Google Cloud Training

• Introduction to basic concepts of Google Cloud. 
• Learn GCP products and services 
• Gain knowledge of various methods to design, develop and deploy Google cloud solutions 
• Gain deep knowledge of Google Cloud architecture. 
• Understand the Machine Learning role in GCP
• Managing various GCP solutions by using CLI, app and console. 
• Data analysis on Google Cloud.

There are no specific prerequisites to enrol into this Google Cloud course but having prior IT experience would be an added advantage.

• Google Cloud is one of the widely used cloud services across the world. 
• Google cloud is the world's third largest cloud service provider. 
• Increased deployment of Google Cloud Platform has created a large number of job opportunities. 
• According to Forbes the average salary received by a cloud professional is $139,529 per annum. 

Following are the professionals who can advance in their career by learning this skill:

• Software Developers,
• IT Professionals,
• Administrators,
• Project Managers
• Systems and Network Administrators
• Professionals who wish to build applications on SaaS, PaaS and IaaS solutions. 

Yes, upon the successful completion of the Google Cloud training you will receive the course completion certificate from SK Trainings. This certificate is valid across all the top MNCs and simplifies your job search process.

Yes, you will get all assistance from the Google Cloud experts to clear your certification exam. Moreover you will be provided with the experts designed Google Cloud course material to clear your certification exam.

Introduction to Google Cloud services, managing Google services using command-line tools, app, console, installing and configuring SDK, deploying Cloud Shell for GCP environment management, and deploying Gsutil.

Understanding Google computing services, creating and managing of virtual machines in Google Cloud, launching VMs on demand using Google Compute Engine, choosing the right computing solutions based on the workload like memory or vCPU, important actions with Compute Engine, and balancing the load.

Various storage services offered with Google Cloud, the process of storing and retrieving data, rich content management, hosting a website, choosing the right storage options, integrating on-premises with the cloud storage environment, Nearline and Coldline storage, Cloud Datastore, and managing cloud storage using Gsutil.

Deploying Google Cloud for developing applications and for debugging and monitoring purposes, choosing right data storage for application data, automating infrastructure, managing the API, cloud source, functions and special APIs, implementing and configuring Cloud Launcher and Deployment Manager, and application deployment using Cloud Engine.

Introduction to Google networking, setting up the Google network, connecting various Google Cloud Platform resources, isolation using firewalls and network policies, creating and managing of Virtual Private Network, and working with cloud routersand interconnecting networks.

Different security and identity and access management (IAM) services, various roles in IAM, creating and managing Google resources permissions, IAM APIs, the creation of custom roles, sharing resources and isolation, and deploying penetration testing, auditing, and security controls.

Understanding how to migrate to Google Cloud, various criteria to be considered, choosing the right options as per the specific needs, managing a hybrid cloud model, complete migration from the on-premises model to the cloud, and choosing an automation framework for resource provisioning.

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.

1.  All the management activities associated with software can and is centralized easily to a central web service.
2.  The ability to design and develop web applications which are capable of handling multiple clients from across the globe at the same time.
3.  Putting an end to the need of downloading software upgrades by centralizing and automating the updating process of all software that is installed on the platform.

This question is a part of the Google cloud architect interview questions which are asked to candidates interested to work as Cloud Architects for the internet giant. The answer for the same is as below.

The workload in an organization can be defined as an independent service of its own and having a set of code which needs to be executed. This workload contains everything starting from data-intensive workload all the way up to transaction and storage processing. All this workload doesn’t depend at all on outside elements.

The main reasons as to why organizations should manage their workload are as follows.

1. To have an idea about how their applications are running.
2. To exactly know what functions are taking place.
3. To get an idea about the charges of an individual department in exchange for using these services.

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.

With the invention and advancement made in the past few years in the Cloud Computing industry, the need for disks or storage devices has become null and void. These days, any data, be it in any format can be easily stored away for a long period of time, just by uploading it on a cloud computing service.

Once uploaded, the data will remain there forever unless the user wants to make some changes or modifications. Although it is a general question on cloud computing you may find this among Google Cloud interview questions and answers.

This is one of the most basic Google Cloud Platform interview questions and answers that the interviewer may ask the candidate. The answer to this question can be summarized as below.

Google Cloud Platform is a cloud platform developed by Google, that helps people to access the cloud systems and computing services. GCP offers a large number of services under the compute, database, storage, migration and networking domains of cloud computing.

Google Cloud Platform is a medium that provides its users access to the best cloud services and features. It is gaining popularity among the cloud professionals as well as users for the advantages if offer.
Here are the main advantages of using Google Cloud Platform over others –

• GCP offers much better pricing deals as compared to the other cloud service providers
• Google Cloud servers allow you to work from anywhere to have access to your information and data.
• Considering hosting cloud services, GCP has an overall increased performance and service
• Google Cloud is very fast in providing updates about server and security in a better and more efficient manner
• The security level of Google Cloud Platform is exemplary; the cloud platform and networks are secured and encrypted with various security measures.

At the core level, XML API and JSON API are there for the cloud storage on Google Cloud Platform. But along with these, there are following options provided by Google to interact with the cloud storage.

• Google Cloud Platform Console, which performs basic operations on objects and buckets
• Cloud Storage Client Libraries, which provide programming support for various languages including Java, Ruby, and Python
• GustilCommand-line Tool, which provides a command line interface for the cloud storage

This typical and straightforward question is a part of the frequently asked Google Cloud Platform interview questions and answers, and can be answered like this. Google Compute Engine and Google App Engine are complementary to each other. Google Compute Engine is the IaaS product whereas Google App Engine is a PaaS product of Google.

Google App Engine is generally used to run web-based applications, mobile backends, and line of business. If you want to keep the underlying infrastructure in more of your control, then Compute Engine is a perfect choice. For instance, you can use Compute Engine for the implementation of customized business logic or in case, you need to run your own storage system.

This is one of the popular Google Cloud architect interview questions which can be answered as follows. There are different methods for the authentication of Google Compute Engine API:

• Using OAuth 2.0
• Through client library
• Directly with an access token

This is one of the most common Google Cloud interview questions. This typical and straightforward question is a part of the frequently asked Google cloud engineer interview questions and can be answered this way. The projects are the containers for the resources of Google Compute Engine. The main points about the projects are –

>
• The projects comprise the world of compartments
• The projects are not meant for resource sharing
• The projects may have different users and owners
• The billing for all the projects is done separately
• The projects are no more accessible to each other

There are two parameters to identify a project, one is the project id and another one is the project number. The two can be differentiated as follows –

Whenever a new project is created, the project number for that is created automatically whereas the project number is created by the user himself. The project number is compulsory and mandatory while the project id can be optional for may services (but it is a must for the Google Compute Engine).

Simple but one of the best Google Cloud interview questions, this question may be asked in the Google Cloud Engineer interview. So, it is important to cover the basic concepts of projects while going for the Google Cloud interview.

It is a very simple question but based on the deep understanding of the Google cloud platform. This is among best Google Cloud Platform interview questions that can be answered in the following way.

No, it is not possible to retrieve the instances that have been deleted once. If it has been stopped, it can be retrieved back by simply starting it again.

Google Cloud SDK (Software Development Kit), in simple terms, is a set of tools that are used to manage applications and resources that are hosted on the Google Cloud Platform. It is composed of the gsutil, gcloud, and bqcommand line tools. The gcloudtool is automatically downloaded with the Cloud SDK.

There are some prerequisites or the system requirements for the installation of Google Cloud SDK. Google Cloud SDK run on specific platforms – Windows, Linux, and macOS and requires Python 2.7.x. Some specific tools in the Google Cloud SDK may have additional requirements such as Java tools used for the development of Google App Engine requires Java 1.7 or the later one.

You may come across one or more questions on Google Cloud Software Development Kit in your Google Cloud interview. Preferably, this type of questions are among the top Google Cloud Engineer interview questions.

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.

This is one of the most common Google cloud engineer interview questions and can be answered in the following manner. Similar to other complex and latest innovations in the technology industry, the development of cloud computing also calls for the use of a variety of development models. Mentioned is the list of the same.

1. Community Cloud
2. Private Cloud
3. Public Cloud
4. Hybrid Cloud

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:

1. 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.
2. 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.
3. Maintenance and deployment of any application on the platform are super easy and efficient which saves a lot of time in the long run.

Cloud computing as a technology was created on the pillars of providing the functionality to all its users on demand, anytime anywhere. With the latest advancements and easy access to applications such as Google Cloud, the idea is much easily realized than earlier.

With applications like Google Cloud, a user can view the files on the cloud on any device at any time of their preference no matter in which part of the world they are in.

Just like the above question, this is also one of the popular Google Cloud interview questions that you may come across. You can answer it as Google Cloud Platform (GCP) is composed of a set of elements that helps people in different ways. The various GCP elements that I know are –

• Google Compute Engine
• Google Cloud Container Engine
• Google Cloud App Engine
• Google Cloud Storage
• Google Cloud Dataflow
• Google BigQuery Service
• Google Cloud Job Discovery
• Google Cloud Endpoints
• Google Cloud Test Lab
• Google Cloud Machine Learning Engine

The reason for opting Google Cloud Hosting is the advantages it offers. Here are the advantages of choosing Google Cloud Hosting:

• Availability of better pricing plans
• Benefits of live migration of the machines
• Enhanced performance and execution
• Commitment to Constant development and expansion
• The private network provides efficiency and maximum time
• Strong control and security of the cloud platform
• Inbuilt redundant backups ensure data integrity and reliability