Architecting with Google Cloud Platform (GCP) Training
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GCP is a very popular Cloud Computing provider today. Many services are being added on a daily basis, which just increases the outreach of the domain, thereby helping provide rapid solutions to multiple problems. With the onset of cloud computing and its ever-growing popularity, it becomes vital that you understand the GCP completely. It is really important to have a solid foundation of the same. GCP covers the global infrastructure of GCP and offers a hands-on session to practice the platform and its services.
Google Cloud Platform Training Course Syllabus
✔ Exam Preparation and Study Techniques
✔ Preparation for the GCP Exams
✔ Resources and Study Aids
✔ Passing the Exam, the First Time
✔ Cloud History
✔ Cloud Deployment Models
✔ Cloud Delivery Models
✔ Cloud Computing Benefits and Limitations
✔ Google Cloud Platform (GCP) Infrastructure
✔ Lab: Console and Cloud Shell
✔ Demo: Projects
✔ Lab: Infrastructure Preview
✔ Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
✔ Subnetworks for resource management instead of physical network topology
✔ Lab: Virtual Networking
✔ Lab: Bastion Host
✔ Compute Engine
✔ Lab: Creating Virtual Machines
✔ Compute options (vCPU and Memory)
✔ Common Compute Engine actions
✔ Lab: Working with Virtual Machines
✔ Organizations, Roles, Members, Service accounts, Cloud IAM best practices
✔ Lab: Cloud IAM
✔ Cloud Storage
✔ Lab: Cloud Storage
✔ Cloud SQL
✔ Lab: Cloud SQL
✔ Cloud Spanner, Cloud Datastore
✔ Lab: Cloud Datastore
✔ Cloud Bigtable
✔ Cloud Resource Manager, Quotas, Labels, Names, Billing
✔ Demo: Billing Administration
✔ Lab: Examining Billing Data with BigQuery
✔ Stackdriver, Monitoring
✔ Lab: Resource Monitoring (Stackdriver)
✔ Logging, Error Reporting, Tracing, Debugging
✔ Lab: Error Reporting and Debugging (Stackdriver)
✔ Module 8: Interconnecting Networks
✔ Cloud Virtual Private Network (VPN)
✔ Lab: Virtual Private Networks (VPN)
✔ Cloud Router, Cloud Interconnect, External Peering, Cloud DNS
✔ Managed Instance Groups, HTTPS load balancing, Cross-region, and content-
✔ based load balancing, SSL proxy/TCP proxy load balancing, Network load
✔ Lab: VM Automation and Load Balancing
✔ Autoscaling, Policies, Configuration
✔ Lab: Autoscaling
✔ Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
✔ Lab: Google Cloud Platform API Infrastructure Automation
✔ Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs
✔ App Engine
✔ Containers, Kubernetes Engine, Container Registry Lab: Kubernetes Load
✔ Kubernetes Engine, App Engine, or Containers on Compute Engine
|Live Instructor Based Training With Software|
|Lifetime access and 24×7 support|
|Certification Oriented content|
|Hands-On complete Real-time training|
|Get a certificate on course completion|
|Live Recorded Videos Access|
|Study Material Provided|
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Google Cloud Platform Training FAQ'S
Being the very basic, this is one of the most common Google cloud interview questions and thus also one of the most frequently asked questions at the Google Cloud Computing interview process. The answer to this question can be summarized as follows.
Cloud computing can be defined as the computational power which completely resides on the cloud at all times. It is one of the latest innovations in the internet saga domain and primarily uses the Internet i.e. the Cloud, as its chosen method of delivery. The cloud computing service is truly global and contains no border or geographical restrictions as such.
Starting from small businesses which need computational support on a regular basis all the way up to large enterprises, almost every company on the planet uses Google Cloud in some way or the other.
Similar to the above Google cloud interview question, this too is a question aimed at checking the candidate’s basic understanding of cloud computing technology.
To answer this, a candidate can simply state that the cloud is a combination of network, hardware, storage, interface, and storage that combines and delivers cloud computing as a service throughout the globe. The cloud computing platform mainly has 2 stakeholders in the process.
The first one being the end user who is using the cloud service to serve a multitude of purposes and the next is the cloud service provider who is responsible for taking care of the cloud and IT assets of the managing company behind the cloud services.
A part of the Google cloud interview questions and answers, the answer to this question can be given in the following manner. Like most other states of the art innovations in the market, Cloud Service and Cloud Computing as a whole also have a multitude of features and advantages associated with it. Mentioned below are the same. The ease to access and manage commercial software from anywhere around the globe.
- All the management activities associated with software can and are centralized easily to a central web service.
- The ability to design and develop web applications that are capable of handling multiple clients from across the globe at the same time.
- Putting an end to the need for downloading software upgrades by centralizing and automating the updating process of all software that is installed on the platform.
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The main idea behind the creation of the cloud and publishing cloud services to consumers around the world was because of its greatest advantages. Here are some of them:
- The entire infrastructure saves a lot of cost at the consumer’s end since the consumer doesn’t necessarily have to install any kind of infrastructure at their end to use this service.
- It supports the development of both robust and highly scalable applications. Since its arrival, the whole development and scaling process which earlier used to take months can now be done in a matter of days.
- Maintenance and deployment of any application on the platform are super easy and efficient which saves a lot of time in the long run.
Since its inception into the market, cloud computing has created a revolution of sorts in the market. The main idea behind the cloud computing revolution doesn’t lie in the ideology of doing old things a new way, but also to make the entire process cheaper and much more efficient in the long run.
With the advancement of cloud computing every day, new doors are being explored and the future of the IT industry does seem very promising.