engine.

3. Implement security practices, such as setting IAM roles and managing data encryption, to protect cloud resources.

4. Monitor cloud resources and services, identify performance bottlenecks, and troubleshoot issues using Google Cloud's native monitoring tools.

5. Implement automation and infrastructure as code for efficient resource management and scaling.

6. Apply best practices for cost management, ensuring optimized and cost-effective usage of Google Cloud resources.

Prerequisites

• Basic knowledge of IT infrastructure concepts.

• Familiarity with cloud computing principles.

• Some experience with Linux and command-line tools is recommended but not mandatory.