01
Google Cloud VPC Networking Fundamentals
Recall that networks belong to projects.
Explain the differences among default, auto, and custom networks.
Create networks and subnets.
Explain how IPv4 addresses are assigned to Compute Engine instances.
Publish domain names using Google Cloud DNS.
Create Compute Engine instances with IP aliases.
Create Compute Engine instances with multiple virtual network.
02
Controlling Access to VPC Networks
Outline how IAM policies affect VPC networks.
Control access to network resources using service accounts.
Control access to Compute Engine instances with tag-based firewall rules.
03
Sharing Networks across Projects
Outline the overall workflow for configuring Shared VPC.
Differentiate between the IAM roles that allow network resources to be managed.
Configure peering between unrelated VPC Networks.
Recall when to use Shared VPC and when to use VPC Network Peering.
04
Load Balancing
Recall the various load balancing services.
Configure Layer 7 HTTP(S) load balancing.
Whitelist and blacklist IP traffic with Cloud Armor.
Cache content with Cloud CDN.
Explain Layer 4 TCP or SSL proxy load balancing.
Explain regional network load balancing.
Configure internal load balancing.
Recall the choices for enabling IPv6 Internet connectivity for Google Cloud load balancers.
Determine which Google Cloud load balancer to use when.
05
Hybrid Connectivity
Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud.
Explain Dedicated Interconnect and Partner Interconnect.
Describe the workflow for configuring a Dedicated Interconnect.
Build a connection over a VPN with Cloud Router.
Determine which Google Cloud interconnect service to use when.
Explain Direct Peering and Partner Peering.
Determine which Google Cloud peering service to use when.
06
Networking Pricing and Billing
Recognize how networking features are charged for.
Use Network Service Tiers to optimize spend.
Determine which Network Service Tier to use when.
Recall that labels can be used to understand networking spend.
07
Network Design and Deployment
Explain common network design patterns.
Configure Private Google Access to allow access to certain Google Cloud services from VM instances with only internal IP addresses.
Configure Cloud NAT to provide your instances without public IP addresses access to the internet.
Automate the deployment of networks using Deployment Manager or Terraform.
Launch networking solutions using Cloud Marketplace.
08
Network Monitoring and Troubleshooting
Configure uptime checks, alerting policies and charts for your network services.
Use VPC Flow Logs to log and analyze network traffic behavior.
Trần Tuấn Anh
IT
Nguyễn Ngọc Minh Thy
Data Engineer
Trương Quốc Thắng
Data Engineer
Phạm Văn Hùng
IT
Dương Minh Phương
Engineer
Cloud Ace is a Google Cloud training unit, so it does not organize exams and provide Google Cloud certifications. Cloud Ace only supports providing certificates of course completion for students while waiting for the Google Cloud certification exam
In addition, if you want to take the Google Cloud certification exam, Cloud Ace will guide you to register for the Online or Offline exam at the authorized Google Cloud test centers in Vietnam.
Of course, during the learning process, you will constantly be solving quizzes, simulated mock tests that are similar to Google Cloud's actual exam questions. In addition, Cloud Ace also provides Dump questions that are constantly updated with question types, exam questions from Google Cloud to help you have the best preparation for the exam.
Of course. You will be supported by Cloud Ace during the learning process and even at the end of the course. You can interact with the Trainer via Slack, email hoặc qua Group Google Cloud Plartform User HCM để được các Trainer hỗ trợ nhé.
After completing the course, if you have any questions about the knowledge or have difficulties in implementing the project on Google Cloud, you can contact the Trainer for answers.
The Google Cloud course is not only suitable for software engineers or system development engineers, but also suitable for data processing engineers such as Data Analytics, Data Engineer, Data Scientist.
In addition, if you are a Marketer or working in the field of finance, banking, e-commerce, logistics .... constantly faced with big data to solve, then you can refer to the courses Big Data Machine Learning Fundamental or From Data to Insight on Google Cloud Platform courses to refer to simple data processing and create professional reports on Google Cloud.
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