AWS Interview Questions and Answers

Amazon says that Netflix, Airbnb, Samsung, and NASA are among the many leading organizations that are powered by AWS. This is why AWS professionals earn some of the highest salaries in the tech industry, and AWS Certification is among the highest-paid certifications worldwide.

MindMajix has prepared AWS Interview Questions that are packed with advanced concepts to crack AWS interviews and secure your dream job as an AWS Engineer, AWS Solutions Architect, or AWS DevOps Engineer.

We have categorized these questions into different levels. They are:

• Freshers
• Experienced
• Scenario-Based
• FAQs
• Interview Preparation Tips
• Job Responsibilities
• Conclusion

Top AWS Interview Questions For Freshers

In this section, we'll discuss some basic AWS interview questions and answers to help you get better acquainted with AWS fundamentals.

1. What is AWS, and what are its core services?

AWS (Amazon Web Services) is a comprehensive cloud computing platform offered by Amazon, featuring more than 200 fully featured services across data centers worldwide. 

The primary services are EC2 (Compute) for compute power, S3 (Storage) for storage, RDS (Database Service) for databases, Lambda (Serverless Application) for serverless applications, and IAM (Identity and Access Management) for identity and access management.

2. Tell us what you know about Amazon EC2?

EC2 is a virtual server that you can rent on AWS. It lets you run an operating system and any programs that run on it to the fullest extent. EC2 is scalable and cost-effective for a variety of compute needs.

• The following use cases apply to the following types, where you need a storage gateway for hosting web applications, running batch jobs, and machine learning workloads
• Key Benefit: It enables you to zoom in or out in minutes. This function allows you to scale up or down by minutes.

3. What is Amazon S3?

AWS S3, or Simple Storage Service, is an object storage service provided by AWS. It's for storing and accessing any and all data, anytime, anywhere on the web. Images, backups, logs, videos, and more can be stored in S3, and these can be as large as 5TB.

# Upload a file to S3 using AWS CLI
aws s3 cp myfile.txt s3://my-bucket/myfile.txt

# List objects in a bucket
aws s3 ls s3://my-bucket/

4. What is AWS IAM? Can you give a code for it?

IAM (Identity and Access Management) is where you manage what you can access within your AWS account. We have a user, a group, and a role to which we add policies that define permissions. The golden rule: The principle of least privilege always applies.

The example policy below gives read-only access to S3.

// Example IAM policy: Allow read-only S3 access
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": ["s3:GetObject", "s3:ListBucket"],
      "Resource": "arn:aws:s3:::my-bucket/*"
    }
  ]
}

5. Can you tell us something about AWS Lambda with a sample code?

AWS Lambda is a serverless compute service. You write a function, upload it, and AWS runs it when triggered — no servers to manage. Lambda scales automatically, and you are billed only for the milliseconds of execution.

# Simple Lambda function example
import json

def lambda_handler(event, context):
    name = event.get("name", "World")
    return {
        "statusCode": 200,
        "body": json.dumps(f"Hello, {name}!")
    }

6. What is Amazon CloudWatch?

CloudWatch continuously monitors your AWS services and applications. Can gather logs, metrics, events, and can configure alarms to notify or trigger an action such as scaling or message sending based on when a metric exceeds a threshold.

• Common usage: Alarm when CPU is over 80% and take action to Auto Scale a group.
• Logs Insights: Run queries directly against your application logs.

7. Can you explain AWS Management Console?

AWS Management Console is a browser-based interface that we use to manage all services in AWS. It allows us to launch EC2 instances, create S3 buckets, configure IAM roles, policies, etc., basically the entire environment management with no requirement for CLI.

8. Can you state the key AWS service categories?

The top product categories of AWS are:

• Compute
• Storage
• Database
• Networking and Content Delivery
• Machine Learning and AI
• Security and Identity
• Developer Tools
• Analytics.

9. Have you heard about the two types of queues in Amazon SQS?

• Standard Queues: Default type of queue. Infinite throughput, at-least-once delivery.
• FIFO Queues: Messages are delivered exactly in the order they were sent. Useful for transactions, order processing, etc.

10. What is Amazon DynamoDB?

DynamoDB is a fully managed NoSQL key-value and document database that seamlessly scales to handle millions of requests per second with single-digit millisecond latency. No server management required. 

Best for gaming leaderboards, user sessions, IoT telemetry, e-commerce carts, etc.

11. What is an AMI (Amazon Machine Image)?

An AMI (Amazon Machine Image) is essentially a template that contains the information required to launch an EC2 instance. This includes the root device volume (which is an image of the operating system and applications) and launch permissions. It's like a blueprint for your server.

12. What is the difference between stopping and terminating an EC2 instance?

If we stop an EC2 instance, it shuts down while preserving its state and data, and it can be restarted when needed. Terminating an instance is equivalent to deleting it, where all volumes attached get deleted, and it cannot be restarted. 

13. What is Amazon VPC (Virtual Private Cloud)?

A VPC lets us create a secure, isolated network within AWS, similar to a traditional on-premises setup. It includes subnets (split into public & private networks), route tables (to define traffic paths), IGW/NAT for internet connectivity, and Security Groups (stateful, instance-level) vs NACLs (stateless, subnet-level) for layered security.

14. Explain the AWS Shared Responsibility Model.

The AWS Shared Responsibility Model divides security duties between AWS and the customer. AWS secures the infrastructure, like hardware, software, and data centers, while customers manage data, access, and application security.

15. What is Amazon S3 Glacier?

It is a storage class designed for data archiving, enabling flexible data retrieval with high performance. So, data can be accessed faster in milliseconds, and S3 Glacier offers a low-cost service.

There are three S3 Glacier storage classes: Glacier Instant Retrieval, S3 Glacier Flexible Retrieval, and S3 Glacier Deep Archive.

16. Explain AWS Elastic Beanstalk.

This AWS service helps deploy and manage applications in the cloud quickly and easily. Here, developers need to upload the code; after that, Elastic Beanstalk will handle the other requirements automatically. Simply put, Elastic Beanstalk manages everything from capacity provisioning and auto-scaling to load balancing and application health monitoring.

17. What is AWS CloudTrail?

This AWS service monitors user activity on AWS infrastructure and records it. This service identifies suspicious activity on AWS resources using CloudTrail insights and Amazon EventBridge. So, you can get reasonable control over your resources and response activities. In addition, it analyses the log files using Amazon Athena.

18. What is AWS Elastic Disaster Recovery?

This AWS service reduces application downtime at scale by quickly recovering applications, both on-premises and in the cloud, in the event of an application failure. It needs minimal computing power and storage and achieves point-in-time recovery.

It helps restore applications to the same state they were in when they failed within a few minutes. Mainly, it reduces recovery costs considerably compared with typical recovery methods.

AWS Interview Questions and Answers For Experienced

Next, let's move on to advanced AWS interview questions and answers that will deepen your expertise with the platform.

19. What is the difference between S3 and EBS?

Feature	S3	EBS
Type	Object storage	Block storage
Access	Any app, globally	Only attached EC2 instance
Use Case	Files, backups, static assets	OS volumes, databases
Speed	Slower	Faster
Persistence	Always	Persists until deleted

Use S3 for static files and data sharing. Use EBS when EC2 needs fast, persistent disk access.

20. What are the types of EC2 instances?

The EC2 instances are clustered according to the type of workload:

• General Purpose (t3, m6i) - A good balance of CPU and Memory, for most of the applications
• Compute Optimized (c6i) - Good amount of CPU for computing-intensive applications, suitable for batch processing and machine learning inference
• Memory Optimized (r6i) - A large amount of memory to process in-memory large data sets and used for caching.
• Storage Optimized (i3) - Optimized for high sequential read and write IOPS, for workloads such as big data analytics and transactional databases.
• Accelerated Computing (p4, g4) - Accelerated Computing machines are equipped with GPU hardware for machine learning training and graphics workloads.

21. Do you know about EC2 Auto Scaling and how it works?

Auto Scaling will add or remove EC2 instances according to configured policies to maintain performance and cost. Two modes:

• Dynamic Scaling — adjusts to changes in demand at run-time
• Predictive Scaling — scales proactively based on ML predictions of demand.

# Create a simple Auto Scaling group via CLI
aws autoscaling create-auto-scaling-group \
  --auto-scaling-group-name my-asg \
  --launch-template LaunchTemplateName=my-template \
  --min-size 1 --max-size 5 --desired-capacity 2 \
  --availability-zones us-east-1a us-east-1b

22. Tell us about Elastic Load Balancing (ELB) and its types?

ELB can balance incoming traffic across multiple targets to prevent any single target from being overwhelmed. There are three types:

• Application Load Balancer (ALB) — Layer 7, ideal for HTTP/HTTPS and Web applications
• An ultra-low latency load balancer for TCP/UDP traffic that operates at Layer 4 of the network stack.Network Load Balancer (NLB) — Layer 4, ultra-low latency for TCP/UDP traffic
• Gateway Load Balancer (GWLB) — to deploy third-party virtual appliances, such as firewalls.

23. What are the differences between Spot, On-Demand, and Reserved Instances?

• Spot: Use unused AWS capacity at up to 90% discount. AWS can reclaim with a 2-minute notice. Best for fault-tolerant, flexible workloads like batch jobs.
• On-Demand: Pay per hour or second, no commitment. Most flexible, most expensive.
• Reserved: Commit to 1 or 3 years, save up to 72%. Best for predictable, steady workloads.

24. What are the differences between RTO and RPO in AWS Disaster Recovery?

• RPO (Recovery Point Objective) — How much data loss is acceptable? Measures the maximum tolerable period of data loss (e.g., "we can afford to lose up to 1 hour of data").
• RTO (Recovery Time Objective) — How long can the system be down? Measures the maximum tolerable recovery time (e.g., "we must be back online within 15 minutes").

25. Have you used S3 Object Lambda? Can you give us a code for it?

S3 Object Lambda lets you run Lambda code on data as it is being retrieved from S3 — without storing a modified copy. Use cases include redacting PII before returning data to an app, converting file formats on the fly, and filtering rows from a dataset.

# S3 Object Lambda — redact email addresses before returning data
import boto3
import re

def lambda_handler(event, context):
    s3 = boto3.client('s3')

    # Get the original object
    input_s3_url = event["getObjectContext"]["inputS3Url"]
    response = boto3.client('s3').get_object(
        Bucket="my-bucket", Key="data.txt"
    )
    data = response['Body'].read().decode('utf-8')

    # Redact email addresses
    redacted = re.sub(r'[\w.-]+@[\w.-]+', '[REDACTED]', data)

    # Return modified data
    s3.write_get_object_response(
        Body=redacted,
        RequestRoute=event["getObjectContext"]["outputRoute"],
        RequestToken=event["getObjectContext"]["outputToken"]
    )

26. What is the difference between ECS and EKS?

ECS is AWS-native and tightly integrated with services like IAM, VPC, and ELB. These are the best for applications that don't require multi-cloud portability or advanced orchestration.

EKS provides a fully managed Kubernetes environment that supports the full Kubernetes ecosystem, but it requires deeper expertise and has a steeper learning curve.

27. How would you configure Lambda to access a private RDS instance inside a VPC?

By default, Lambda runs outside your VPC. To access private resources such as RDS, you configure Lambda to run within your VPC by specifying a subnet and security group.

# Configure Lambda to run inside your VPC
aws lambda update-function-configuration \
  --function-name my-function \
  --vpc-config SubnetIds=subnet-abc123,SecurityGroupIds=sg-xyz456

Ensure outbound connections to the RDS port (3306 for MySQL) are enabled on the security group, and inbound connections to the Lambda security group are enabled on the RDS security group.

28. What is the difference between CloudWatch and CloudTrail?

	CloudWatch	CloudTrail
Purpose	Monitor performance and metrics	Audit API calls and user activity
What it track	CPU, memory, logs, alarms	Who did what, when, and from where
Use Case	Ops monitoring and alerting	Security, compliance, and forensics

Both are essential. CloudWatch tells you something went wrong. CloudTrail tells you who caused it.

29. How best can you explain the AWS Well-Architected Framework?

It is the blueprint that AWS uses to develop reliable, efficient, safe, and cost-optimized cloud systems. Organized into 6 pillars:

• Operational Excellence – Run and monitor systems effectively
• Security — Safeguard data, systems, and assets
• Reliability — Auto Recovery from failures.
• Performance Efficiency — Make effective use of resources, scalable
• Cost Optimization — Reduce wasteful spending
• Sustainability — Minimize environmental impact.

All serious AWS interview questions eventually relate to one of these pillars.

30. What is a Sticky Session in AWS Load Balancer?

All the user's requests within a session are sent to the same target via sticky sessions (also called session affinity). AWS session sticky duration is defined by cookie: AWSELB. This gives the users a continuous experience.

AWS Scenario-Based Interview Questions and Answers

1. Tell me about a time you took ownership of a project with ambiguous requirements.

We were told: There is no clear scope, timeline, or even success criteria. Since the steps were not yet clear to me, I decided not to wait and organized multiple stakeholder meetings across data engineering, finance, and product. To determine requirements, I made notes of my assumptions, planned a phased approach in Glue & S3, and set up weekly stand-ups.

The first phase was finally put into operation two weeks early, and the costs of processing pipeline gas were cut 35%.

2. An S3 bucket containing sensitive data is publicly accessible. How would you secure it and prevent recurrence?

I would follow the following steps:

1. Remove public access by modifying the bucket policy and enabling the "Block Public Access" setting.
2. Use IAM roles and policies to grant granular access rights to only necessary users and applications.
3. Enable S3 server side encryption (SSE-S3/SSE-KMS)
4. Use AWS Config Rules to continuously monitor and alert if any bucket becomes public.
5. Use Amazon Macie to classify and protect sensitive data within S3.

3. Tell me about the most challenging technical problem you solved involving cloud infrastructure.

In a previous role, we were experiencing occasional, difficult-to-reproduce latency spikes in production. I owned this problem by setting up comprehensive CloudWatch dashboards and enabling X-Ray tracing across all microservices. By analyzing metrics and tracing, I identified that a specific RDS instance was getting connection exhausted during peak loads, so I implemented an ElastiCache tier and a read replica configuration for our RDS to reduce load.

As a result, average response times decreased by 60%, and we did not experience any further latency-related issues that quarter.

4. Your e-commerce app experiences massive traffic spikes during seasonal sales. How do you ensure it handles them without downtime?

In such a situation, I will implement Autoscaling Groups with scaling policies based on CPU utilization, request count, or target tracking. I would then use an Elastic Load Balancer to distribute traffic evenly across healthy instances.

Next, I would need to cache frequently accessed data using Amazon ElastiCache or CloudFront and ensure that databases can handle the load by using Aurora Serverless or read replicas.

5. How have you handled migrating an on-premises application to AWS with minimal downtime?

We had to migrate a legacy PostgreSQL database that served a customer-facing application and meet a 15-minute maximum downtime. To ensure the cloud database was always in sync with on-prem, I continuously replicated it to the cloud using AWS Database Migration Service for two weeks before the cutover. Data integrity was checked during each phase, and two practice cutovers were performed in a lower environment. 

On the actual cutover night, we updated the DNS record in Route 53 and switched over in less than 10 minutes, with no data loss.

6. A Lambda function is causing performance issues in production — how would you troubleshoot it?

• Before anything else, figure out what is slowing you down or triggering it (event/trigger).
• Look for errors in CloudWatch Logs and for execution durations in the metrics.
• Discuss Lambda memory allocation — memory directly takes control of CPU performance in Lambda
• Look for cold start problems – think about using provisioned concurrency for latency-sensitive functions
• Check for any external API or database calls made by the function for timeouts
• Follow the execution from end-to-end, and identify bottlenecks with AWS X-Ray.

7. How would you state the challenging factors while implementing AWS in real-world scenarios?

• Cost overruns due to under-optimized or over-provisioned resources
• Security misconfigurations in IAM policies, S3 bucket permissions, and VPC settings
• Difficulty managing multi-account environments at scale
• Data migration complexity when moving from on-premises systems to the cloud
• Lack of a proper monitoring and alerting strategy before going to production.

8. Why does AWS show poor performance in production at times, though it works fine in testing?

Common causes:

• Failure to load test: Test environments are not necessarily concurrent enough
• Resource contention at scale: CPU throttling, memory pressure, or database connection limits.
• Auto Scaling: Policies that are not configured to respond quickly enough to traffic surges.

Solutions:

• Run actual load testing, such as with AWS Load Testing Solution or Locust.
• Review and fine-tune Auto Scaling thresholds and cooldown periods
• Use ElastiCache for caching to relieve the database load
• Collectively, use CloudWatch dashboards and alarms to identify problems early, before they get out of hand.
• Check the VPC and security group setup for any unnecessary bottlenecks.

9. How would you handle a large data migration into AWS?

• Determine data volume, data source format, and AWS service to which you want to move the data (RDS, S3, DynamoDB, or Redshift).
• Minimize database downtime by leveraging AWS Database Migration Service (DMS) for live migrations.
• Transfer large amounts of data offline, greater than 10 TB, using AWS Snowball.
• Use checksums to ensure data integrity before/after migration.
• Run the migration in stages, test with a few, then roll out the rest.
• Track migrations with AWS DMS task logs and CloudWatch metrics.

10. What happens if there's an error in a CloudFormation template?

Should there be any error, resources in the stack may not be created or updated. To address this, we use the AWS CLI to identify the error within the template, validate the template and use change sets to check what changes will be deployed when we deploy the corrected template.

11. How would you design a multi-region, highly available application in AWS?

Global Accelerator and Route 53 latency routing between regions and data replication using DynamoDB Global Tables or Aurora Global Database. Then I would have to deploy the same stacks in each region using CloudFormation or Terraform.

An important point to keep in mind is that it is always important to begin our answer by stating the constraint, for example, "The business requires X, and the constraint is Y, so therefore I would design Z.

12. Your web app runs on EC2 in a single Availability Zone. The company wants it to be highly available and fault-tolerant. What changes would you make?

The first step would be to get the application running across multiple Availability Zones. Then I will create an Application Load Balancer (ALB) to distribute traffic across EC2 instances across AZs.

Next, you need to ensure Autoscaling Groups work by making sure instances are added or removed as traffic evolves. If a relational database is used in the application, I will deploy an RDS Multi-AZ setup once it is complete. 

Lastly, I would keep static assets in S3, use CloudFront as the CDN for performance.

13. Do you design a CI/CD pipeline on AWS?

The typical flow in an AWS pipeline is that you've got CodeCommit or GitHub as your source, CodeBuild for compilation, and then you run tests. Changes are pushed to EC2 or Lambda using CodeDeploy, and everything is orchestrated using CodePipeline. 

We have images stored in ECR for use with ECS or EKS on containers. The entire flow is as if it were an event: a commit initiates the pipeline, tests execute, artifacts are created, and deployment occurs without manual intervention. 

Here, it would be tested manually before going into production.

If the pipelines are more complex and production-ready, you can deploy the infrastructure with CloudFormation or CDK for automated changes and use blue-green or canary deployments in CodeDeploy to minimize risk.

Moreover, we can configure an auto-rollback if an alarm is triggered in CloudWatch. So if something deteriorates after the deployment, it self-corrects without any human interaction. 

Secrets Manager handles runtime credentials, so nothing sensitive is hardcoded. In fact, many teams are now using GitHub Actions or GitLab CI instead of CodePipeline and are therefore connecting to AWS via OIDC-federated IAM roles.

It's a much cleaner and more secure way to manage access keys than long-lived access keys.

14. How did you implement Disaster Recovery for your cloud application?

I have done this a couple of times during my release. We deployed a Pilot Light using RDS cross-region replicas, S3 CRR, and Terraform IaC. We also relied on Route 53 failover, achieving an RTO of 15 minutes and an RPO of 5 minutes, with quarterly game-day testing.

15. How do you secure your application on the cloud?

I can secure it through applying IAM least privilege, private VPC subnets, WAF, and KMS encryption everywhere. We can then monitor it with GuardDuty, CloudTrail, and Config. Store secrets in Secrets Manager and scan IaC.

16. Can you describe your experience with AWS AI services like Amazon SageMaker, Rekognition, or Textract in a real-world project?  

Certainly! Our team had built insurance automation while working with an insurance client. We had Textract-parsed PDFs. Rekognition Custom Labels could identify car damage, and SageMaker scored fraud risk. We also used A2I for human review on uncertain cases.

17. How do you design an end-to-end machine learning workflow on AWS, from data ingestion to model deployment and monitoring?

We can do that in the following steps:

• Ingest to S3/Glue
• Prep with Data Wrangler
• Train/deploy via SageMaker Pipelines.

Finally, Model Monitor detects drift and Lambda + Step Functions trigger automated retraining.

Well! These interview questions and answers must have enhanced your understanding of AWS.

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Frequently Asked Questions

1. Is learning AWS easy?

Absolutely, you can learn AWS over time. You can build a deeper understanding of networking, Linux, and databases, and that will make it easier to learn AWS concepts.

2. How long will it take to learn AWS?

The fundamental concepts of AWS can be mastered in 3–4 weeks. Post-training hands-on practice will make you a more proficient AWS professional faster.

3. What is the difference between AWS and Azure?

AWS is Amazon's most widely used cloud platform and the largest in the global market. Azure is Microsoft's cloud platform, and has seamless integration with other enterprise products, such as Office 365 and Active Directory. They are both hybrid-deployable, but AWS has a longer history and more developed tooling for DevOps and serverless workloads.

4. Which certifications can AWS professionals pursue?

• AWS Certified Cloud Practitioner — entry-level, foundational
• AWS Certified Solutions Architect – Associate (SAA-C03) — Most popular
• AWS Certified Developer – Associate
• AWS Certified DevOps Engineer – Professional.

5. Is it good to begin a career in AWS? 

Yes, absolutely. AWS professionals are in high demand across every industry. AWS engineers in India with 1–6 years of experience can earn between ₹8 LPA and ₹20 LPA, according to AmbitionBox. In the USA, they can earn between $110,000 and $175,000 annually, according to ZipRecruiter.

6. Can I get any learning materials for AWS?

MindMajix offers the following e-learning resources:

• AWS Tutorial
• AWS Interview Questions
• AWS Quizzes
• AWS Sample Resumes.

7. How do I become the best AWS professional?

• Build a deep understanding of core AWS services and architecture principles
• Stay current with AWS announcements and new service launches
• Pass at least one AWS certification exam
• Join the AWS community, Reddit r/aws, and local AWS User Groups to interact with peers and gain real-world insights.

AWS Interview Preparation Tips

1. Get comfortable with AWS fundamentals: Become proficient in the basics (EC2, S3, IAM, VPC, Lambda, RDS) before an interview.
2. Practice hands-on: Theoretical knowledge will not help you crack technical AWS interviews; make use of the AWS Free Tier and build and experiment regularly.
3. Be ready to walk through real-world scenarios: Interviewers will always want to know how you've seen things in practice; be ready to walk through architectural decisions, trade-offs, and troubleshooting.
4. Prepare for certification: Having an AWS certification (the AWS Solutions Architect Associate is the most widely known first step) is an added asset when interviewing.
5. Follow the AWS Blog, AWS re - Invent session recaps, and AWS What's New announcements to keep up-to-date on new services and features.

Skills Required to Become an AWS Professional

We will cover the basic and advanced skills that are needed by an AWS practitioner.

Primary Skills

• Basic AWS service experience, including EC2, S3, Lambda, VPC, IAM, RDS, and CloudWatch.
• Basic level development skills in AWS: EC2, S3, Lambda, VPC, IAM, RDS, CloudWatch (ILD).
• Provision, build, and administer services in the cloud (AWS), and offer security.
• Be familiar with the CI/CD automation pipeline.
• Have some experience with AWS CloudFormation and/or Terraform!.
• Understanding of containerization concepts and of Docker and Amazon ECS/EKS containerization.
• Understanding of DevOps practices, and of AWS's CI/CD pipeline (Code Pipeline, Code Deploy).

Secondary Skills

• Basic knowledge of networking concepts. This includes DNS, HTTP, TCP/IP, and load balancing.
• Understanding of database management, like understanding the concepts of relational databases and NoSQL databases, like DynamoDB.
• Understanding of cloud security principles and standards.
• This encompasses the responsibilities of an AWS Engineer.

Job Responsibilities of an AWS Engineer

Let's take a brief look at the job description for AWS engineers or AWS professionals working in cloud roles.

• Implement cloud services (AWS) provisioning, building, and administration.
• Create and maintain an automation pipeline for continuous integration and continuous delivery(CI/CD).
• Managed cloud system monitoring with CloudWatch and reacted when the cloud system performance was affected.
• Practicing IAM, VPC, and data encryption security best practices.
• Utilizing cloud resources effectively – selecting instance types and prices.
• Optimization of cloud costs and the right instance type and price model.
• Collaborate with developers for a resilient and scalable solution.
• Migrating cloud-based applications to on-premises infrastructure is hard.

Conclusion

Hope you have understood AWS to a great extent with these AWS Interview Questions and Answers. Further, the AWS developer skills and job preparation tips in this section should help you become interview-ready.

To know more about AWS, you can attend AWS Training by MindMajix. At the end of the training, you will be equipped with the knowledge and skills to confidently pass your AWS interview.