Amazon Web Services (AWS) and DevOps are the two most powerful practices for agile software development. Combining them creates a great solution for cloud-native applications and services known as AWS DevOps. More and more companies are moving to adopt AWS DevOps practices in their operations. Therefore, demand for AWS DevOps professionals is higher than ever in 2026. This is where you need to prepare for the best AWS DevOps interview questions.
This comprehensive interview guide compiles the most asked DevOps interview questions to help you ace your interview. It is curated for each level of individuals, from very beginners to advanced ones, ensuring they can demonstrate their expertise in AWS and DevOps practices. Then why wait? Let’s dive in.
The AWS DevOps interview questions and answers included here are directed to all levels - beginners to advanced. Both freshers and experienced professionals can also benefit from these questions and answers, which start from the basics and go on to advanced levels. The experts who get the most benefit are -
Related Articles: Roles and Responsibilities of DevOps Professionals
Let's start with some basic AWS DevOps interview questions. Exploring these will give you fundamental knowledge of this platform. These questions include basic concepts like Lambda, RDS and microservices.
It is a cloud platform by Amazon that facilitates the user in carrying out DevOps practices with ease. It offers a bunch of amazing tools that help in the automation of manual tasks. Thus, aiding engineers to work efficiently and teams to manage complex environments.
There are plenty of reasons why AWS is being used extensively for DevOps.
AWS Lambda refers to a computation service. It is extensively used by users to run code without managing or provisioning the servers explicitly. No prior integration is needed to run any strip of code for a service or an application.
AWS RDS is the acronym for Relational Database Service and is a service. This service benefits users by setting up an RD in the cloud architecture. Setting up, using and maintaining the DB online becomes easier with RDS.
A build project is an entity with the key function of integrating with CodeBuild. This gives the necessary definition.
Microservices are an organizational and architectural approach to the process of software development. The software here comprises small, independent services that are able to communicate with one another over well-defined APIs. Small, self-contained teams own these services.
Microservices provide various benefits like-
Containers communicate with one another in Kubernetes in three ways -
Some of the top cloud security best practices every organization must implement are -
| BASIS | CLOUDFORMATION | TERRAFORM |
| Code Syntax | JSON/ YAML | HCL |
| Ease of Use | It is confined to only Amazon Web Services. | It has a large base across various cloud service providers. These include Google Cloud Platform, AWS, Azure, etc. |
| Cost | It is free but users have to pay the cost of services that are provisioned by CloudFormation. | It is completely free and open source. There is a paid version available. |
| Management | The state files here are managed by AWS. Thus, the engineers are not worried about these state files being corrupt. | The state files are managed by the engineers, who are responsible for ensuring these do not get corrupted. |
CloudWatch is an observability and monitoring service that gives information and valuable insights for AWS and other cloud platforms. This service tracks and collects metrics, sets alarms, monitors log files, and automatically gives responses to resource changes. It manages system performance, optimizes resource usage and responds to issues quickly.
Patterns are common practices or their combination that is followed by companies. It is a continuous and trusted process for the companies. An anti-pattern occurs when a company blindly copies the patterns of other companies that do not benefit them at all. There might be many reasons for this issue like lack of experts, knowledge, etc.
CloudTrail is implemented for many applications, including -
Read Also- AWS DevOps Tutorial
Now let's move to some advanced practices and tools of this platform. Here are some intermediate AWS DevOps interview questions. These are suitable for individuals who have some experience in this field. This knowledge boosts their career and salary package. They can earn up to $106,197 per annum with this opportunity.
Everything as Code is a DevOps principle and an extension of the Infrastructure as Code concept. This principle applies to many characteristics of development and operations. This includes dealing with configuration, security practices and documentation as code. It gives automated testing, version control and continuous deployment in all conditions of your system. It is supported by -
Viewing prior build results in CodeBuild is quite easy. We can either make use of the API or the console to do it. The result we receive will include-
AWS Systems Manager is a service that provides centralized visibility and control of resources. This enables experts to manage and operate them at scale including EC2 instances, on-premises servers and hybrid environments. It also offers various features to automate common operational tasks, such as patching, software updates and configuration management, across groups of instances.
AMI or Amazon Machine Image is a maintained and supported image offered by AWS. It provides all the necessary information for launching an instance. The user has to specify the AMI when launching an instance. If the user requires various instances having the same configuration, then multiple instances can be launched from a single AMI.
Pod is a simple entity that is used to map between containers in Kubernetes. Each of these pods can consist of one or more containers at a time. These pods have a flat network hierarchy that facilitates straightforward communication between these pods in the overlay network.
CodePipeline is another service of this platform. It manages continuous delivery to automate release pipelines. This gives reliable and fast application and infrastructure updates. The entire process is automated. Companies can achieve rapid and reliable delivery of updates with this service.
It is a management service for automating different operations. These operations are creating system images, collecting software inventory, applying OS patches and configuring OS. It provides a combined user interface for visualizing operational information from different Amazon Web Services.
I have used many branching techniques, but the ones that I've found to be the best are -
It is a DevOps practice for improving performance, security and many other aspects of operations. For instance, security checking is a must practice before deploying a DevOps operation. This security check is performed by using the shift left method. This method detects faults before it occur, which raises the security level.
It is one of the deployment methods of this platform. This method gives continuous deployment with reduced downtime. Transferring the traffic from one instance to another is possible with this method.
It can also be used for upgrading existing code with new versions. Here, the old one resides in blue while its replacement resides in green. A new instance from old code will be generated after switching versions.
Continuous testing is a software development practice characterized by automated program testing at each phase of the SDLC. The aim is to increase software quality and efficiency by giving instantaneous feedback on errors for developers. This results in increased productivity for them.
Both of these are deployment services of this platform.
Read Also- How To Become an AWS DevOps Engineer
Here are some AWS DevOps interview questions for experienced individuals. These include in-depth knowledge of automation testing, CI/CD and some other topics. All senior experts can benefit from these questions to prepare for higher-level positions.
| Factors | Continuous Deployment | Continuous Delivery |
| Automation | Automates the entire process of transferring code changes through automated tests directly to production. | Automates the process of delivering code changes to a production-like environment, ready for deployment. |
| Goal | Achieve a highly efficient and reliable software development and deployment process with rapid releases. | Ensure safe and reliable delivery of code to production, with a human approval step. |
| Focus | Speed and immediate delivery of changes to users. | Stability, controlled releases, and reduced risk through validation. |
| Testing | Requires a robust automated testing suite to guarantee code quality before production deployment. | Relies on automated testing to validate changes in a production-like environment, but deployment to production requires manual approval. |
| Monitoring | Necessitates a sophisticated monitoring environment to detect and address issues as there's no manual approval stage. | Still benefits from monitoring, but the manual approval step provides an additional layer of control. |
| Deployment | Code changes are automatically deployed to production without human intervention after passing tests. | Code changes are automatically prepared for deployment, but require explicit human approval to go live. |
VPC peering is a network relationship among different Virtual Private Clouds. It facilitates the traffic routine between them by using private IP addresses. Here VPCs communicate with each other as they are on the same network.
IAM (AWS Identity and Access Management) users are CodeStar users. CodeStar gives role-based access control rules for the development environment. They get IAM's administrative advantages as both users are the same. The IAM global account guidelines affect users when they are added to a CodeStar project.
Amazon ECS is a fully managed container service for creating, managing and running gigantic Docker containers. This service works with Amazon Route 53, IAM and Amazon CloudWatch. Anyone can plan, arrange and run batch processing tasks with any Amazon Web Service.
Infrastructure as Code is a fundamental practice of DevOps for managing the overall infrastructure. It is achieved with programming and software development techniques. This process includes everything from CI to VCS. The API model of the cloud then benefits developers while working on the entire infrastructure.
The dogpile effect usually occurs when gigantic parallel computing systems employ caching strategies with significantly high load. We also know this effect as cache stampede. Multiple cache expires or invalidates and different requests hit the website at the same instance during this event.
It is dealt with by a common approach where semaphore locks are employed in the cache. These locks create a new value for cache when it expires, which ultimately removes the reason for this event.
Canary deployment strategy minimizes the effect of potential bugs in a new app release and update. It deploys apps or updates between a few individuals before covering a large audience. Here, they can find and resolve bugs with their feedback.
Load balancer or router targets single routes with the new update for developers. They collect feedback from users to assess the performance of updates. This feedback is later used to decide whether the update is ready to be deployed worldwide or not.
CloudFront is a CDN (content delivery network) service for accelerating the transfer of dynamic and static web content. This service traders' information on a large scale with edge location networks. This minimizes latency and improves the overall performance of web apps.
CloudTrail logs API calls to give an audit trail of tasks performed in an Amazon Web Services account for compliance monitoring and security analysis. This monitors changes, tracks user activity and gives a secure environment.
It is a business analytics service by AWS. We can use it in building visualizations, performing analysis and driving business insights from the results. It can also manage and monitor CI/CD metrics for business intelligence.
There are many challenges that occur in this process. Most of them are easy to neglect. The one thing that I find challenging is data migration and the implementation of new features. Failure in data migration can cause system instability, which can lead to major issues in the pipeline. Although we can avoid it within the CI environment by using a feature flag.
| Feature | AWS Elastic Beanstalk | AWS CloudFormation |
| Service Type | Platform as a Service (PaaS) | Infrastructure as Code (IaC) |
| Primary Focus | Application deployment and management | Infrastructure provisioning and management |
| Abstraction Level | High-level (abstracts infrastructure) | Low-level (granular control) |
| User Target | Developers | Infrastructure/Operations teams |
| Control | Less control, more automation | More control, more configuration |
| Complexity | Relatively simple | More complex |
| Deployment Scope | Web applications and services | Any AWS resource |
| Configuration Method | Application code upload, environment configuration | JSON or YAML templates |
| Use Cases | Quickly deploying and scaling web applications | Automating complex infrastructure deployments |
| Key Benefit | Simplified application management | Precise infrastructure control and automation |
| Relationship | Can be used in conjunction - CloudFormation can create the infrastructure, and Elastic Beanstalk deploys it. | N/A |
Related Article- How To Learn DevOps in 2026?
DevOps engineers usually get rewarding salary packages. They earn up to $118k to $175k per annum. Let's move to some AWS DevOps engineer interview questions. These questions revolve around the most important concepts of this platform. This information will equip you with the skills required to get a DevOps engineer position.
Companies throughout the globe are benefiting greatly as they use Amazon Web Services for DevOps. Here are some of the reasons why every leading company or a company that wants to be a leading name is going for it -
The future is Cloud: The entire world is in for a joyous ride because cloud computing is bound to become a lot bigger than it is today. A good certification will take you a long way.
It is a computation service that facilitates the user to run their code, but without the need to manage or provision servers explicitly. No prior integration is needed to run code for their services or applications.
Post-mortem meetings are scheduled when something goes wrong while adopting the DevOps methodology. This meeting is a must for every company to understand its shortcomings. Here, they built strategies and steps required to avoid such failures in the future.
Docker will be an ideal option to build and run an isolated app environment. It can develop and deploy software. This tool packs an application within a lightweight container alongside its dependencies. This container then executes it in a guaranteed and repeated runtime environment. Vagrant will be better for virtual machine management.
Pair programming is a fundamental engineering practice where two developers work on the same system, design and code. They follow a unique rule called extreme programming. Here, one of them will be the driver and the other will be the observer. The driver develops the project and the observer monitors their progress and finds bottlenecks.
Session affinity is a load-balancing technique that requires an assigned machine to give a user session. We also know it as the sticky session. Session data has to be available for all machines after the user data is stored in a load balancer server. We can also use continuous serving if session data is not available.
SSL termination is a process of decrypting encrypted SSL/TLS traffic at a load balancer instead of the backend application servers. This means the load balancer handles the encryption and decryption of SSL/TLS traffic. As a result, backend servers will no longer have this processing burden.
We can use AWS Service Catalog for standardizing DevOps practices by -
I will use the following best practices to implement high availability and disaster recovery -
To implement a microservices architecture on this platform, I will use a combination of compute, container orchestration, networking and API gateway services. Key services include -
I have used the following deployment strategies -
Here is the program you can write or explain-
|
import requests repo_url = "https://api.github.com/repos/openai/triton" response = requests.get(repo_url) if response.status_code == 200: data = response.json() print(f"Repository: {data['full_name']}") print(f"Description: {data['description']}") print(f"Stars: {data['stargazers_count']}") else: print("Error fetching repository information.") |
Use the below code-
|
terraform { required_providers { aws = { source = "hashicorp/aws" version = "~> 5.0" } } required_version = ">= 1.0" } provider "aws" { region = "us-west-2" } resource "aws_s3_bucket" "bucket" { bucket = "my-unique-bucket-name-12345" # Must be globally unique acl = "private" } |
Use the script below-
|
pipeline { agent any environment { DOCKER_IMAGE = 'myapp:latest' DEPLOYMENT_NAME = 'my-deployment' } stages { stage('Build') { steps { sh 'docker build -t ${DOCKER_IMAGE} .' } } stage('Push') { steps { withCredentials([usernamePassword( credentialsId: 'docker_registry', usernameVariable: 'DOCKER_USER', passwordVariable: 'DOCKER_PASS' )]) { sh ''' echo "${DOCKER_PASS}" | docker login -u "${DOCKER_USER}" --password-stdin registry.example.com docker tag ${DOCKER_IMAGE} registry.example.com/${DOCKER_IMAGE} docker push registry.example.com/${DOCKER_IMAGE} ''' } } } stage('Deploy') { steps { withCredentials([string( credentialsId: 'kubeconfig', variable: 'KUBECONFIG_CONTENT' )]) { sh ''' echo "${KUBECONFIG_CONTENT}" > kubeconfig.yaml export KUBECONFIG=kubeconfig.yaml kubectl set image deployment/${DEPLOYMENT_NAME} ${DEPLOYMENT_NAME}=registry.example.com/${DOCKER_IMAGE} ''' } } } } post { always { sh 'rm -f kubeconfig.yaml' } } } |
The modern DevOps Engineer is increasingly expected to manage pipelines for data, machine learning models and Generative AI applications. Here are some questions covering the latest services and architectural patterns critical for senior roles.
You can use Amazon SageMaker JumpStart for quick deployment of foundational models. For production management, wrap the model in a container and deploy it using highly available SageMaker Endpoints for real-time inference. Ensure security using IAM Roles and VPC Endpoints for secure communication.
X-Ray is the native AWS distributed tracing service. ADOT is an AWS-supported distribution of the open-source OpenTelemetry (OTel) project. ADOT is now the preferred enterprise standard as it offers vendor-agnostic instrumentation. This enables portability to other monitoring tools and aligns with industry open standards.
The pipeline involves AWS Glue for data preparation, SageMaker Training Jobs for model training (often using Spot Instances for cost), SageMaker Model Registry for versioning and approval, and SageMaker Endpoints for deployment. The entire workflow is orchestrated using AWS Step Functions.
For high-throughput, real-time data streaming, Amazon Kinesis Data Streams or Amazon Managed Streaming for Apache Kafka (MSK) replaces simple queues like SQS. These services allow multiple consumers to process the same stream concurrently and support complex stream processing for enterprise analytics.
Implement a Multi-Region Architecture (Active-Active or Pilot Light). Use Amazon Route 53 Geoproximity Routing for intelligent traffic failover. Utilize AWS CloudFormation StackSets to quickly provision identical infrastructure stacks in the secondary DR region, complemented by AWS Backup for centralized data recovery.
Clearing an AWS DevOps interview requires a thorough understanding of each concept and service. The interview questions in this article include all of them. However, you also need to consider some key points apart from the technical knowledge. Here are some tips that can help you excel in your interview:
There are many different demanding skills, including IaC, security automation, advanced CI/CD, and more. Some additional skills like problem-solving, leadership and a strong understanding of cloud architecture are also important.
AWS certifications are a valuable asset for the holders. It determines their commitment and capability in using Amazon Web Services. In fact, interviewees always prefer certified experts over others.
It depends on your skill level. If you have already mastered the required skills, then this guide can help you to success. If you are a beginner, then you have to use some additional materials like tutorials, online courses, etc.
The AWS Certified DevOps Engineer - Professional certification is the best option to become an expert in this area. It is actually designed to prove an individual's skills in this area.
AWS DevOps involves both coding and non-coding tasks. Basic scripting and automation knowledge are helpful but many tools also provide low-code configuration options.
Q1. What is the primary purpose of AWS CodePipeline in DevOps workflows?
Q2. Which AWS service supports serverless CI/CD pipelines in 2025?
Q3. What is a key feature of AWS Jam for DevOps training in 2025?
Q4. How does AWS EKS enhance container orchestration in 2025?
Q5. What is the role of Terraform in AWS DevOps workflows?
Q6. Which tool integrates with AWS for AI-driven observability in 2025?
Q7. What is a benefit of using AWS CodeBuild with Terraform?
Q8. How does GitOps enhance AWS DevOps in 2025?
Q9. What is the purpose of AWS's Well-Architected Framework?
Q10. Which AWS service secures Terraform state files in DevOps workflows?
This guide has delivered most of the frequently asked interview questions. These are best for those who want to start or boost their career in this field. It not only prepares you to answer but also gives a complete understanding of the DevOps practices. Start the preparation now, as the future awaits with new job opportunities.
Course Schedule
| Course Name | Batch Type | Details |
| AWS DevOps Training | Every Weekdays | View Details |
| AWS DevOps Training | Every Weekend | View Details |
