Description
Google Cloud Platform Associate Cloud Engineer
5+ Hours of Video Instruction
Get ready to take on the Google Cloud Associate Cloud Engineer exam through examples and sample exam questions.
Whether youre preparing to take the Associate Cloud Engineer certificate exam or are just interested in deepening your knowledge of Google Cloud technologies, the Google Cloud Platform Associate Cloud Engineer video course will teach you all you need to know to pass the exam but also to equip you with the fundamental skills to excel as a Google Cloud engineer. Author and trainer Victor Dantas takes you through the vast landscape of Google Cloud services and how to use those services to deploy applications, monitor operations, and manage enterprise solutions on GCP.
Throughout the video course, Victor has covered every objective in the exam by breaking them down and distilling the most important concepts you need to know with the uses of examples and visuals that will help you internalize difficult and abstract concepts. Each module also includes demos and sample exam questions, which will test your knowledge in precisely the same way the Associate Cloud Engineer exam will on test day. Even if youre not taking the exam, these questions will help you develop your Google Cloud skills as an engineer. By the end of the course, you will understand the key technical concepts and be prepared to take on the ACE exam.
Topics covered include:
Associate Cloud Engineer Certification overview provides you with an overview of the exam and the exam objectives as well as some of the practical details you need to know for taking the exam. By the end of this module, you should have a good understanding of what to expect on the exam.
Setting up a cloud solution covers environment foundational tasks that a cloud engineer needs to perform. That includes setting up cloud projects and accounts, managing billing configuration, and installing and configuring the command line interface.
Planning and configuring a cloud solution is a deeper dive into the platform, including planning and estimating Google Cloud product use, planning and configuring compute resources, planning and configuring data storage options, and planning and configuring network resources.
Deploying and implementing a cloud solution covers the common hands-on tasks that a cloud engineer performs when working with Google Cloud solutions. From deploying and implementing virtual machines and compute platforms, to databases, to network resources, to doing infrastructure as code
Ensuring successful operation of a cloud solution dives into how to operate and maintain existing solutions. This covers how to manage compute, data, and networking resources, and also monitoring and logging, two crucial products for successful operations.
Configuring access and security focuses on securing access to Google Cloud resources and managing Identity and Access Management then on to Managing service accounts.
Skill Level:
Beginner-Intermediate
Learn How To:
Set up a cloud solution environment
Plan and configure a cloud solution
Deploy and implement a cloud solution
Ensure successful operation of a cloud solution
Configure access and security
Who Should Take This Course:
IT Professionals looking to take the Google Cloud Platform Associate Cloud Engineer exam.
IT professionals with 6+ months of experience using Google Cloud.
Cloud engineers without experience with Google Cloud but experienced in other cloud platforms (public or private) may also take this course.
Table of Contents
Module 1: Associate Cloud Engineer Certification Overview
Lesson 1: Exam Overview
1.1 About this certification exam
1.2 Exam guide
Module 2: Setting up a cloud solution environment
Lesson 2: Setting up cloud projects and accounts
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 Clouds operations suite
2.7 Questions breakdown
Lesson 3: Managing billing configuration
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)
4.1 Installing the Cloud SDK
4.2 Setting default configurations
4.3 Questions breakdown
Module 3: Planning and configuring a cloud solution
Lesson 5: Planning and estimating Google Cloud product use
5.1 Using the Pricing Calculator
5.2 Questions breakdown
Lesson 6: Planning and configuring compute resources
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
7.1 Selecting an appropriate database choice
7.2 Choosing storage options
7.3 Questions breakdown
Lesson 8: Planning and configuring network resources
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
Lesson 9: Deploying and implementing Compute Engine resources
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
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
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
12.1 Initializing data systems with products
12.2 Loading data
12.3 Questions breakdown
Lesson 13: Deploying and implementing networking resources
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
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
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
Lesson 16: Managing Compute Engine resources
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
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
17.5Working 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
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
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
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
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
Lesson 22: Managing Identity and Access Management (IAM)
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
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
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