Top 37 Cloud Security Interview Questions You Must Prepare 07.Dec.2023

  • Compliance
  • Loss of data
  • Data storage
  • Business continuity
  • Uptime
  • Data integrity in cloud computing

The platforms that are used for large scale cloud computing are:

  • Apache Hadoop
  • MapReduce
  • CloudComputing

Hypervisor is a Virtual Machine Monitor which manages resources for virtual machines. There are mainly two types of hypervisors

  • Type 1: The guest Vm runs directly over the host hardware, eg Xen, VmWare ESXI
  • Type 2: The guest Vm runs over hardware through a host OS, eg Kvm, oracle virtualbox

The benefits involved in cloud architecture is

  • Zero infrastructure investment
  • Just in time infrastructure
  • More efficient resource utilisation

  • The cost of the traditional data center is higher due to heating and hardware/software issues
  • Cloud gets scaled when the demand increases. Majority of the expenses are spent on the maintenance of the data centers, while that is not the case with cloud computing

To provide the performance trparency and automation there are many tools used by cloud architecture. It allows to manage the cloud architecture and monitor reports. It also allows them to share the application using the cloud architecture. Automation is the key component of cloud architecture which helps to improve the degree of quality.

Window Azure provides three core services which are given as

  • Compute
  • Storage
  • Management

  • Simple multi-tenancy : In this each user has independent resources and are different from other users, it is an efficient mode.
  • Fine grain multi-tenancy: In this type, the resources can be shared by many but the functionality remains the same.

The characteristics that makes cloud architecture above traditional architecture is

  • According to the demand cloud architecture provides the hardware requirement
  • Cloud architecture is capable of scaling the resource on demand
  • Cloud architecture is capable of managing and handling dynamic workloads without failure

The different layers used by cloud architecture are:

  • CLC or Cloud Controller
  • Walrus
  • Cluster Controller
  • SC or Storage Controller
  • NC or Node Controller

The security laws which are implemented to secure data in cloud are:

  • Processing: Control the data that is being processed correctly and completely in an application
  • File: It manages and control the data being manipulated in any of the file
  • Output reconciliation: It controls the data which has to be reconciled from input to output
  • Input Validation: Control the input data
  • Security and Backup: It provides security and backup it also controls the security breaches logs

In Cloud Computing, systems integrator provides the strategy of the complicated process used to design a cloud platform. Integrator allows to create more accurate hybrid and private cloud network, as integrators have all the knowledge about the data center creation.

The different layers of cloud computing are:

  • SaaS: Software as a Service (SaaS), it provides users access directly to the cloud application without installing anything on the system.
  • IaaS: Infrastructure as a service, it provides the infrastructure in terms of hardware like memory, processor speed etc.
  • PaaS: Platform as a service, it provides cloud application platform for the developers

  • Launch Phase
  • Monitor Phase
  • Shutdown Phase
  • Cleanup Phase

The different deployment models in cloud computing are:

  • Private Cloud
  • Public Cloud
  • Community Cloud
  • Hybrid Cloud

To communicate between different connectors Amazon SQS message is used, between various components of AMAZON, it acts as a communicator.

  • Google bigtable
  • Amazon simpleDB
  • Cloud based SQL

The open source cloud computing platform databases are

  • MongoDB
  • CouchDB
  • LucidDB

  • Reference architecture
  • Technical architecture
  • Deployment operation architecture

  • Hybrid cloud: It consists of multiple service providers. It is a combination of public and private cloud features. It is used by the company when they require both private and public clouds both.
  • Community Cloud: This model is quite expensive and is used when the organizations having common goals and requirements, and are ready to share the benefits of the cloud service.

To overcome the maintenance cost and to optimize the resources ,there is a concept of three data center in cloud which provides recovery and back-up in case of disaster or system failure and keeps all the data safe and intact.

Cloud service is used to build cloud applications using the server in a network through internet. It provides the facility of using the cloud application without installing it on the computer. It also reduces the maintenance and support of the application which are developed using cloud service.

The advantages of using cloud computing are:

  • Data backup and storage of data
  • Powerful server capabilities
  • SaaS ( Software as a service)
  • Information technology sandboxing capabilities
  • Increase in productivity
  • Cost effective & Time saving

IAAS ( Infrastructure As A Service) provides virtual and physical resources that are used to build a cloud. It deals with the complexities of deploying and maintaining of the services provided by this layer. Here the infrastructure is the servers, storage and other hardware systems.

In order to make system more efficient against the burst of traffic or load, buffer is used. It synchronizes different component . The component always receives and processes the request in an unbalanced way. The balance between different components are managed by buffer, and makes them work at the same speed to provide faster services.

The requirement of virtualization platform in implementing cloud is to

  • Manage the service level policies
  • Cloud Operating System
  • Virtualization platforms helps to keep the backend level and user level concepts different from each other

  • Professional cloud
  • Personal cloud
  • Performance cloud

Performance cloud is useful in trferring maximum amount of data instantly. It is used by the professionals who work on high performance computing research.

  • Cloud Ingress
  • Processor Speed
  • Cloud storage services
  • Cloud provided services
  • Intra-cloud communications

Cloud computing consists of different datacenters like

  • Containerized Datacenters
  • Low Density Datacenters

Utility computing allows the user to pay only for what they are using. It is a plug-in managed by an organization which decides what type of services has to be deployed from the cloud.Most organizations prefer hybrid strategy.

Mobile computing uses the same concept as cloud computing. Cloud computing becomes active with the data with the help of internet rather than individual device. It provides users with the data which they have to retrieve on demand. In mobile, the applications runs on the remote server and gives user the access for storage and manage.

To secure your data while trporting them from one place to another, check that there is no leak with the encryption key implemented with the data you are sending.

Scalability is a characteristics of cloud computing through which increasing workload can be handled by increasing in proportion the amount of resource capacity. Whereas, elasticity, is being one of the characteristics that highlights the concept of commissioning and decommissioning of a large amount of resource capacity.

  • Identity management: It authorizes the application services
  • Access control: permission has to be provided to the users so that they can control the access of another user who is entering into the cloud environment.
  • Authentication and Authorization: Allows only the authorized and authenticated user only to access the data and applications

  • Elasticity and Scalability
  • Self-service provisioning and automatic de-provisioning
  • Standardized interfaces
  • Billing self service based usage model

Platform as a service or PAAS is an important layer in cloud computing. It provides application platform for providers. It is responsible for providing complete virtualization of the infrastructure layer and makes it work like a single server.