Top 250 Cloud Computing Interview Questions and Answers

The prerequisites for cloud management gateway include Azure subscription, Azure AD, PKI infrastructure, and SCCM infrastructure.

• Azure subscription is required to host the cloud management gateway.

• Azure AD is needed for user authentication and authorization.

• PKI infrastructure is necessary for certificate management.

• SCCM infrastructure should be properly configured and functional.

Amazon cloud services provide a range of on-demand computing resources and services, including storage, databases, and analytics.

• Amazon Web Services (AWS) is the cloud computing platform offered by Amazon.

• It provides a wide range of services such as computing power, storage, and databases.

• AWS allows businesses to access and use these services on a pay-as-you-go basis.

• Some popular AWS services include Amazon S3 for storage, Amazon EC2 for virtual servers, and Amazon RDS for ma...read more

Outlined POC process for migrating SAP On-Premise System to Google Cloud Platform

• Analyzed current system and determined necessary resources for migration

• Created a test environment to ensure compatibility and identify errors

• Used Cloud Migration for SAP tool to migrate data and configurations

• Encountered errors with network connectivity and resolved through troubleshooting

• Monitored system performance and made necessary adjustments for optimal output

Cloud computing enables digital transformation by providing scalable and flexible infrastructure for data storage, processing, and analysis.

• Cloud computing allows for easy access to data and applications from anywhere, at any time.

• It enables businesses to scale up or down their computing resources as needed.

• Cloud-based analytics tools can help organizations gain insights from large amounts of data.

• Cloud-based collaboration tools can improve communication and productivity amon...read more

Service level agreement details are extracted through a process of negotiation and agreement between the service provider and the customer.

• SLA details are typically agreed upon during the service level agreement negotiation process

• The details are documented in the SLA document

• The SLA document outlines the agreed upon service levels, metrics, and responsibilities of both parties

• SLA details may be reviewed and updated periodically to ensure they remain relevant and effective

Deployment model refers to the approach used to deploy software applications or services.

• Deployment model defines how software is installed, configured, and managed in a specific environment.

• Common deployment models include on-premises, cloud-based, hybrid, and containerized.

• Each deployment model has its own advantages and challenges, depending on the requirements of the application or service.

• For example, an on-premises deployment model involves hosting software on local ser...read more

Oracle Cloud is a cloud computing service offered by Oracle Corporation.

• Provides infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) offerings

• Offers a wide range of services including database, analytics, security, and artificial intelligence

• Allows users to deploy and manage applications in the cloud

• Provides flexible pricing options based on usage and requirements

Virtual machines can be deployed using virtualization software like VMware or Hyper-V.

• Choose a virtualization software like VMware or Hyper-V

• Create a new virtual machine instance

• Allocate resources such as CPU, memory, and storage

• Install an operating system on the virtual machine

• Configure network settings for the virtual machine

There are several ways to access AWS cloud without using the console.

• AWS Command Line Interface (CLI)

• AWS SDKs (Software Development Kits)

• AWS Management Console API

• AWS CloudFormation

• AWS CloudWatch

• AWS Systems Manager

• AWS Lambda

• AWS Elastic Beanstalk

Yes, an AWS keypair can be recovered if lost.

• To recover a lost AWS keypair, you can create a new keypair and associate it with the existing EC2 instances.

• First, create a new keypair in the AWS Management Console or using the AWS CLI.

• Then, stop the EC2 instances associated with the lost keypair.

• Detach the root volume from each instance and create a new temporary instance.

• Attach the root volume to the temporary instance and mount it.

• Modify the authorized_keys file on the mounte...read more

Cloud models refer to different types of cloud computing services, including public, private, and hybrid clouds.

• Public cloud: Services are delivered over the internet and shared among multiple organizations. Example: Amazon Web Services (AWS)

• Private cloud: Services are dedicated to a single organization and can be hosted on-premises or by a third-party provider. Example: Microsoft Azure

• Hybrid cloud: Combination of public and private clouds, allowing data and applications to b...read more

Cloud computing models include SaaS, PaaS, and IaaS.

• Software as a Service (SaaS) - applications hosted on cloud and accessed via web browser (e.g. Gmail)

• Platform as a Service (PaaS) - platform and tools provided to develop, test, and deploy applications (e.g. AWS Elastic Beanstalk)

• Infrastructure as a Service (IaaS) - virtualized computing resources like servers, storage, and networking (e.g. AWS EC2)

Develop and implement security and cloud controls for Cloud Engineering

• Conduct a thorough risk assessment to identify potential security threats

• Implement encryption protocols to protect data in transit and at rest

• Utilize multi-factor authentication to enhance access control

• Regularly monitor and audit cloud infrastructure for security vulnerabilities

• Implement automated security controls to quickly respond to threats

• Train employees on security best practices to prevent human er...read more

When storage is full on on-premises servers, consider deleting unnecessary files, archiving old data, expanding storage capacity, or optimizing storage usage.

• Identify and delete unnecessary files or logs to free up space

• Archive old data that is not frequently accessed

• Expand storage capacity by adding more disks or upgrading existing ones

• Optimize storage usage by compressing files or moving them to a different location

AWS is a cloud computing platform that provides a wide range of services. EC2 is a service that provides scalable computing capacity.

• AWS is a cloud computing platform that offers services such as storage, databases, analytics, and more

• EC2 is a service that provides resizable compute capacity in the cloud

• EC2 instances are virtual machines that can be launched in the cloud and can be configured to meet specific needs

• EC2 instances can be used for a variety of purposes such as ho...read more

Cloud deployment modules are preconfigured templates or packages that simplify the process of deploying applications and services in the cloud.

• Cloud deployment modules are preconfigured templates or packages that contain all the necessary resources and configurations for deploying applications and services in the cloud.

• They provide a standardized and repeatable way to deploy applications, reducing the time and effort required for manual setup and configuration.

• Cloud deploymen...read more

Docker is a containerization platform while Kubernetes is a container orchestration tool.

• Docker is used to create, deploy, and run applications in containers.

• Kubernetes is used to manage and orchestrate multiple containers in a cluster.

• Docker provides a way to package and distribute applications in a portable manner.

• Kubernetes provides features like automatic scaling, load balancing, and self-healing.

• Docker is a lower-level technology while Kubernetes is a higher-level techno...read more

There is no wireless service in AWS. It primarily provides cloud computing services.

• AWS does not offer wireless services

• AWS focuses on providing cloud computing services

• Wireless services are typically provided by telecom companies

A cloud migration solution involves moving an organization's data and applications from on-premises infrastructure to a cloud environment.

• Assess current infrastructure and identify applications and data to be migrated

• Choose a cloud provider and determine the appropriate cloud services

• Develop a migration plan and timeline

• Test the migration process and ensure data integrity

• Execute the migration and monitor for any issues

• Optimize the cloud environment for cost and performance

SaaS and PaaS are cloud model types with different levels of service and control.

• SaaS (Software as a Service) provides software applications over the internet, with the provider managing everything from infrastructure to maintenance.

• PaaS (Platform as a Service) offers a platform allowing customers to develop, run, and manage applications without worrying about the underlying infrastructure.

• SaaS is more user-friendly and requires less technical expertise, while PaaS gives more...read more

AWS networking architecture is based on Virtual Private Cloud (VPC) which allows users to create isolated virtual networks.

• VPC allows users to create subnets, route tables, and network gateways

• Security groups and network access control lists (ACLs) can be used to control traffic flow

• AWS Direct Connect and VPN can be used to connect on-premises networks to VPC

• Elastic Load Balancing and Amazon Route 53 can be used for load balancing and DNS management

Different types of clouds include public, private, and hybrid clouds.

• Public cloud: Services are delivered over the internet and shared among multiple organizations. Example: AWS, Azure, Google Cloud

• Private cloud: Services are maintained on a private network and dedicated to a single organization. Example: VMware, OpenStack

• Hybrid cloud: Combination of public and private clouds, allowing data and applications to be shared between them. Example: AWS Outposts, Azure Stack

The two main roles in cloud deployment are cloud architect and cloud engineer.

• Cloud architect designs the overall structure of the cloud environment.

• Cloud engineer implements and maintains the cloud infrastructure.

• Cloud architect focuses on high-level design decisions such as selecting the appropriate cloud services and designing the network topology.

• Cloud engineer focuses on low-level implementation tasks such as configuring virtual machines and setting up security policies....read more

Data tables in Genesys Cloud are used to store and manage structured data for reporting and analytics purposes.

• Data tables allow users to create custom tables to store data in a structured format

• Users can import data into data tables from external sources

• Data tables can be used to create custom reports and dashboards based on the stored data

Integrating Cloud with legacy systems requires careful planning and execution.

• Assess the existing legacy systems and identify their dependencies and limitations

• Choose the appropriate cloud service model (IaaS, PaaS, or SaaS) based on the requirements

• Develop a migration strategy and roadmap, considering factors like data security, compliance, and performance

• Implement integration mechanisms like APIs, connectors, or middleware to connect the cloud and legacy systems

• Test and val...read more

Azure and AWS are cloud computing platforms with similar services, but differ in pricing, scalability, and integration.

• Azure is more tightly integrated with Microsoft products, while AWS has a wider range of third-party integrations.

• AWS has a larger market share and more mature services, while Azure is catching up quickly.

• Azure offers more flexible pricing options, while AWS has a more complex pricing structure.

• Azure has better support for hybrid cloud environments, while AWS...read more

I managed cloud based products by overseeing implementation, monitoring performance, and ensuring security.

• Coordinated with cross-functional teams to implement cloud solutions

• Monitored performance metrics and made adjustments as needed

• Ensured data security and compliance with industry regulations

• Implemented cost-saving measures by optimizing cloud resources

Designing/implementing database solutions in the cloud involves selecting appropriate cloud service, data modeling, security, and scalability.

• Select the appropriate cloud service (e.g. Azure SQL Database, Cosmos DB, etc.) based on the requirements of the application

• Design the data model to optimize for the cloud environment (e.g. denormalization, partitioning, etc.)

• Implement security measures such as encryption, access control, and auditing

• Ensure scalability by using features...read more

Yes, the Indian government does use cloud technologies for various services and initiatives.

• The Indian government has adopted cloud technologies for various e-governance initiatives to improve efficiency and accessibility.

• Cloud services are used for data storage, processing, and analysis in government departments.

• Examples include the National Informatics Centre (NIC) cloud services used by various government agencies and departments.

• Cloud technologies are also utilized for ho...read more

AWS SQS (Simple Queue Service) is a fully managed message queuing service that enables decoupling of components in a distributed system.

• Used for storing messages in a queue before they are processed by a consumer

• Supports distributed systems by enabling asynchronous communication between components

• Helps in decoupling different parts of a system, improving scalability and fault tolerance

• Messages can be stored in SQS for up to 14 days before being processed

Lambda function is a serverless computing service that runs code in response to events and automatically manages the computing resources required.

• Lambda functions are event-driven and can be triggered by various AWS services such as S3, DynamoDB, API Gateway, etc.

• They are written in languages like Python, Node.js, Java, etc.

• Lambda functions are scalable and cost-effective as you only pay for the compute time you consume.

• They can be used for data processing, real-time file pro...read more

SNS stands for Simple Notification Service, a fully managed messaging service for both application-to-application and application-to-person communication.

• SNS is a messaging service provided by AWS

• It allows for both application-to-application and application-to-person communication

• SNS supports multiple protocols including HTTP, HTTPS, email, SMS, and mobile push notifications

Yes, I have knowledge of Cloud services such as AWS, Azure, and Google Cloud, as well as SQL databases.

• Familiar with Cloud services like AWS, Azure, and Google Cloud

• Proficient in SQL databases

• Experience in setting up and managing databases in the Cloud

Cloud computing is the delivery of computing services over the internet, offering resources like storage, databases, networking, software, and more.

• Types of cloud computing: public cloud, private cloud, hybrid cloud

• Examples: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform

• Benefits: cost-effective, scalable, flexible, secure

EC2 instances can be monitored using CloudWatch, third-party tools, or custom scripts.

• Use CloudWatch to monitor EC2 instance metrics such as CPU utilization, network traffic, and disk usage.

• Third-party tools like Datadog, New Relic, and Nagios can also be used for monitoring.

• Custom scripts can be written using AWS SDKs or APIs to monitor specific aspects of the EC2 instance.

• Set up alarms in CloudWatch to receive notifications when certain thresholds are exceeded.

Cloud technologies offer numerous benefits such as scalability, cost savings, flexibility, and increased collaboration.

• Scalability: Cloud technologies allow businesses to easily scale their resources up or down based on demand.

• Cost savings: Cloud services eliminate the need for upfront hardware and infrastructure investments, reducing costs.

• Flexibility: Cloud platforms provide the flexibility to access data and applications from anywhere, at any time.

• Increased collaboration: ...read more

AWS Kinesis is a managed service that enables real-time processing of streaming data at scale.

• Kinesis can handle large amounts of data in real-time from various sources such as IoT devices, social media, and logs.

• It allows data to be processed in real-time using AWS Lambda, Kinesis Analytics, or Kinesis Data Firehose.

• Kinesis can be used for various use cases such as real-time analytics, machine learning, and fraud detection.

• Kinesis provides various features such as data encry...read more

Cloud migration of .NET webapp involves assessing the application, choosing the right migration strategy, and executing the migration process.

• Assess the application to understand its dependencies, architecture, and resource requirements.

• Choose the appropriate migration strategy: rehost, refactor, rearchitect, rebuild, or replace.

• Prepare the target Azure environment, including creating necessary resources like virtual machines, storage accounts, and networking.

• Migrate the appl...read more

For cost management on a cloud, monitor usage, optimize resources, use cost allocation tags, leverage reserved instances, and consider spot instances.

• Monitor usage regularly to identify any inefficiencies or unused resources

• Optimize resources by right-sizing instances and using auto-scaling

• Use cost allocation tags to track spending by project or department

• Leverage reserved instances for predictable workloads to save costs

• Consider using spot instances for non-critical workload...read more

The problem of slow performance in Amazon can be attributed to various factors.

• Insufficient server capacity leading to high latency

• Network congestion causing delays in data transfer

• Inefficient code or algorithms affecting processing speed

• Inadequate optimization of database queries

• Heavy traffic load impacting overall system performance

Cloud is a network of remote servers hosted on the internet to store, manage, and process data, while LAN is a local area network that connects computers in a limited area.

• Cloud is accessed over the internet, while LAN is a local network within a specific physical location.

• Cloud allows for scalability and flexibility in terms of resources, while LAN is limited by its physical boundaries.

• Examples of cloud services include Amazon Web Services (AWS) and Microsoft Azure, while LA...read more

ETL pipeline on cloud involves extracting data from various sources, transforming it, and loading it into a cloud-based data warehouse.

• Use cloud-based ETL tools like AWS Glue, Google Cloud Dataflow, or Azure Data Factory to extract, transform, and load data.

• Design the pipeline to handle large volumes of data efficiently and securely.

• Utilize serverless computing and auto-scaling capabilities of cloud platforms to optimize performance.

• Monitor and manage the pipeline using cloud...read more

Creating pipelines in the cloud offers scalability, automation, flexibility, and cost-efficiency.

• Scalability: Cloud pipelines can easily scale up or down based on workload demands.

• Automation: Processes can be automated, reducing manual intervention and improving efficiency.

• Flexibility: Cloud pipelines allow for easy integration with various tools and services.

• Cost-efficiency: Pay-as-you-go pricing models in the cloud can help reduce costs compared to traditional on-premises s...read more

Managing servers on the cloud involves provisioning, monitoring, scaling, and securing virtual servers hosted by a cloud provider.

• Use cloud management tools like AWS Management Console, Google Cloud Console, or Azure Portal to provision and configure virtual servers.

• Implement monitoring solutions like CloudWatch, Stackdriver, or Azure Monitor to track server performance and health.

• Utilize auto-scaling features to automatically adjust server capacity based on demand, ensuring ...read more

Workflow in Power Automate is a sequence of automated actions that can be triggered by an event in SharePoint Online.

• Workflows can be used to automate business processes, such as approval workflows or document review workflows.

• Power Automate provides a range of pre-built templates for common workflows, as well as the ability to create custom workflows.

• Workflows can be triggered by events such as when a new item is added to a SharePoint list or when a file is uploaded to a doc...read more

Cloud computing is the delivery of computing services over the internet, including storage, servers, databases, networking, software, and more.

• Cloud computing allows users to access and use resources on-demand without the need for physical infrastructure.

• It offers scalability, flexibility, cost-effectiveness, and increased efficiency compared to traditional on-premises solutions.

• Examples of cloud services include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platfo...read more

QMS stands for Quality Management System, which is a set of policies, processes, and procedures required for planning and execution in the core business area of an organization. GCP stands for Good Clinical Practice, which is an international ethical and scientific quality standard for designing, conducting, recording, and reporting trials that involve the participation of human subjects.

• QMS ensures that products and services meet customer requirements and regulatory standard...read more

Exchange Online is a cloud-based email hosting service provided by Microsoft as part of Office 365.

• Part of Office 365 suite

• Hosted in the cloud

• Provides email hosting services

• Includes features like email, calendar, contacts, and tasks

• Allows access from anywhere with an internet connection

Clouds and IoT are interconnected technologies that work together to enable data storage, processing, and communication for Internet-connected devices.

• Cloud computing provides the infrastructure and resources needed for IoT devices to store and process data.

• IoT devices collect and transmit data to the cloud for storage and analysis.

• Cloud platforms offer scalability and flexibility for IoT applications, allowing for efficient data management and processing.

• Examples include usi...read more

Designed scalable architecture on cloud for a high-traffic e-commerce website.

• Utilized AWS services such as EC2, S3, and CloudFront to handle increased traffic.

• Implemented auto-scaling to dynamically adjust resources based on demand.

• Utilized load balancing to distribute traffic evenly across multiple servers.

• Faced challenges with optimizing costs while ensuring high availability and performance.

• Implemented caching mechanisms to reduce latency and improve response times.

Strategies to optimize costs in AWS include rightsizing instances, using reserved instances, leveraging spot instances, monitoring usage, and automating resource management.

• Rightsizing instances to match workload requirements and avoid over-provisioning.

• Using reserved instances for predictable workloads to save costs compared to on-demand pricing.

• Leveraging spot instances for non-critical workloads at a lower cost, but with potential interruptions.

• Monitoring usage and optimiz...read more

I have 5 years of experience with cloud computing.

• 5 years of hands-on experience working with AWS, Azure, and Google Cloud Platform

• Implemented cloud-based solutions for scalability and cost-efficiency

• Managed cloud infrastructure, including virtual machines, storage, and networking

• Utilized cloud services like EC2, S3, RDS, and Lambda for various projects

Snowflake offers unique architecture with separation of storage and compute, automatic scaling, and support for diverse workloads.

• Snowflake's architecture separates storage and compute, allowing for independent scaling and cost optimization.

• Snowflake automatically handles infrastructure management, reducing the need for manual tuning and maintenance.

• Snowflake supports diverse workloads, including data warehousing, data lakes, and real-time analytics.

• Snowflake's unique multi-c...read more

Hybrid environment allows for integration of O365 and on-Prem Exchange.

• Hybrid environment allows for seamless integration of on-Prem Exchange and O365.

• Users can access their emails and other data from both on-Prem Exchange and O365.

• Exchange hybrid deployment is required to set up the integration.

• Exchange hybrid deployment includes configuring Azure AD Connect, Exchange hybrid configuration wizard, and more.

• Hybrid environment provides benefits such as flexibility, scalability,...read more

Integrating services in AWS environment involves using tools like AWS Lambda, API Gateway, and AWS Step Functions.

• Utilize AWS Lambda to run code in response to events

• Use API Gateway to create, publish, maintain, monitor, and secure APIs

• Leverage AWS Step Functions to coordinate multiple AWS services into serverless workflows

Common errors encountered in Kubernetes

• Pod errors (CrashLoopBackOff, ImagePullBackOff)

• Node errors (NodeNotReady, NodeOutOfDisk)

• Service errors (ServiceUnavailable, EndpointsNotFound)

• PersistentVolume errors (VolumeNotFound, VolumeInUse)

• Network errors (NetworkPluginNotReady, DNSResolutionFailed)

Cloud will continue to grow and evolve, with increased focus on security, AI/ML, and hybrid/multi-cloud solutions.

• Security will remain a top priority, with increased adoption of zero-trust architecture and cloud-native security tools

• AI/ML will be integrated into cloud services to enable more intelligent and automated decision-making

• Hybrid and multi-cloud solutions will become more prevalent as organizations seek to balance cost, performance, and flexibility

• Serverless computin...read more

AWS is used for cloud computing, storage, and database management.

• AWS provides scalable and cost-effective solutions for businesses and organizations.

• It is used for hosting websites, running applications, and storing data.

• AWS offers a wide range of services including EC2, S3, RDS, and Lambda.

• It is used by companies like Netflix, Airbnb, and NASA.

• AWS is also used for disaster recovery, backup, and data analytics.

I have used a variety of tools in AWS including EC2, S3, RDS, Lambda, CloudFormation, and IAM.

• EC2

• S3

• RDS

• Lambda

• CloudFormation

• IAM

To migrate a mailbox from on-premises to the cloud, you can use a variety of methods such as hybrid deployment, cutover migration, or staged migration.

• For a hybrid deployment, you can use Microsoft Exchange Server and Exchange Online together to move mailboxes gradually.

• Cutover migration is suitable for small organizations where you move all mailboxes at once.

• Staged migration is useful for larger organizations where you move mailboxes in batches.

• Ensure proper planning, includ...read more

Cloud offers scalability, cost-effectiveness, flexibility, and accessibility compared to on-premise solutions.

• Scalability: Cloud allows for easily scaling resources up or down based on demand, while on-premise solutions require physical upgrades.

• Cost-effectiveness: Cloud eliminates the need for expensive hardware and maintenance costs associated with on-premise solutions.

• Flexibility: Cloud offers the ability to access data and applications from anywhere with an internet conne...read more

Key elements in AWS include compute, storage, databases, networking, security, and management tools.

• Compute services like EC2, Lambda, and Elastic Beanstalk

• Storage services like S3, EBS, and Glacier

• Database services like RDS, DynamoDB, and Redshift

• Networking services like VPC, Route 53, and Direct Connect

• Security services like IAM, KMS, and WAF

• Management tools like CloudWatch, CloudFormation, and AWS Config

Kubernetes (k8s) is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.

• Kubernetes follows a master-slave architecture where the master node controls the cluster and the worker nodes run the containers.

• It uses etcd for storing configuration data, API server for communication, scheduler for assigning workloads, and controller manager for maintaining desired state.

• Kubernetes allows for horizontal s...read more

ECS is a container management service by AWS, while EKS is a managed Kubernetes service.

• ECS (Elastic Container Service) is a container management service provided by AWS.

• ECS allows you to easily run and scale containerized applications on AWS.

• EKS (Elastic Kubernetes Service) is a managed Kubernetes service by AWS.

• EKS simplifies the process of deploying, managing, and scaling containerized applications using Kubernetes.

• ECS is more tightly integrated with other AWS services, wh...read more

Uptime of data centers refers to the amount of time they are operational and available for use.

• Uptime is typically measured as a percentage of total time in a year

• Data centers strive for high uptime to ensure continuous availability of services

• Factors that can impact uptime include power outages, hardware failures, and maintenance downtime

• Industry standards for uptime include Tier I, II, III, and IV, with Tier IV offering the highest level of uptime

• Uptime can also be affected...read more

AWS queues are messaging services that decouple components of a cloud application.

• Amazon SQS (Simple Queue Service) - fully managed message queuing service

• Amazon SNS (Simple Notification Service) - pub/sub messaging service

• Amazon MQ - managed message broker service

• Amazon Kinesis - real-time data streaming service

By providing simplified user interfaces, offering training sessions, and creating tier-specific pricing plans.

• Develop user-friendly interfaces tailored to tier iii users' needs

• Offer training sessions to educate tier iii users on how to utilize cloud services effectively

• Create tier-specific pricing plans to make cloud services more accessible to tier iii users

Cloud computing offers scalability and flexibility but may pose security risks and dependency on internet connectivity.

• Advantages: scalability, flexibility, cost-effectiveness, automatic updates, disaster recovery

• Disadvantages: security risks, dependency on internet connectivity, potential downtime, limited control over data

• Example: Advantages - Scalability allows businesses to easily adjust resources based on demand. Disadvantages - Security risks may include data breaches o...read more

Some of the best monitoring tools in Cloud providers include AWS CloudWatch, Google Stackdriver, and Azure Monitor.

• AWS CloudWatch provides monitoring for AWS resources and applications, with features like customizable dashboards, alarms, and logs.

• Google Stackdriver offers monitoring, logging, and diagnostics for Google Cloud Platform, as well as AWS and Azure.

• Azure Monitor provides monitoring and analytics for applications and infrastructure on Azure, with features like metri...read more

A virtual machine is a software emulation of a physical computer that can run multiple operating systems on a single physical machine.

• Virtual machines allow for efficient use of hardware resources by allowing multiple operating systems to run on a single physical machine.

• They provide a secure and isolated environment for running applications, as each virtual machine is completely independent of the others.

• Virtual machines can be easily created, cloned, and moved between physi...read more

On-premises servers can be connected to the Cloud using VPN or Direct Connect.

• Use a VPN to establish a secure connection between on-premises servers and the Cloud.

• Direct Connect can be used for a dedicated, private connection between on-premises servers and the Cloud.

• Ensure proper network configuration and security measures are in place.

• Examples of VPN solutions include OpenVPN, Cisco AnyConnect, and AWS VPN.

• Examples of Direct Connect providers include AWS Direct Connect and ...read more

RDS in AWS stands for Relational Database Service, a managed database service that makes it easy to set up, operate, and scale a relational database in the cloud.

• RDS is a fully managed database service provided by AWS

• It supports popular database engines like MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB

• RDS automates routine tasks like hardware provisioning, database setup, patching, and backups

• It offers high availability, automatic failover, and read replicas for improve...read more

API Gateway in AWS is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.

• API Gateway allows you to create RESTful APIs that can be integrated with other AWS services like Lambda, DynamoDB, and S3.

• It provides features like authentication, authorization, rate limiting, and caching to improve API performance and security.

• API Gateway can also be used to transform and proxy requests to different backend ser...read more

ELB stands for Elastic Load Balancer. There are three types of ELB: Classic Load Balancer, Application Load Balancer, and Network Load Balancer.

• ELB is a service provided by AWS to distribute incoming traffic across multiple EC2 instances.

• Classic Load Balancer operates at both the request and connection level.

• Application Load Balancer operates at the application layer and supports advanced routing features.

• Network Load Balancer operates at the transport layer and is designed t...read more

CICD process in a cloud environment involves automating the build, test, and deployment of applications in the cloud.

• Automate the process of building, testing, and deploying code changes

• Integrate code changes into a shared repository

• Automatically trigger builds and tests upon code changes

• Deploy applications to cloud environments using automation tools like Jenkins, GitLab CI/CD, or AWS CodePipeline

AWS Kafka is a managed streaming platform provided by Amazon Web Services for building real-time data pipelines and streaming applications.

• AWS Kafka is based on Apache Kafka, an open-source distributed event streaming platform.

• It allows developers to build real-time applications that can process and analyze data streams in real-time.

• AWS Kafka provides features like data replication, fault tolerance, and scalability for handling large volumes of data.

• It integrates with other A...read more

Pros and cons of cloud computing

• Pros: scalability, cost-effectiveness, flexibility, automatic updates

• Cons: security concerns, dependency on internet connection, potential downtime

Cloud network refers to a virtual network that connects cloud computing resources.

• Cloud network enables access to resources from anywhere with an internet connection

• It allows for scalability and flexibility in resource allocation

• Examples include Amazon Web Services (AWS) Virtual Private Cloud (VPC) and Microsoft Azure Virtual Network (VNet)

AWS Mesh is a service mesh that provides secure communication between microservices in a containerized application.

• AWS Mesh is built on top of AWS App Mesh, which is a managed service for service mesh architecture.

• It allows developers to easily monitor and control the communication between microservices.

• AWS Mesh provides features like traffic routing, load balancing, service discovery, and observability.

• It supports various protocols and platforms, including Node.js applicatio...read more

The strategy for moving from one cloud to another involves careful planning and execution, with a focus on minimizing downtime and ensuring data security.

• Assess the current cloud environment and identify the reasons for the move

• Evaluate the target cloud provider and ensure compatibility with existing systems

• Develop a migration plan that includes timelines, resource allocation, and risk management

• Test the migration plan in a non-production environment before executing it

• Commun...read more

Virtual machines are software emulations of physical computers that can run applications and operating systems.

• Virtual machines are created using virtualization technology.

• They allow multiple operating systems to run on a single physical machine.

• Each virtual machine has its own virtual hardware, including CPU, memory, storage, and network interfaces.

• Virtual machines can be easily created, cloned, and managed.

• They provide flexibility, scalability, and isolation for running app...read more

CloudFormation is handled by creating templates to define and provision AWS resources.

• Create templates using JSON or YAML to define resources and dependencies

• Use CloudFormation stack to create, update, or delete resources

• Validate templates before creating stacks

• Use CloudFormation Designer to visualize templates

• Use CloudFormation Change Sets to preview changes before applying them

CloudWatch is a monitoring and management service provided by AWS to monitor resources and applications in the cloud.

• CloudWatch collects and tracks metrics, logs, and events from various AWS services and resources.

• It provides real-time monitoring, alerting, and dashboards to help users visualize and understand their cloud environment.

• Users can set up alarms to notify them of changes in their environment or resource usage.

• CloudWatch can be used to monitor EC2 instances, S3 buc...read more

AWS Layers are a way to centrally manage code and data that is shared across multiple functions in AWS Lambda.

• AWS Layers allow you to separate out common code or dependencies from your Lambda functions.

• You can create layers with libraries, custom runtimes, or other dependencies that can be reused across multiple functions.

• Layers can be versioned and shared across multiple functions in the same AWS account.

Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases.

• Elasticsearch is a search engine based on the Lucene library.

• It stores data in JSON format and allows for real-time search and analysis.

• Elasticsearch can be used for full-text search, structured search, analytics, and more.

• It is highly scalable and can be easily integrated with other tools like Logstash and Kibana.

Scalability refers to the ability of a system to handle increasing amounts of work. Cloud integration is the process of connecting cloud-based services with other systems or applications.

• Scalability involves designing a system that can handle increased workload without sacrificing performance or reliability.

• Cloud integration involves connecting cloud-based services with other systems or applications, often through APIs or other integration tools.

• Scalability and cloud integrat...read more

The process of migrating to Office 365 involves planning, preparation, and execution.

• Assess current infrastructure and identify migration goals

• Prepare for migration by ensuring compatibility and setting up necessary accounts

• Execute migration by transferring data and configuring settings

• Test and verify successful migration

• Train users on new system and provide ongoing support

• Examples of migration tools include Microsoft's Migration Manager and third-party solutions like SkyKick

Application migration scenario from onprem to cloud

• Assess current on-premises application architecture and dependencies

• Select appropriate cloud provider and services based on requirements

• Plan for data migration, security, compliance, and performance considerations

• Test the migration process in a non-production environment

• Execute the migration with minimal downtime and monitor for any issues

• Optimize the application for cloud-native features and scalability

AWS is Amazon Web Services, a cloud computing platform that provides various services like storage, computing power, and databases.

• AWS is a cloud computing platform offered by Amazon

• Snowflake can be deployed on AWS to take advantage of its scalability and flexibility

• AWS provides services like S3 for storage, EC2 for computing power, and RDS for databases

SharePoint Online is a cloud-based service that helps organizations share and manage content, knowledge, and applications.

• Cloud-based service provided by Microsoft

• Allows organizations to create sites to share documents, collaborate, and manage content

• Integration with Microsoft 365 suite of applications

• Offers features like document libraries, lists, workflows, and search functionality

Infra and cloud can be managed through automation, monitoring, scalability, and cost optimization.

• Implement automation tools like Terraform or Ansible to provision and manage infrastructure.

• Utilize monitoring tools such as Prometheus or Nagios to track performance and availability.

• Design for scalability by using cloud-native services like AWS Auto Scaling or Azure Virtual Machine Scale Sets.

• Optimize costs by leveraging reserved instances, spot instances, or rightsizing resour...read more

EMR is a managed Hadoop framework for processing large amounts of data, while EC2 is a scalable virtual server in AWS.

• EMR stands for Elastic MapReduce and is a managed Hadoop framework for processing large amounts of data.

• EC2 stands for Elastic Compute Cloud and is a scalable virtual server in Amazon Web Services (AWS).

• EMR allows for easy provisioning and scaling of Hadoop clusters, while EC2 provides resizable compute capacity in the cloud.

• EMR is commonly used for big data p...read more

Security groups are used to control inbound and outbound traffic for EC2 instances in AWS.

• Security groups act as virtual firewalls for EC2 instances.

• They allow or deny traffic based on rules defined by the user.

• They can be assigned to multiple instances.

• They are stateful, meaning they keep track of the traffic flow and allow the response traffic.

• They can be used to restrict access to specific ports or IP addresses.

• They are a fundamental component of AWS security.

• Example: A se...read more

Protecting applications in the cloud involves implementing security measures such as encryption, access control, and monitoring.

• Implement encryption to protect data both at rest and in transit

• Use access control mechanisms to restrict unauthorized access to resources

• Implement network security measures such as firewalls and intrusion detection/prevention systems

• Regularly monitor and audit the application for any security vulnerabilities

• Implement disaster recovery and backup str...read more

Databricks is preferred over Azure Data Factory for advanced analytics and machine learning capabilities.

• Databricks provides a unified analytics platform that integrates with Azure services for advanced analytics and machine learning.

• Databricks offers collaborative notebooks for data exploration and visualization, which is not available in Azure Data Factory.

• Databricks supports multiple programming languages like Python, Scala, and R for data processing and analysis.

• Databrick...read more

Yes, I have knowledge of Openstack and its services.

• I am familiar with the Openstack platform and its various services such as Nova, Neutron, Cinder, Glance, Keystone, and Swift.

• I have experience in deploying and managing Openstack environments.

• I am proficient in using Openstack APIs and CLI tools.

• I have worked with Openstack-based cloud providers such as Rackspace and HP Cloud.

• I am aware of the latest developments and updates in the Openstack community.

Circuit breaker pattern is a design pattern used in cloud platforms to prevent cascading failures.

• It is used to detect failures and prevent them from causing further damage

• It works by temporarily blocking requests to a service that is experiencing issues

• Once the service is back up, the circuit breaker allows requests to resume

• Examples include Netflix's Hystrix and AWS's Circuit Breaker