Oreilly – Google Cloud Platform Associate Cloud Engineer 2024-5

Published on: 2024-07-15 23:21:26

Categories: 28

Description

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