Answer:- 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

Answer:- 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

Answer:- Google Cloud Engine is the basic component of the Google Cloud Platform. So, it becomes a common question that lies under the Google Cloud Engineer interview questions as well as Google Cloud Architect interview questions. Google Compute Engine is an IaaS product that offers self-managed and flexible virtual machines that are hosted on the infrastructure of Google. It includes Windows and Linux based virtual machines that may run on local, KVM, and durable storage options. It also includes REST-based API for the control and configuration purposes. Google Compute Engine integrates with GCP technologies such as Google App Engine, Google Cloud Storage, and Google BigQuery in order to extend its computational ability and thus creates more sophisticated and complex applications.

Answer:- 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.

Answer:- While working on Google Cloud Platform, the user is charged on the basis of compute instance, network use, and storage by Google Compute Engine. Google Cloud charges virtual machines on the basis of per second with the limit of minimum of 1 minute. Then, the cost of storage is charged on the basis of the amount of data that you store. The cost of the network is calculated as per the amount of data that has been transferred between the virtual machine instances communicating with each other over the network. You should prepare yourself with the questions on Google Cloud Platform pricing models as these are among the most common Google Cloud interview questions.

Answer:- his 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

Answer:- This is one of the most common Google Cloud interview questions and the detailed answer to it can be given this way. The special accounts related to a project are known as the Service Accounts. The service accounts are used for the authorization of Google Compute Engine so that it could perform on behalf of the user and thus could access non-sensitive data and information. These accounts generally simplify the authentication process from Google Cloud Engine to the other services through handling the process of authorization for the user. It is required to mention that service accounts are not used in order to access the information of the user. There are various types of service accounts offered by Google but mainly, users prefer to use two types of service accounts, these are – Google Cloud Platform Console service accounts Google Compute Engine service accounts The user doesn’t need to create a service account manually. It is automatically created by the Compute Engine whenever a new instance is created. Google Compute Engine also specifies the scope of the service account for that particular instance when it is created.

Answer:- 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

Answer:- One needs to follow the below-mentioned steps for creating a Project – • Go to the Google Cloud Platform Console • Once prompted, create a new project or select an existing project • In order to set up billing, follow the prompts. Remember, if you are new to the Google Cloud Platform, you can use your free trial credit to make the payment for your instance.

Answer:- 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).

Answer:- Some default quotas are provided to all the Google Compute Engine projects for various types of resources. The quotas can also be increased on the basis of per-project. One can check the quota limits for the project on the quota page on the Google Cloud Platform Console. In case, you find that you have reached the quota limit for your resources, and you want to increase the quota, then you can make a request to get more quota for some specific resources using IAM quotas page. You can request more quota directly through the Edit Quotas button on the top of the page. Whether you are going for the Google Cloud Architect or Google Cloud Consultant interview, you may come across this type of Google Cloud interview questions. So, prepare yourself very well to crack the interview.

Answer:- 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.

Answer:- Google BigQuery is a replacement of the hardware setup for the traditional data warehouse. It is used as a data warehouse and thus, acts as a collective store for all the analytical data in an organization. Also, the BigQuery organizes the data table into the units that are known as datasets.

Answer:- 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.