Google Cloud Fundamentals: Big Data and Machine Learning

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Google Cloud Interview Questions

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1) Explain Google Cloud Computing. 

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.
 

2) List out the different types of deployment models used in the Cloud? 

Where the Configuration of any servers or toolchain or application stack  required for an organization can be made into more descriptive level of code and that can be used for provisioning and manage infrastructure elements like Virtual Machine, Software, Network Elements, but it differs from scripts using any language, where they are series of static steps coded, where Version control can be used in order to track environment changes.Example Tools are Ansible, Terraform.
 

3) What is the reason for an organization to manage the workloads? 

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.

4) What are the services afforded by Windows Azure OS? 

The core services afforded by Window Azure OS are Management, Compute, and Storage.
 

5) List out the benefits of Cloud Services? 

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. 

6) Which one is the major issue happening in cloud computing? 

Data security is the upper-most concern among various customers.

7) Computing, list out the basic components of a server computer. 

Memory, Network connection, Power supply, Video, Motherboard, Hard drives Processor are some of the basic components of a server computer.
 

8) Provide any top three (3) cloud applications in the current days. 

Google docs, Pixlr, and Jaycut are the few top cloud applications.

9) In cloud computing, what are the three (3) basic clouds? 

Performance cloud, Personal cloud and Professional cloud are the three (3) basic clouds.

10) Mention the various layers of cloud computing. 

Below are the various layers of Google cloud platform.

• SaaS (Software as a Service)
• PaaS (Platform as a Service)
• IaaS (Infrastructure as a Service)

 
11) List out the various datacenters deployed for cloud computing? 

Low-density Datacenters and Containerized Datacenters are the principal datacenters.
 

12) Provide the different modes of SaaS. 

Fine-grain multi-tenancy and Simple multi-tenancy are the modes of SaaS.
 

13) List out the security aspects available in the cloud. 

Access control, Authorization & authentication, and Identity Management are the security aspects available in the cloud.

14) Mention the security laws that help in managing data in Google Cloud Platform. 

Output reconciliation, Input validation, Backup and recovery, File, and Processing are the security laws that help in managing data in cloud.
 

15) VPN consists of what? 

VPN (Virtual Private Network) has two (2) vital things which are Encryption and Firewall.


16) Mention few platforms useful for large scale cloud computing. 

Apache Hadoop and MapReduce are the two (2) major platforms used for large scale cloud computing.

17) Give me some examples of large cloud providers along with its databases. 

Cloud based SQL, Amazon SimpleDB, and Google Bigtable are the few large cloud providers with its databases.
 

18) List out the most essential factors to know before opting Google cloud platform. 

Uptime, Loss of Data, Data storage cost, Data Integrity, Compliance, and Business continuity plans are the most essential factors.
 

19) To make a private cloud, what are the key features? 

Service level policy management, Virtualization and Cloud Operating System are the three (3) key features to make a private cloud.
 

20) Provide the different layers that describe cloud architecture. 

Storage Controller, Walrus, Node Controller, Cloud Controller, and Cluster Controller are the layers that well describes cloud architecture.
 

21) Expand EUCALYPTUS. 

EUCALYPTUS- Elastic Utility Computing Architecture For Linking Your Programs To Useful Systems.
 

22) Explain Project Number and Project ID.

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.
 

23) Explain Google BigQuery in Google Cloud Platform. 

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.
 

24) To install Google Cloud SDK, what are the different installation options? 

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

 
25) Is it possible to retrieve an instance which is already deleted? 

No, it is not possible to retrieve an instance which has been already deleted.

 
26) What is the use of Professional Clouds in Cloud Computing? 

Cloud computing make use of Professional clouds because it is useful for CRM solutions, Emails and websites.
 

27) Explain the benefit of API in cloud service. 

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.

28) Mention few open source cloud computing platforms. 

Docker, OpenStack, KVM, Cloud Foundry and Apache Mesos are the popular open source cloud computing platforms.
 

29) Explain Public Cloud.

Public cloud chiefly focuses on infrastructure, application and affords platforms to different markets. This is the once used by many people for deployment.
 

30) Describe Hybrid clouds. 

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.
 

31) Provide the address of Google Cloud Platform. 

Address of Google Cloud Platform is cloud.google.com
 

32) To create a container cluster in Google Cloud, what is the command? 

To create a container cluster in Google Cloud, use the command “gcloud container clusters <CLUSTER>”. 

33) Provide the command to list the entire pods. 

kubectl get po (or) kubectl get pod is the two commands that can be used to list the entire pods.
 

34) Describe On-demand computing in the Google cloud platform. 

One of the recent prototypes in the enterprise systems is On-demand Computing. Cloud provider can provide IT resources when there is a demand.

35) Mention the application in Cloud computing that has low risk and low margins. 

“Low touch” applications working with Cloud computing that has low risk and low margins.
 

36) Which one is the topmost limited and refined service model in Google Cloud Platform? 

PaaS is the topmost limited and refined service model.
 

37) Describe Elasticity. 

Elasticity is the one that has the capability to change the resources when required.

38) To implement load balancing, which computer code is used? 

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.

39) Explain Auto-scaling in Google cloud computing. 

Without human intervention, you can mechanically provision and initiate new instances in AWS. Depending on various metrics and load, Auto-scaling is triggered.

40) Define VPC in the Google cloud platform. 

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.