Google Cloud Interview Questions and Answers
Google Cloud Interview Questions and Answers for beginners and experts. List of frequently asked Google Cloud Questions with answers by Besant Technologies. We hope these Google Cloud interview questions and answers are useful and will help you to get the best job in the networking industry. These Google Cloud interview questions and answers are prepared by Google Cloud Professionals based on MNC Company’s expectations. Stay tuned we will update New Google Cloud Interview questions with Answers Frequently.
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Best Google Cloud Interview Questions and Answers
Google Cloud Computing Platform is a very quick developing business standard, and there are plentiful companies having a successful application and promoted in numerous methods. Cloud computing opportunities are numerous in every organization and there are dissimilar roles like Cloud Computing manager, Cloud Computing Architect, Module Lead, Cloud Engineer, Cloud Computing Trainer and so on. Below are the top-most popular question and answers related to this field and helpful for all the candidates.
Here is the list of most frequently asked Google Cloud Interview Questions and Answers in technical interviews. These Google Cloud questions and answers are suitable for both freshers and experienced professionals at any level. The Google Cloud questions are for intermediate to somewhat advanced Google Cloud professionals, but even if you are just a beginner or fresher you should be able to understand the Google Cloud answers and explanations here we give.
In this post, you will get the most important and top Google Cloud Interview Questions and Answers, which will be very helpful and useful to those who are preparing for jobs.
Cloud Computing is entirely based on the Internet, otherwise called as the evolution of the Internet for the next phase. Cloud computing makes use of the cloud to distribute the services whenever and wherever there is a need for cloud users. Companies are utilizing cloud computing to accomplish the requirements of their stakeholders, customers, and benefactors. The major contributors of cloud computing are partners, retailers, and corporate leaders.
Where the Configuration of any servers or toolchain or application stack
Organizations should manage the workloads to know how applications are running, the list of functions performed, and the cost of every department as per the requirement of a service.
The core services afforded by Window Azure OS are Management, Compute, and Storage.
Below are the few benefits of Cloud Services:
- Cloud services helps in utilizing the corporate segment investment, hence it is cost saving.
- Cloud services helps in developing healthy and scalable applications. Current scaling process consumes very less time.
- Maintenance and deployment time can be much saved.
Data security is the upper-most concern among various customers.
Memory, Network connection, Power supply, Video, Motherboard, Hard drives Processor are some of the basic components of a server computer.
Google docs, Pixlr, and Jaycut are the few top cloud applications.
Performance cloud, Personal cloud and Professional cloud are the three (3) basic clouds.
Below are the various layers of Google cloud platform.
- SaaS (Software as a Service)
- PaaS (Platform as a Service)
- IaaS (Infrastructure as a Service)
Low-density Datacenters and Containerized Datacenters are the principal datacenters.
Fine-grain multi-tenancy and Simple multi-tenancy are the modes of SaaS.
Access control, Authorization & authentication, and Identity Management are the security aspects available in the cloud.
Output reconciliation, Input validation, Backup and recovery, File, and Processing are the security laws that help in managing data in cloud.
VPN (Virtual Private Network) has two (2) vital things which are Encryption and Firewall.
Apache Hadoop and MapReduce are the two (2) major platforms used for large scale cloud computing.
Cloud based SQL, Amazon SimpleDB, and Google Bigtable are the few large cloud providers with its databases.
Uptime, Loss of Data, Data storage cost, Data Integrity, Compliance, and Business continuity plans are the most essential factors.
Service level policy management, Virtualization and Cloud Operating System are the three (3) key features to make a private cloud.
Storage Controller, Walrus, Node Controller, Cloud Controller, and Cluster Controller are the layers that well describes cloud architecture.
EUCALYPTUS- Elastic Utility Computing Architecture For Linking Your Programs To Useful Systems.
Project Number is automatically created when a new project is created. Project ID is manually created by the user. Project number is mandatory whereas the project id is optional for few services.
For traditional data warehouse, hardware setup replacement is required. In such case, Google BigQuery serves to be the replacement. In addition, BigQuery helps in organizing the table data into unit called as datasets.
: Four (4) methods to install Google Cloud SDK:
- Running Debian/ Ubuntu
- With the use of Cloud SDK along with scripts or continuous deployment or integration
- Running interactive installer for the latest version
- Running CentOS 7/Red Hat Enterprise Linux 7.
No, it is not possible to retrieve an instance which has been already deleted.
Cloud computing make use of Professional clouds because it is useful for CRM solutions, Emails and websites.
API expansion is an Application Programming Interface. API is useful in cloud platform permitting to be implemented on the system. The necessity of full-fledged programs is avoided by API and afford instructions to perform communication between the applications.
Docker, OpenStack, KVM, Cloud Foundry and Apache Mesos are the popular open source cloud computing platforms.
Public cloud chiefly focus on infrastructure, application and affords platforms to different markets. This is the once used by many people for deployment.
Hybrid cloud is comprised of both private and public clouds. Performance and features of both private and public clouds can be seen in Hybrid clouds. This is the one having healthy approach to implement cloud architecture.
Address of Google Cloud Platform is cloud.google.com.
To create a container cluster in Google Cloud, use the command “gcloud container clusters <CLUSTER>”.
kubectl get po (or) kubectl get pod are the two commands that can be used to list the entire pods.
A: One of the recent prototypes in the enterprise systems is On-demand Computing. Cloud provider can provide IT resources when there is a demand.
“Low touch” applications working with Cloud computing that has low risk and low margins.
PaaS is the topmost limited and refined service model.
Elasticity is the one that has the capability to change the resources when required.
To implement load balancing, “Apache mod_proxy_balancer” is the computer code used. Load balancing is helpful in increasing the utilization, reducing the response time, lesser latency, and evade system overload.
As cloud computing is based on model of a shared multi-tenant utility, it obviously affords various new opportunities for the developers and users.
EUCALYPTUS is very much helpful to implement clusters in cloud computing platform. We can create private, hybrid, and public cloud using this. A user can create their own data center in a private cloud and its functionalities can be used in various organizations.
Communication as a Service is the one used in telecom industry. Few enterprise user features are provided by CaaS like desktop faxing, desktop call control and unified messaging.
Without human intervention, you can mechanically provision and initiate new instances in AWS. Depending on various metrics and load, Auto-scaling is triggered.
Maintenance, Pay per use and Easy to scale are the major advantages of using Utility Computing model.
Hypervisor is otherwise called as VMM (Virtual Machine Monitor). Hypervisor is said to be a computer hardware/software used to create and run virtual machines (virtual machines is also called as Guest machine). Hypervisor is the one that runs on a host machine.
There are two (2) types of hypervisor available in cloud computing. One is Bare-metal or native hypervisors and the other type is hosted hypervisor.
When compared to hosted hypervisor, Bare-metal or native hypervisors performs better. The reason behind this better performance is native hypervisor run directly on host hardware and the host operating system is skipped. Hence, it can easily make use of the entire resources available in host machine.
Some of the machine learning options available in Google cloud are given below:
- Google Cloud Speech API
- Google Cloud ML
- Google Cloud Translate API
- Google Cloud Jobs API
- Google Natural Language API.
VPC is Google cloud platform is helpful is providing connectivity from the premise and to any of the region without internet. VPC Connectivity is for computing App Engine Flex instances, Kubernetes Engine clusters, virtual machine instance and few other resources depending on the projects. Multiple VPC can also be used in numerous projects.