AWS Interview Questions and Answers for 2025

AWS services that are not region-specific are: 

• AWS IAM: 

We may securely manage access to AWS resources with the aid of the web service known as AWS Identity and Access Management (IAM). IAM enables u to centrally manage the permissions that regulate who can access which AWS resources. IAM allows us to manage who has access to resources and who is authenticated (signed in) and authorized (has permissions). 

• AWS Route 53: 

A Domain Name System (DNS) web service with high availability and scalability is Amazon Route 53. User queries are routed through Route 53 to internet applications that are running on AWS or locally. 

• AWS CloudFront: 

A content delivery network (CDN) service called Amazon CloudFront is designed for excellent performance, security, and developer convenience. 

Data will eventually be consistent, but it could not happen right away, according to the concept of eventual consistency. The client requests will be fulfilled more quickly as a result, although some of the first read requests might end up reading stale material. It is preferable to have this kind of consistency in systems when real-time data is not required. For instance, it is acceptable if we don't immediately see the most current tweets on Twitter or updates on Facebook. 

Strong Consistency- It offers instant consistency, ensuring that the data is the same across all DB Servers. Accordingly. It can take some time for this model to make the data consistent and then resume serving requests. However, this architecture ensures that all responses will always contain data that is consistent.

We must establish an RTO and RPO for each application based on effect analysis and risk assessment as part of disaster recovery planning. RTO is the longest period of time that can be tolerated between the interruption of a service and its resumption. This goal establishes the permissible window of time during which an application may be unavailable.

The maximum allowable time lag between the most recent data saved in the application and the data in the disaster recovery site is known as RPO. This goal establishes the maximum amount of time that a disaster-related interruption or data loss is deemed tolerable.

An AWS-managed solution for web applications is called Elastic Beanstalk. A pre-configured EC2 server called Elastic Beanstalk can directly accept our application code and environment configurations and utilize them to automatically provision and deploy the resources needed in AWS to operate the web application.

Elastic Beanstalk is a Platform as A Service (PAAS), as opposed to EC-2, which is Infrastructure as a Service because it enables users to directly use a pre-configured server for their application. Of course, we may deploy apps without ever using elastic beanstalk, but doing so would require that we select the best service from among the wide range of AWS services, manually provision these AWS resources, and then piece the resources together to create a whole web application.

Based on our learner survey, this is also one of the most frequently asked AWS interview questions.

AWS's Elastic Transcoder service is used to transcode media files from an S3 bucket into formats that can be played on a variety of devices. A media transcoder on the cloud is called Elastic Transcoder. It is used to change media files from their source format into a variety of formats that may be played on computers, tablets, smartphones, and other devices.

Since it offers to transcode pre-sets for various output formats, we may choose the parameters that are most effective for a certain device without having to make any educated guesses. If we utilize Elastic Transcoder, we must pay based on the amount of time and resolution we spend transcoding.

EC2 server is a computer with the operating system and hardware of our choice. But the fact that it is entirely virtualized makes a difference. On a single piece of physical hardware, we can run numerous virtual computers. A vital component of the AWS ecosystem is Elastic Compute Cloud (EC2). In the AWS cloud, EC2 makes scalable, on-demand computing capacity possible.

There is no need to maintain any rented hardware because Amazon EC2 instances erase the upfront hardware expenditure. We can create and launch applications more quickly thanks to it. As many virtual servers as we require can be launched using EC2 on the AWS platform. Additionally, we can scale up or down in response to changes in website traffic.

A must-know for anyone heading into an AWS interview, this question is frequently asked in AWS interviews.

The following are some features of EC2: 

1. Our applications can have direct access to the processor and memory of the underlying server with Amazon EC2 bare metal instances. 
2. While our instance is in hibernation, there will be no instance usage fees. Standard EBS rates apply to storage fees. 
3. For customers running extremely high-performance NoSQL databases, transactional systems, and Elastic Search workloads, High I/O I3 and I3en instances with NVMe-based SSDs are the best options. 
4. For usage with Amazon EC2 instances, Amazon EBS offers persistent, highly available, consistent, low-latency block storage volumes. 
5. For use in dynamic cloud computing, elastic IP addresses are static IP addresses. 
6. In contrast to conventional implementations, this functionality leverages a new network virtualization stack that offers better I/O performance and lower CPU consumption. 

On-Demand Instances, Reserved Instances, Spot Instances, and Dedicated Hosts are the four pricing tiers for Amazon EC2 instances. 

• On-demand Instances 

In this arrangement, depending on the instances we select, there are no upfront costs, and we only pay for computing capacity per hour or per second (only for Linux Instances). 

• Spot Instances 

Unused EC2 instances are known as Amazon EC2 Spot Instances in the AWS cloud. Spot Instances can be purchased for up to 90% less than on-demand rates. 

• Reserved Instances 

We can save up to 75% on Amazon EC2 Reserved Instances when compared to the cost of On-Demand Instances.  

• Dedicated Hosts 

A physical EC2 server designated for our usage is a dedicated host. 

The types of instances in EC2 are: 

• Memory-Optimized Instances 

Instances that are optimized for memory are designed for workloads that need the processing of large datasets in memory. 

• Compute-Optimized Instances 

Applications that need a lot of computation and assistance from powerful CPUs should use compute-optimized instances. Like general-purpose instances, we can use compute-optimized instances for workloads like web, application, and gaming servers. 

• General-Purpose Instances 

In general-purpose instances, the distribution of memory, processing power, and networking resources are balanced. 

• Storage Optimized Instances 

Workloads that require quick, sequential read and write access to enormous datasets are catered for by storage-optimized instances. 

• Accelerated Computing Instances 

In instances of accelerated computing, coprocessors are employed to do operations faster than CPU-based software. Examples of these functions include data pattern matching, graphics processing, and floating-point numerical computations. 

The root device volume houses the image that is used to boot an instance when we launch it. The root device for an instance launched from an AMI is an instance store volume produced from a template stored in Amazon S3 since, when we first released Amazon EC2, all AMIs were backed by the service. AMIs that are supported by Amazon EBS was introduced after we announced Amazon EBS.

This indicates that an Amazon EBS volume made from an Amazon EBS snapshot serves as the root device for an instance launched from the AMI. AMIs backed by Amazon EC2 instance store and AMIs backed by Amazon EBS are also options.

Scalable, quick, and web-based cloud storage is available through Amazon Simple Storage Service (Amazon S3). The service is made to archive and backup data and applications online for use with Amazon Web Services (AWS). The purpose of Amazon S3, which has a limited feature set, is to simplify web-scale computing for developers.

For items saved in the service, S3 offers 99.999999999% durability and supports a number of security and compliance certifications. S3 can be connected to other AWS security and monitoring services like CloudTrail, CloudWatch, and Macie by an administrator. There is a sizable network of business partners that connects their products directly to S3. Access to S3 application programming interfaces enables data transfer to S3 over the open internet (APIs).

A public cloud storage resource in Amazon Web Services' (AWS) Simple Storage Service (S3), an object storage service, is called an Amazon S3 bucket. The objects that are stored in Amazon S3 buckets, which resemble file folders, are made up of data and the metadata that describes it.

An S3 customer first establishes a bucket and gives it a globally distinctive name in the desired AWS region. To cut expenses and latency, AWS advises customers to select regions that are close to their location.

After creating the bucket, the user selects an S3 tier for the data, where each tier has a different level of redundancy, cost, and accessibility. Objects from several S3 storage tiers can be stored in the same bucket.

The following are the benefits of AWS S3: 

1. Durability- S3 offers a durability of 99.999999999 percent. 
2. Low Cost- A variety of "storage classes" are available with S3. These classes are determined by the frequency and promptness of your file access needs. 
3. Scalability- There are no overage or hidden costs with S3, and we only pay for the resources we really utilize. To effortlessly meet the shifting needs of our organization, we may scale our storage resources. 
4. Availability- S3 provides 99.99 % object availability. 
5. Security- S3 delivers an incredible selection of encryption capabilities and access management solutions that guarantee top-notch security. 
6. Flexibility- Data storage, data backup, software distribution, data archiving, disaster recovery, website hosting, mobile applications, Internet of Things devices, and many other uses are all excellent candidates for S3. 
7. Simple Data Transfer- Executing data transfers on S3 doesn't need being a computer expert. The focus of the service is on use and simplicity. 

The types of storage classes in S3 are as follows: 

• Amazon S3 Standard 

It provides high object storage performance, availability, and durability for frequently requested data and is used for general purposes. S3 Standard is suitable for a wide range of use cases, including big data analytics, mobile and gaming apps, dynamic websites, content distribution, cloud applications, and dynamic websites. In order to ensure durability, availability, and performance to a greater level, it is primarily utilized for general applications. 

• Amazon S3 Standard-Infrequent Access 

Users use S3 Standard-IA to access the less-used data. When needed, it needs to be accessed quickly. Using S3 Standard-IA, we can obtain high strength, high output, and low bandwidth. The backup and recovery of data should be kept for a long time. It serves as a repository for data used in disaster recovery. 

• Amazon S3 One Zone-Infrequent Access 

S3 One Zone-IA, which costs 20% less than S3 Standard-IA, stores data in a single Availability Zone as opposed to other S3 Storage Classes, which must store data in at least three Availability Zones. It is a great option for keeping extra backup copies of on-premises data or data that can be simply recreated. We can get the same high reliability, high throughput, and low latency with S3 One Zone-IA as with S3 Standard. 

• Amazon S3 Intelligent-Tiering 

The user's cost of storage is automatically reduced by the initial cloud storage. Based on frequency, it offers very affordable access without interfering with other performances. It also oversees challenging operations. Granular objects automatically see cost reductions thanks to Amazon S3 Intelligent - Tiering. Amazon S3 Intelligent - Tiering has no retrieval fees. 

• Amazon S3 Glacier Instant Retrieval 

It is an archive storage class that offers the most affordable data archiving storage and is structured to give us the best performance and flexibility. Access to archive storage is provided with the quickest speed via S3 Glacier Instant Retrieval. Data retrieval in milliseconds is the same as in the S3 standard. 

• Amazon S3 Glacier Deep Archive 

The Glacier Deep Archive storage class is made to offer huge data sets long-term, safe storage at a cost that is competitive with very low-cost off-premises tape preservation services. 

Replicating objects between buckets using Amazon Simple Storage Service (S3) Replication is a flexible, fully managed, and affordable service. Objects can be automatically and asynchronously copied between Amazon S3 buckets thanks to replication. The same AWS account or distinct AWS accounts may possess buckets that are set up for object replication. We can copy objects within the same AWS Region or between other AWS Regions. The status of object replication between buckets may now be tracked with the use of precise metrics and notifications provided by Amazon S3 Replication.

By tracking bytes pending, operations pending, and replication delay between our source and destination buckets, CloudWatch allows us to keep an eye on the replication status. We can quickly identify and fix configuration issues by using S3 Event Notifications to readily receive replication failure notifications.

A virtual private cloud (VPC) is a private cloud that is safe and independent and is hosted inside a public cloud. The private cloud is hosted remotely by a public cloud provider, but VPC customers can still perform all the duties of a conventional private cloud, such as running code, storing data, hosting websites, and so forth (Not all private clouds are hosted in this manner).

VPCs combine the scalability and usability of public cloud computing with the data isolation of private cloud computing. Businesses that want a private cloud environment but also want to take advantage of public cloud resources and savings stand to gain the most from VPCs.

This is a common AWS S3 interview question, so don't miss this one.

One of the most frequently posed AWS interview questions, be ready for it.  

Amazon VPC components are: 

1. Subnet: In a VPC, a subnet is a collection of IP addresses. It is a portion of a VPC that shares an address component and can contain resources like Amazon EC2 services. 
2. Route Table: They comprise the collection of guidelines used to determine how network traffic should be controlled. 
3. Virtual Private Gateway: To have a safe transaction, you must use the VPN (Virtual Private Network) hub on the Amazon side of the VPN connection. 
4. NAT Gateway: The Network Address Translation (NAT) Gateway modifies the private subnet's routing table to direct traffic there. 
5. VPC Peering: We can use an IPv4 or IPv6-based VPC peering connection to route traffic between two Virtual Private Clouds. 
6. Security Groups: The traffic for our sample is governed by a set of firewall rules. 
7. Elastic IP: A static IP address is a reserved public IP address that can be given to any instance in a certain region and never changes. 
8. Network Access Control Lists (NACL): It serves as a firewall to regulate traffic entering and leaving one or more subnets and is an optional layer of protection for your VPC. 
9. Customer Gateway: A presenter on our end of the connection is a customer gateway. A hardware or software appliance may be used. 
10. Network Interface: It is a link between public and private networks. 
11. VPC Endpoints: Without accessing the internet, it enables VPC to connect to other AWS services. 
12. IP Addressing: We can assign our IPv4 and IPv6 subnets to our virtual private networks (VPCs) using IP addresses. 

Managing the traffic, for instance, is a security group's job in a VPC. A single instance may exist in many different places. Actually, it serves as a fictitious firewall that can manage inbound and outbound traffic for several EC2 instances. The traffic within each security group's related instances can be managed by manually adding rules to the group.

Security groups can be found in the VPC and EC2 parts of the AWS UI. All security groups permit outgoing traffic by default. We can set rules to enable inbound traffic in a similar manner. However, we are only permitted to set up "allow" rules, not denial rules, to limit security rights. Additionally, regardless of the time, a security group's rules can be changed, and the change will take effect immediately.

This is a common AWS interview question, so don't miss this one.

Similar to how a network security group in a VPC controls inbound and outbound traffic, network ACLs perform the same role. The primary distinction between a security group and a network ACL is that the latter's function is to serve as a firewall for related EC2 instances, whilst the former is to serve as a firewall for related subnets. 

An ACL is automatically generated by your VPC by default, and it can be changed. This default network ACL, unlike a security group, permits all incoming and outgoing traffic by default. Additionally, a single ACL may be linked to numerous subnets. However, a network ACL can only ever be connected to one subnet at a time.

A method for safely tying up two or more virtual private clouds, or VPCs, is called VPC peering. A networking link between two VPCs that enables us to transmit traffic between them using private IPv4 addresses or IPv6 addresses" is what a VPC peering connection is," according to Amazon. Instances in either VPC can communicate with one another after being joined by a VPC peering connection in the same way as if they were on the same network.

VPC peering provides significant security and performance advantages in contemporary network designs with numerous clouds. However, in order to prevent potential problems with network performance, it's crucial to make sure that we correctly monitor and manage VPC peering arrangements.

A staple in AWS basic interview questions, be prepared to answer this one.  

An AWS service called AWS CloudFormation automates the creation of AWS resources by using template files. Because it can automate the setup and deployment of different Infrastructure-as-a-Service (IaaS) products on AWS, it can also be referred to as an infrastructure automation tool, an Infrastructure-as-Code (IaC) tool, or a cloud automation solution. Almost all AWS services are supported by CloudFormation.

The configuration of workloads that run on the most common AWS services, such as the EC2 compute service, the S3 storage service, and the IAM service for defining access control, can be automated using CloudFormation. Additionally, AWS services that focus on specialized use cases, such as Ground Station, the AWS satellite management service, can benefit from the use of CloudFormation templates.

The following are features of AWS CloudFormation: 

• Extensibility 

We can model and provision third-party resources and modules released by AWS Partner Network (APN) Partners and the developer community using the AWS CloudFormation Registry. 

• Cross-account Management 

With just one CloudFormation template, we can supply a common set of AWS resources across several accounts and regions. No matter where the stacks are, StackSets takes care of automatically and safely provisioning, updating, or deleting them. 

• Cross-use of Familiar Programming Languages 

We can define our cloud environment using TypeScript, Python, Java, and .NET with the help of the AWS Cloud Development Kit (AWS CDK). 

• Preview Changes to Your Environment 

We can preview how proposed changes to a stack would affect our currently running resources using AWS CloudFormation Change Sets, for instance, to see whether our changes will delete or replace any crucial resources. 

• Managing Your Dependency 

During stack management activities, AWS CloudFormation automatically maintains resource dependencies between our resources. 

Using a Text File or Programming Language, CloudFormation lets us model our entire infrastructure and application resources. The CloudFormation CLI and Registry make it simple to manage resources from third parties. With the support of CloudFormation, we can standardize the infrastructure components used throughout the company, enabling configuration compliance and accelerating troubleshooting.

CloudFormation automates the provisioning of our application resources in a repeatable, safe manner, enabling us to create and rebuild our infrastructure and applications without the need for manual labor or the use of specialized scripts. The management of selecting the appropriate operations to carry out when managing our stack, orchestrating them most effectively, and immediately undoing changes if problems are found is handled by CloudFormation.

The steps involved in CloudFormation are: 

• Choose a Template 

We must first create a template that lists the resources we wish to include in our stack. We utilize a supplied sample template for this phase. 

• Ascertain That you Have all the Materials for the Stack Ready 

Prior to building a stack using a template, confirm that all necessary dependent resources are available. Both resources declared in the template itself and resources already present in AWS can be used or referenced by a template. 

• Create the Stack 

Our stack will be built using the WordPress-1.0.0 file that was previously mentioned. Several AWS resources, including an EC2 instance, are included in the template. 

• Track the Development of the Stack 

The resources indicated in the template are started being created by CloudFormation once we have finished the Create Stack dialogue. The CloudFormation console's list at the top includes our new stack, MyWPTestStack. It should have the status CREATE IN PROGRESS. By viewing its events, we can examine a stack's detailed state. 

• Use your Stack Resources 

When CloudFormation has completed generating the stack MyWPTestStack and its state is CREATE COMPLETE, we can begin accessing the stack's resources. 

• Tidy Up 

The CloudFormation getting started tasks have been finished by us. We can clean up by eliminating the stack and its resources to make sure we aren't charged for any unnecessary services. 

A Stack is a grouping of AWS resources that may be managed as a single entity. The template for CloudFormation defines a stack where resources may be reliably added, removed, or changed. All of the hardware (web server, database, etc) needed to run a web application may be present in a stack. A hierarchy of stacks is created by nested stacks. We are able to build stacked stacks by using the CloudFormation stack resource.

With a Windows stack, we can customize and update our stack in Windows instances. We can build Microsoft Windows stacks for the Windows AMI on Amazon EC2 using AWS CloudFormation.

Amazon's block-level storage solution, called AWS Elastic Block Store (EBS), is used with the EC2 cloud service to store persistent data. This means that even when the EC2 instances are shut down, the data is retained on the AWS EBS servers. Users can grow storage capacity at a low subscription-based cost since EBS offers the same high availability and low latency characteristics inside the chosen availability zone.

Similar to a traditional block storage drive, the data volumes can be dynamically attached, detached, and scaled with any EC2 instance. The EBS solution, a very reliable cloud service, promises a 99.999% uptime. The normal EC2 Instance Store, which just makes temporary storage on the physical EC2 host servers available, is different from AWS EBS.

It's no surprise that this one pops up often in AWS Cloud interviews.  

One of the most frequently posed S3 interview questions, be ready for it.  

The five different EBS volume types are as follows: 

1. General Purpose SSD (gp2): The root volume of our instance by default on EC2 is the SSD (Solid State Drive). For simple input/output activities, SSDs outperform HDDs by a wide margin (Hard Disk Drive). Its price-to-performance ratio is favorable (measured in IOPS - Input-Output Operations per second).
2. SSD with Provisioned IOPS (io1): The most expensive and time-consuming EBS volume. They are made for applications like sizable Relational or NoSQL databases that demand a lot of I/O.
3. Throughput-Optimized HDDs (st1): These low-cost magnetic storage volumes, whose performance is gauged in terms of throughput, are known as throughput-optimized HDDs (st1).
4. Cold HDDs (sc1): Even less expensive than throughput-optimized magnetic storage are cold HDDs (sc1). They are made to handle heavy, sequential cold workloads, such as those on a file server.
5. Magnetic (standard): Workloads with occasional data access are best suited for these older-generation magnetic discs.

The following are the benefits of AWS EBS: 

1. Speed and Agile- Traditional on-premises installations involve a drawn-out procurement process that necessitates significant upfront capital expenditure and several clearances. 
2. Cost Efficient- When not in use, turn off non-production environments to reduce costs. 
3. Flexible- We can quickly build as many new environments as we require with AWS. Our instances can be scaled up or down at any moment, and we only pay for the capacity we really use. 
4. Test Application Performance- On the AWS Cloud, a performance test environment may be rapidly and easily generated for the exact length of the performance-test cycle and only used as needed. By only paying for the capacity, we utilize while using it, we can save money once more. 

An EC2 instance that uses an EBS volume as its root device is known as an "EBS-backed" instance. A single EC2 instance can have up to 27 EBS volumes attached to it. Additionally, for a few instances kinds, this count varies.  For optimal performance, restrict the number of EBS maximum volumes attached to EC2 instances. Plan our instance capacity as well according to the workload we intend to run.

For instance, databases need a lot of IOPS to support high read-write rates. The size of the disc affects IOPS. The IOPS increases as the size increases. It is advised to create EBS volume snapshots for high data availability and recovery choices.

Any EC2 instance located in the same Availability Zone can have an Amazon EBS volume attached to it. We can only attach a created encrypted EBS volume to specified instance types.

Techniques for creating an EBS volume:

1. When you launch instances, you can create and attach EBS volumes by specifying a block device mapping. See Block device mappings and launch an instance using the new launch instance wizard for more details.
2. Attach a newly created EBS volume to an active instance. Creating an empty volume is where we can find out more information.
3. From a previously made snapshot, we will build an EBS volume and attach it to an active instance.
4. Create a volume from a snapshot below for further details.

In AWS, a policy is an object that, when linked to an entity or resource, determines the rights of that resource or entity. The following guidelines can be established for user passwords:

1.  A minimum password length can be specified.
2.  We can request that users make their passwords at least one number or another unique character.
3.  Determining the specifications for certain character kinds, such as uppercase, lowercase, numerals, and non-alphanumeric characters.
4.  The next time while checking in to AWS, we can request a password reset, enforce automatic password expiration, and restrict the reuse of previous credentials.
5.  When the user has permitted the password to expire, we can instruct AWS users to get in touch with an account administrator.  

A common AWS interview question for experienced professionals, don't miss this one.

A staple in AWS interview questions, be prepared to answer this one.  

Amazon Relational Database Service uses Amazon Elastic Block Store to provide raw block-level storage that may be linked to Amazon EC2 instances. It is one of the two alternatives for block storage that AWS provides; the other is EC2 Instance Store.

Data on EBS cannot be accessed directly with an AWS graphical interface. The EBS volume is given to an EC2 instance as part of this procedure. We can write to or read from this disc when it is attached to either a Windows or a Unix instance. First, we can create unique volumes using screenshots taken from the data-containing volumes. Each EBS volume in this instance can only be connected to one instance.

AWS CloudTrail keeps track of user API activity and gives access to the data. We may obtain complete information about API operations using CloudTrail, including the caller's identity, the time of the call, the request parameters, and the contents of the response. On the other side, AWS Config stores configuration items that represent point-in-time configuration information for our AWS resources (CIs).

A CI can be used to determine the state of AWS resources at any given time. In contrast, we may rapidly determine who called an API to alter a resource by utilizing CloudTrail. If a security group was configured improperly, we can find out via Cloud Trail.

An instance is derived from an AMI, which acts as a kind of blueprint for virtual machines. When launching an instance, AWS provides pre-baked AMIs that you can select from. Some of these AMIs are not free; instead, they must be purchased through the AWS Marketplace.

To conserve space on AWS, we can also decide to design our own unique AMI. We can modify AMI to do that, for instance, if we don't require a particular collection of software on the installation. This reduces costs because we are getting rid of unnecessary items. This is how I believe AMI fits into the design of an AWS system.

If a backup AWS Direct connect has been set up, it will switch to the backup in the event of a failure. To ensure quicker detection and failover, it is advised to set Bidirectional Forwarding Detection (BFD) while configuring your connections. In contrast, if we have set up a backup IPsec VPN connection, all VPC traffic will automatically failover to that connection.

Traffic will be sent/received over the Internet to/from open resources like Amazon S3. In the event of a failure, Amazon VPC traffic will be lost if we don't have a backup AWS Direct Connect link or an IPsec VPN link.

One of the most frequently posed AWS interview questions, be ready for it.  

When an EC2 instance's CPU use exceeds 80%, it can be done by setting up an autoscaling group to deploy more instances. Additionally, traffic can be distributed among instances by creating an application load balancer and designating specific EC2 instances as target instances.

All of the scalable resources that enable a user's application are automatically discovered by AWS Auto Scaling, which also monitors their performance. These resources can be spread over several cloud services. Additionally, it allows us to view resource usage for many services through a single user interface.

The cloud provider's Auto Scaling solution, which can only scale individual services, is different from AWS Auto Scaling. Step scaling policies and scheduled scaling, neither of which are supported by AWS Auto Scaling, are made possible by this utility, which comes with two separate APIs.

One of the key factors in businesses shifting to the cloud has been the capacity to scale up in response to client demand and scale back once that need has been met. With the help of AWS autoscaling, anyone may maintain application performance in a single unified interface and do so at the most affordable cost. AWS Auto Scaling is a service that aids users in monitoring applications and automatically modifies capacity to provide constant, predictable performance at the least expensive rate.

Using AWS Auto Scaling groups, a multi-availability zone application load balancer can be built. Mount a target on each instance, then save data in Amazon EFS. The Amazon Elastic File System is a serverless, set-and-forget elastic file system (Amazon EFS).

Amazon Simple Email Service (Amazon SES), a cloud-based email-sending service, can be used to achieve this. Pay-per-use service Amazon Simple Email Service enables us to integrate email functionality into an AWS-based application. This solution delivers a high rate of email deliverability and quick, simple access to our email-sending statistics using SMTP or a straightforward API call. 

Additionally, it offers built-in alerts for both successful and failure email delivery as well as complaints. Email or the Amazon Simple Notification Service can be used by Amazon SES to send bounce-back and complaint messages.

Up to 5 terabytes of objects or data can be stored using Amazon S3. We must use the Multipart upload tool from AWS to upload a file larger than 100 megabytes. We can upload a huge file in numerous sections by using multipart upload.

There will be separate uploads for every component. It is not important which order the parts are uploaded in. To save overall time, it even permits uploading various components simultaneously. When all the components are uploaded, this tool unifies them into one object or file that served as the foundation for the components.

This is a frequently asked AWS Solution Architect interview question as well.

We will make an AMI of the server that is currently active in the US Ohio region. The administrator will want 12-digit account number of AWS account once AMI has been produced. This is necessary in order to duplicate the AMI that we have developed.

We can launch the instance using the cloned AMI in the Mumbai region when the AMI has been successfully copied into that area. The server in the Ohio (US) region might be shut down once the instance has started and is fully functional. The easiest way to move a server to a new account is to do it in this manner.

We would use instances with EBS Volume or instances backed by EBS. EBS volume serves as the root volume for EBS-backed instances. Operating Systems, applications, and data are all contained in these volumes. From these volumes, we can produce snapshots or an AMI. EBS Snapshots are a point-in-time replica of your data that can be used to facilitate data migration between regions and accounts, enable disaster recovery, and enhance backup compliance.

Through AWS Management Console, AWS Command Line Interface (CLI), or the AWS SDKs, we may generate and manage our EBS Snapshots. The primary benefit of an EBS-backed volume is the ability to configure the data to be kept for later retrieval even if the virtual machine or instances are terminated.

Expect to come across this popular question in AWS interviews.

Every availability zone can have an in-memory cache powered by ElastiCache deployed. In each availability zone, this will facilitate the creation of a cached version of the website for speedier access. Amazon ElastiCache is an in-memory caching service that is completely controlled and supports a variety of real-time use cases. ElastiCache can be used as a primary data store for use cases including session stores, gaming leader boards, streaming, and analytics, or for caching, which improves application and database performance.

Redis and Memcached are compatible with ElastiCache. Additionally, we can create an RDS MySQL read replica for each availability zone, which will aid in more effective read operations. Therefore, RDS MySQL instance won't experience an increase in workload, which will resolve the contention issue.

The two types of scaling are vertical scaling and horizontal scaling. Our master database can be vertically scaled up with the click of a button thanks to vertical scaling. The RDS can be resized in 18 different ways, however, databases can only be scaled vertically. Horizontal scaling, on the other hand, is advantageous for copies. These can only be carried out using Amazon Aurora because they are read-only replicas.

A relational database engine called Amazon Aurora combines the ease of use and low cost of an open-source database with the strength, speed, and dependability of a top-tier commercial database. Performance with Aurora is three times better than PostgreSQL and five times greater than a conventional MySQL database.

An example of this kind of design is a hybrid cloud. Why? because we utilize both the on-site servers, or private cloud, and the public cloud. Wouldn't it be better if our private and public clouds were all on the same network to make this hybrid architecture easier to use? (virtually). 

This is done by putting the public cloud servers in a virtual private cloud and utilizing a VPN to connect it to the on-premises systems (Virtual Private Network). From the cloud to on-premises to the edge, AWS hybrid cloud services give a consistent AWS experience wherever we need it.

One of the most frequently posed AWS interview questions, be ready for it.  

If we have not selected the encryption option while creating the EBS volume and we have to do it afterward, we can do it using Snapshots. EBS Snapshots are a point-in-time replica of your data that can be used to facilitate data migration between regions and accounts, enable disaster recovery, and enhance backup compliance. 

Following are the steps to encrypt the volume using Snapshot: 

1. Create a snapshot of the unencrypted root device volume. 
2. Create a copy of that snapshot and select the encrypt option while creating the snapshot. 
3. Create an AMI from the encrypted snapshot we created in step 2. 
4. Use this AMI to launch new encrypted instances. 

A load-balancing service for Amazon Web Services (AWS) installations is called Elastic Load Balancing (ELB). ELB automatically adjusts resources to meet traffic demand and distributes incoming application traffic. Additionally, it aids an IT team's capacity adjustment in response to incoming application and network traffic. In order to serve users more quickly overall, load balancing distributes the workload among a number of computers. Elastic Compute Cloud (EC2) instance health detection is one of the improved functionalities offered by ELB.

• Spreading only healthy routes, for instance. 
• Flexible support for ciphers. 
• Secure Sockets Layer (SSL) certificate administration centralized. 
• Public key authentication is optional. 
• Both IPv4 and IPv6 support. 

Key features of ELB are: 

1. Amazon's EC2 is the most well-known service that uses ELB because ELB runs a health check on each instance to make sure it is still running before directing traffic to it. ELB routes traffic to the remaining healthy EC2 instances when an instance fails or becomes unwell. 
2. A developer can make sure enough EC2 instances are running behind an ELB by using AWS' Auto Scaling capability. 
3. For improved network security, ELB supports apps on an Amazon Virtual Private Cloud. Whether a load balancer should be internal or external to the internet can be specified by an IT team. 
4. Security 
5. Automatic scaling 
6. High availability

The following load balancer types are supported by elastic load balancing:

• Application Load Balancers 

Applications running in the public cloud provided by Amazon Web Services (AWS) can be configured and routed using application load balancers. It distributes traffic among numerous targets located in various AWS Availability Zones. 

• Network Load Balancers 

Using the TCP/IP networking protocol, the Network Load Balancing feature distributes traffic among numerous servers. 

NLB offers stability and performance for web servers and other mission-critical servers by joining two or more machines that are executing programs into a single virtual cluster. 

• Gateway Load Balancers 

We may deploy, scale, and manage virtual appliances including firewalls, intrusion detection, and prevention systems, and deep packet inspection systems using Gateway Load Balancers (GLB). The network layer, the third tier of the Open Systems Interconnection (OSI) model, is where a gateway load balancer operates. 

• Classic Load Balancers 

It operates at both the request level and connection level and offers fundamental load balancing across several Amazon EC2 instances. Applications created on the EC2-Classic network are the target audience for Classic Load Balancer. 

This is often listed as one of the most frequently asked AWS interview questions by aspirants.

1. For a network connection to be successful, IP addresses of the Windows adapter and network interface must coincide.
2. Launch the terminal for Amazon Elastic Compute Cloud (Amazon EC2).
3. The region in which we wish to create our network load balancer should be selected.
4. We should assign our network load balancer elastic IP addresses.

Note: Ensure that we create the same amount of Elastic IP addresses for each Availability Zone that we choose to have subnets in. Refer to Elastic IP address limit for additional details. 

1. Select Load Balancers from the Load Balancing menu.
2. Decide to create a load balancer.
3. Select Create for Network Load Balancer.
4. Choose the VPC where the network load balancer will be provisioned.
5. i. Go for the desired Availability Zone by checking the box. Availability Zone's subnet should then be chosen.
6. A public IP address is given by the Network Load Balancer by default. If want to utilize an elastic IP address, select Choose an Elastic IP under IPv4 address.
7. Choose an Elastic IP address from those offered in the region chosen. The interfaces of the Network Load Balancer will receive this IP address.
8. (Optional) For each additional availability zone, repeat steps 8 through 9.
9. The remaining stages for building a network load balancer must be followed.

A cluster is a group of servers that functions like a single system, and clustering is a technique for combining numerous computer servers into one.

An active-active cluster is possible, but it necessitates running multiple instances of SQL Server on each node. A database cluster is a group of databases that are controlled by one instance of a database server that is active.

The distribution of workloads among various computing resources, such as PCs, server clusters, network links, etc., is known as load balancing.

From the perspective of an SQL Server, load balancing doesn't exist (at least in the same sense as web server load balancing).

AWS Route 53, also known as Amazon Route 53, is a highly available and scalable Domain Name System (DNS) service that is a component of Amazon Web Services (AWS), a cloud computing platform from Amazon.com. Its name, which was first used in 2010, alludes to both the historic US Route 66 and the TCP or UDP port that DNS server requests should go via.

The URL www.wordpress.com is converted by AWS Route 53 into its corresponding numeric IP address, which in this case is 198.143.164.252. AWS Route 53 makes it easier to direct people to internet applications using cloud architecture in this way. User queries are routed through the AWS Route 53 DNS service to AWS-based infrastructures such as Amazon EC2 instances, Amazon S3 buckets, and ELB load balancers.

It's no surprise that this question pops up often in S3 interviews.

Route 53 With the help of a drag-and-drop graphical user interface, an Amazon Web Services customer can use the domain name system service Traffic Flow to describe how end-user traffic is routed to application endpoints, simplifying traffic management.
To begin the Route 53 Traffic Flow service, create a traffic control rule or a DNS entry to connect to an endpoint. To decide how traffic should be routed, Route 53 Traffic Flow uses a set of concepts. The four categories of rules are latency, geolocation, weighted failover, and failover. All guidelines can be applied to health checks, which assess whether a server is appropriate for hosting traffic.

Different types of routing policies in Route53 are:

Simple Routing Policy 

When there is only one resource performing the required function for the domain, a basic routing policy, which is a straightforward round-robin strategy, may be used. Based on the values in the resource record set, Route 53 answers DNS queries. 

Weighted Routing Policy 

Traffic is sent to separate resources according to predetermined weights, such as 75% to one server and 25% to the other, with the aid of a weighted routing policy. 

Latency-based Routing Policy 

To respond to a DNS query, a latency-based routing policy determines which data center provides us with the least amount of network latency. 

Failover Routing Policy 

In an active-passive failover arrangement, one resource (the primary) receives all traffic when it is functioning normally, and the other resource (the secondary) receives all traffic when the main is malfunctioning, which is permitted by failover routing rules. 

Geolocation Routing Policy 

To reply to DNS requests based on the users' geographic locations or the location from which the DNS requests originate, a geolocation routing policy is used. 

Geoproximity Routing Policy 

Based on the physical locations of the users and the resources, geoproximity routing assists in directing traffic to those locations. 

Multivalue Routing Policy 

Multiple values can be returned in answer to DNS requests thanks to multivalue routings, such as the IP addresses of the web servers. 

This question is a regular feature in AWS interviews, be ready to tackle it.  

Route 53 offers the user a number of advantages: 

• Highly Available and Reliable 

Utilizing AWS's dependable and highly available architecture, AWS Route 53 was created. Because DNS servers are dispersed across numerous availability zones, consumers are regularly routed to your website. 

With a simple re-route setup when the system fails, Amazon Route 53 Traffic Flow service helps to increase reliability. 

• Flexible 

Users of Route 53 Traffic Flow have the freedom to select traffic policies depending on a variety of factors, including endpoint health, geography, and latency. 

• Simple 

Within minutes after your setup, Route 53 in AWS responds to your DNS queries; this is a self-service sign-up. 

• Fast 

Route 53 distributed Low-latency services are provided by DNS servers all around the world. because they direct users to the closest available DNS server. 

• Cost-effective 

We only pay for the services we use, such as the hosted zones that manage our domains, the number of queries handled per domain, etc. 

• Secure 

With your AWS account, we can make each user a different set of credentials and permissions, but we must specify which sections of the service each user has access to. 

Although Amazon Route 53 is a powerful DNS service with cutting-edge functionality, it also has a number of drawbacks. Below we have mentioned of a few of them:

1. For domains used on an on-premises network, Route 53 does not offer conditional forwarding or forwarding options. 
2. Route 53 might become a single point of failure when combined with other AWS services. 
3. Only minimal load balancing capabilities are offered by the features of the AWS Route 53 load balancer, which lacks advanced policy support and enterprise-class functionality. 
4. The service is pricey for companies using Route 53 with non-AWS destinations or services. 
5. All AWS Route 53 requests must first contact Amazon infrastructure before being redirected to outside servers. 

The configuration of AWS resources in our AWS account is shown in great detail by AWS Config. So that we can observe how the configurations and relationships alter over time, this also includes how the resources are connected to one another and how they were previously set up.

An Amazon Elastic Compute Cloud (EC2) instance, an Amazon Elastic Block Store (EBS) volume, a security group, or an Amazon Virtual Private Cloud are all examples of AWS resources (VPC). We may analyze, audit, and evaluate the configurations of our AWS resources using the service known as AWS Config. We can use it to automatically compare recorded configurations to desired setups.

Expect to come across this popular question on AWS configuration. AWS interview questions and answers like these will help you construct ideal responses during interviews.

The configuration of a resource at a specific time is known as a configuration item (CI). A CI has five sections: 

1. Common elements of the resource's description that apply to all resource kinds (e.g., Amazon Resource Names, tags). 
2. Configuration information for the resource (e.g., Amazon EC2 instance type). 
3. Map of connections to other resources, such as "connected to instance" EC2 Instance i-3432ee3a by EC2:Volume vol-3434df43. 
4. Event IDs from AWS CloudTrail that are relevant to this state. 
5. Metadata aids in the identification of the CI's characteristics, such as the CI's version and the time it was recorded. We pay for AWS Config according to the number of configuration items (CIs) that are registered for supported resources in our AWS account. 

To assess the configuration options for our AWS resources, we use AWS Config. We can accomplish this by developing AWS Config rules, which serve as an excellent configuration setting representation. To assist us in getting started, AWS Config offers customized, pre-defined rules referred to as managed rules.

AWS Config continuously monitors the configuration changes that take place across our resources and verifies that they adhere to the criteria in our rules. AWS Config labels the resource and the rule as non-compliant if a resource does not follow the rule.

AWS Config, for instance, can check an EC2 volume against a rule that mandates volumes to be encrypted when the volume is created. AWS Config marks the volume and the rule as non-compliant if the volume is not encrypted.

We must first obtain a list of the DNS record information for our domain name. This information is typically accessible as a "zone file," which we may obtain from the current DNS provider. Once we have the DNS record information, we can build a hosted zone to store our domain name's DNS records using the Route 53 Management Console or a straightforward web-services interface.

It also entails actions like changing the domain name's nameservers to those linked to the hosted zone. We must follow the transfer procedure and get in touch with the domain name registrar used to register the domain. DNS requests will be answered as soon as registrar propagates the new name server delegations.

The following are the benefits of AWS Config: 

• Security Analysis & Resource Administration 

It enables ongoing oversight and monitoring of resource configurations and helps us assess them for any errors that can result in security flaws or vulnerabilities. 

• Continuous Monitoring 

This feature enables us to track and monitor in-flight configuration changes to our AWS resources. It enables us to keep track of all the AWS resources, their settings, and software configurations inside EC2 instances. We may receive an Amazon Simple Notification Service (SNS) notification for our review and action after a change from a previous state is identified. 

• Assessment on a Continuous Basis 

This feature enables us to audit and evaluate the general conformity of our AWS resource setups with our company's policies and standards. We can provide rules for building and configuring Amazon Web Services using configuration. These regulations may be provided alone or as part of a package, or "conformance pack," that includes compliance remediation measures that can be applied instantly throughout our entire company. 

• Monitoring Compliance Throughout the Entire Organization 

With Config's multi-account, multi-region data aggregation, we can check compliance status across our organization and spot accounts that aren't in compliance. To examine the status of a particular region or account across regions, we can drill down further. Instead of having to retrieve this information separately from each account and each location, we may examine this data from the Config interface in a central account.