Oreilly – Google Cloud Platform Associate Cloud Engineer 2024-5

Google Cloud Platform Associate Cloud Engineer course. This video course will help you prepare for the Google Cloud Associate Cloud Engineer exam. The course includes examples and sample exam questions. Whether you’re planning to take the cloud engineering certification exam or just looking to increase your knowledge of Google Cloud technologies, this course will cover everything you need to pass the exam as well as acquire the essential skills to become a cloud engineer. A successful engineer in Google Cloud will teach you what you need. Course instructor Victor Dantas introduces you to the vast world of Google Cloud services and how to use them to deploy applications, monitor operations, and manage enterprise solutions in GCP.

During the video course, Victor has covered all the topics of the test by analyzing and extracting the most important concepts required, along with the use of examples and visual images that help to better understand difficult and abstract concepts. Each section also includes software demos and sample exam questions that test your knowledge in the same way you’ll encounter it on cloud engineering exam day. Even if you don’t plan to take the exam, these questions will help you hone your skills as a Google Cloud engineer. At the end of the course, you will understand key technical concepts and be prepared to take the ACE exam.

What you will learn

• Associate Cloud Engineer Certification Overview: This section provides you with information about the exam and its objectives, as well as some practical details you need to take the exam. By the end of this section, you should have a good understanding of what you will encounter on the exam.
• Setting up a cloud solution: This section covers the basic environmental tasks that a cloud engineer must perform. These include setting up cloud projects and accounts, managing billing configurations, and installing and configuring the command line interface.
• Planning and configuring a cloud solution: This section goes deeper into the platform, including planning and estimating the use of Google Cloud products, planning and configuring computing resources, planning and Configure data storage options and plan and configure network resources.
• Deploying and implementing a cloud solution: This section covers common practical tasks that a cloud engineer performs when working with Google Cloud solutions. These include the deployment and implementation of virtual machines and computing platforms, databases, network resources, and infrastructure as code.
• Ensuring successful operation of a cloud solution: This section deals with how to operate and maintain existing solutions. This includes managing compute, data, and network resources, as well as monitoring and logging, two critical products for successful operations.
• Configuring access and security (Configuring access and security): This section focuses on the security of access to Google Cloud resources and identity and access management (Identity and Access Management) and then managing service accounts.

This course is suitable for people who:

• IT professionals who are looking to take the Google Cloud beginner cloud engineering exam.
• IT professionals with more than 6 months of experience using Google Cloud.
• Cloud engineers without experience with Google Cloud but with experience in other cloud platforms (public or private) can also participate in this course.

Google Cloud Platform Associate Cloud Engineer course details

• Publisher: Oreilly
• Lecturer: Victor Dantas
• Training level: beginner to advanced
• Training duration: 6 hours and 43 minutes

Course headings

• Introduction
• Google Cloud Platform Associate Cloud Engineer: Introduction
• Module 1: Associate Cloud Engineer Certification Overview
• Module Introduction
• Lesson 1: Exam Overview
• Learning objectives
• 1.1 About this certification exam
• 1.2 Exam guide
• Module 2: Setting up a cloud solution environment
• Module Introduction
• Lesson 2: Setting up cloud projects and accounts
• Learning objectives
• 2.1 Creating a resource hierarchy
• 2.2 Applying organizational policies to the resource hierarchy
• 2.3 Granting members IAM roles within a project
• 2.4 Managing users and groups in Cloud Identity (manually and automated)
• 2.5 Enabling APIs within projects
• 2.6 Provisioning and setting up products in Google Cloud’s operations suite
• 2.7 Questions breakdown
• Lesson 3: Managing billing configuration
• Learning objectives
• 3.1 Creating one or more billing accounts
• 3.2 Linking projects to a billing account
• 3.3 Establishing billing budgets and alerts
• 3.4 Setting up billing exports
• 3.5 Questions breakdown
• Lesson 4: Installing and configuring the command line interface (CLI)
• Learning objectives
• 4.1 Installing the Cloud SDK
• 4.2 Setting default configurations
• 4.3 Questions breakdown
• Module 3: Planning and configuring a cloud solution
• Module Introduction
• Lesson 5: Planning and estimating Google Cloud product use
• Learning objectives
• 5.1 Using the Pricing Calculator
• 5.2 Questions breakdown
• Lesson 6: Planning and configuring compute resources
• Learning objectives
• 6.1 Selecting appropriate compute choices
• 6.2 Using preemptible VMs and custom machine types
• 6.3 Questions breakdown
• Lesson 7: Planning and configuring data storage options
• Learning objectives
• 7.1 Selecting an appropriate database choice
• 7.2 Choosing storage options
• 7.3 Questions breakdown
• Lesson 8: Planning and configuring network resources
• Learning objectives
• 8.1 Differentiating load balancing options
• 8.2 Identifying resource locations for availability
• 8.3 Configuring Cloud DNS
• 8.4 Questions breakdown
• Module 4: Deploying and implementing a cloud solution
• Module Introduction
• Lesson 9: Deploying and implementing Compute Engine resources
• Learning objectives
• 9.1 Launching a compute instance using the console and gcloud
• 9.2 Creating an autoscaled managed instance group using an instance template
• 9.3 Generating/uploading a custom SSH key for instances
• 9.4 Installing and configuring the Cloud Monitoring and Logging Agent
• 9.5 Assessing compute quotas and requesting increases
• 9.6 Questions breakdown
• Lesson 10: Deploying and implementing Google Kubernetes Engine (GKE) resources
• Learning objectives
• 10.1 Installing and configuring the CLI for Kubernetes (kubectl)
• 10.2 Deploying a GKE cluster with different configurations
• 10.3 Deploying a containerized application to GKE
• 10.4 Configuring GKE monitoring and logging
• 10.5 Questions breakdown
• Lesson 11: Deploying and implementing Cloud Run and Cloud Functions resources
• Learning objectives
• 11.1 Deploying an application and updating configurations
• 11.2 Deploying an application that receives Google Cloud events
• 11.3 Questions breakdown
• Lesson 12: Deploying and implementing data solutions
• Learning objectives
• 12.1 Initializing data systems with products
• 12.2 Loading data
• 12.3 Questions breakdown
• Lesson 13: Deploying and implementing networking resources
• Learning objectives
• 13.1 Creating a VPC with subnets
• 13.2 Launching a Compute Engine instance with custom network configuration
• 13.3 Creating ingress and egress firewall rules for a VPC
• 13.4 Creating a VPN between a Google VPC and an external network
• 13.5 Creating a load balancer to distribute application network traffic
• 13.6 Questions breakdown
• Lesson 14: Deploying a solution using Cloud Marketplace
• Learning objectives
• 14.1 Browsing the Cloud Marketplace catalog
• 14.2 Deploying a Cloud Marketplace solution
• 14.3 Questions breakdown
• Lesson 15: Implementing resources via infrastructure as code
• Learning objectives
• 15.1 Building infrastructure via Cloud Foundation Toolkit templates
• 15.2 Installing and configuring Config Connector in GKE
• 15.3 Questions breakdown
• Module 5: Ensuring successful operation of a cloud solution
• Module Introduction
• Lesson 16: Managing Compute Engine resources
• Learning objectives
• 16.1 Managing a single VM instance
• 16.2 Remotely connecting to the instance
• 16.3 Attaching a GPU to a new instance and installing necessary dependencies
• 16.4 Viewing current running VM inventory
• 16.5 Working with snapshots
• 16.6 Working with images
• 16.7 Working with instance groups
• 16.8 Working with management interfaces
• 16.9 Questions breakdown
• Lesson 17: Managing Google Kubernetes Engine resources
• Learning objectives
• 17.1 Viewing current running cluster inventory
• 17.2 Browsing Docker images and viewing their details in the Artifact Registry
• 17.3 Working with node pools
• 17.4 Working with pods
• 17.5 Working with services
• 17.6 Working with stateful applications
• 17.7 Managing Horizontal and Vertical autoscaling configurations
• 17.8 Working with management interfaces
• 17.9 Questions breakdown
• Lesson 18: Managing Cloud Run resources
• Learning objectives
• 18.1 Adjusting application traffic-splitting parameters
• 18.2 Setting scaling parameters for autoscaling instances
• 18.3 Determining whether to run Cloud Run (fully managed) or Cloud Run for Anthos
• 18.4 Questions breakdown
• Lesson 19: Managing storage and database solutions
• Learning objectives
• 19.1 Managing and securing objects in and between Cloud Storage buckets
• 19.2 Setting object life cycle management policies for Cloud Storage buckets
• 19.3 Executing queries to retrieve data from data instances
• 19.4 Estimating costs of data storage resources
• 19.5 Backing up and restoring database instances
• 19.6 Reviewing job status in Dataproc, Dataflow, or BigQuery
• 19.7 Questions breakdown
• Lesson 20: Managing networking resources
• Learning objectives
• 20.1 Adding a subnet to an existing VPC
• 20.2 Expanding a subnet to have more IP addresses
• 20.3 Reserving static external or internal IP addresses
• 20.4 Working with CloudDNS, CloudNAT, Load Balancers and firewall rules
• 20.5 Questions breakdown
• Lesson 21: Monitoring and logging
• Learning objectives
• 21.1 Creating Cloud Monitoring alerts based on resource metrics
• 21.2 Creating and ingesting Cloud Monitoring custom metrics
• 21.3 Configuring log sinks to export logs to external systems
• 21.4 Configuring log routers
• 21.5 Viewing and filtering logs in Cloud Logging
• 21.6 Viewing specific log message details in Cloud Logging
• 21.7 Using cloud diagnostics to research an application issue
• 21.8 Viewing Google Cloud status
• 21.9 Questions breakdown
• Module 6: Configuring access and security
• Module Introduction
• Lesson 22: Managing Identity and Access Management (IAM)
• Learning objectives
• 22.1 Viewing IAM policies
• 22.2 Creating IAM policies
• 22.3 Managing the various role types and defining custom IAM roles
• 22.4 Viewing audit logs
• 22.5 Questions breakdown
• Lesson 23: Managing service accounts
• Learning objectives
• 23.1 Creating service accounts
• 23.2 Using service accounts in IAM policies with minimum permissions
• 23.3 Assigning service accounts to resources
• 23.4 Managing IAM of a service account
• 23.5 Managing service account impersonation
• 23.6 Creating and managing short-lived service account credentials
• 23.7 Questions breakdown
• Summary
• Google Cloud Platform Associate Cloud Engineer: Summary

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