On the path of getting a job as an AWS DevOps Engineer Professional, the interview session is quite a challenge! The candidate should ace the interview like a pro! For making this possible, we are here with the AWS DevOps Engineer Professional Interview Questions. This article will include the important and highly possible appearing interview questions for getting a job as an AWS DevOps Engineer Professional.
So let’s get started:
What is the purpose of Amazon S3?
Amazon S3 (Simple Storage Service) is an object storage service provided by Amazon Web Services (AWS) that allows users to store, retrieve, and manage their data in a highly scalable and durable manner. The purpose of S3 is to provide a highly available, durable, and scalable data storage infrastructure for hosting a variety of data, including documents, images, backups, and more. S3 provides various features like versioning, lifecycle policies, access control, and others to help users manage their data in an organized and secure manner.
How does AWS CloudFormation work?
AWS CloudFormation is a service that helps you model and set up your Amazon Web Services (AWS) resources so you can spend less time managing those resources and more time focusing on your applications that run in AWS.
CloudFormation works by defining your infrastructure as code in a template. The template describes the AWS resources that you want to create and the dependencies between them. When you use CloudFormation, it provisions the defined resources in a specific order and tracks changes made to those resources over time.
You can create, modify, and delete a collection of resources by creating, updating, and deleting stacks. A stack is a collection of AWS resources that you can manage as a single unit. You can use CloudFormation to automate the process of creating and updating your infrastructure, which makes it easier to experiment with new configurations and roll out changes more quickly and confidently.
Can you explain the difference between EC2 and Elastic Beanstalk?
Amazon Elastic Compute Cloud (EC2) and Amazon Elastic Beanstalk are both services provided by Amazon Web Services (AWS) for deploying and running applications. However, they serve different purposes and have different levels of abstraction.
EC2 is a scalable computing service that allows you to launch virtual servers in the cloud. You have complete control over the configuration of the instances and the operating system. This gives you the flexibility to install and configure your own software, but also requires you to manage the underlying infrastructure.
On the other hand, Elastic Beanstalk is a fully managed service that simplifies the process of deploying and running applications in the cloud. It abstracts away much of the underlying infrastructure, so you don’t have to worry about the details of setting up and managing the servers. Instead, you just upload your application code and Elastic Beanstalk takes care of the deployment, monitoring, and scaling of the instances for you.
In summary, EC2 is a lower-level computing service that provides more control over the infrastructure, while Elastic Beanstalk is a higher-level service that provides a more simplified deployment and management experience.
What is Amazon Elastic Container Service (ECS)?
Amazon Elastic Container Service (ECS) is a fully managed container orchestration service provided by Amazon Web Services (AWS). It allows you to run, manage, and scale Docker containers on the AWS Cloud.
With ECS, you can launch and stop Docker-enabled applications with simple API calls, or use the AWS Management Console to get started with just a few clicks. ECS automatically manages the scheduling and deployment of containers, including scaling the number of containers in response to demand.
ECS also integrates with other AWS services, such as Amazon Elastic Load Balancer and Amazon RDS, to provide a complete solution for deploying containerized applications. By using ECS, you can focus on writing your application code, while the service handles the management and scaling of the underlying infrastructure.
In short, ECS provides a high-level, managed service for running and scaling Docker containers on AWS, helping you to simplify the process of deploying and managing containerized applications in the cloud.
How would you go about securing an AWS environment?
Securing an AWS environment involves implementing multiple layers of security to protect your resources and data from unauthorized access and potential security threats. Here are some common steps to secure an AWS environment:
- Use IAM (Identity and Access Management) to manage access to AWS resources: Create unique IAM users for each person who needs access to AWS and define the least privilege necessary for each user.
- Enable multi-factor authentication (MFA) for privileged users: Requiring MFA adds an extra layer of security to your AWS environment by requiring users to provide two forms of authentication before they can access AWS resources.
- Use security groups and network access control lists (ACLs) to control inbound and outbound traffic to your instances: This helps to limit access to your instances and resources to only authorized sources.
- Encrypt sensitive data at rest and in transit: Use encryption for data storage and transmission to protect sensitive data from unauthorized access.
- Regularly monitor your AWS environment for security threats: Use Amazon CloudWatch and Amazon GuardDuty to monitor for potential security issues and receive alerts if any are detected.
- Use AWS security services such as Amazon Detective and Amazon Macie to automatically discover, classify, and protect sensitive data: These services help you monitor and secure your environment by automatically discovering and alerting on potential security risks.
- Regularly backup and disaster recovery plan: Implement regular backups of your data and have a disaster recovery plan in place to ensure your data can be recovered in the event of a disaster or outage.
This list is not exhaustive, and the specific security measures you need to implement will depend on your specific use case and requirements. However, these steps can serve as a good starting point to help you secure your AWS environment.
What is the purpose of Amazon CloudWatch?
Amazon CloudWatch is a monitoring service provided by Amazon Web Services (AWS) for monitoring AWS resources and the applications that run on the AWS Cloud.
The purpose of Amazon CloudWatch is to help you gain visibility into your resources and applications, and to monitor and diagnose any issues that may arise. It provides a single location to view metrics, set alarms, and track logs from your AWS resources and applications.
With CloudWatch, you can monitor various resources such as EC2 instances, RDS databases, and other AWS services, as well as custom metrics generated by your own applications. You can also use CloudWatch to set alarms that will notify you when certain metric thresholds are breached, and to store and access log data generated by your applications and AWS resources.
In summary, Amazon CloudWatch provides a centralized and automated way to monitor and manage the performance, availability, and overall health of your AWS resources and applications, helping you to ensure that they are operating optimally and resolve any issues quickly.
Can you describe the steps to set up a continuous delivery pipeline on AWS?
here is a general outline of the steps to set up a continuous delivery pipeline on AWS:
- Set up an AWS account and create a project workspace.
- Create a source code repository, such as GitHub or Bitbucket, and configure it with AWS.
- Create an AWS CodeCommit repository to store the application code.
- Set up AWS CodeBuild to compile the code and run tests.
- Create an AWS CodeDeploy application to deploy the application to the desired environment.
- Set up AWS CodePipeline to automate the release process.
- Connect the source code repository, CodeBuild, CodeDeploy, and CodePipeline.
- Test the pipeline by making changes to the source code and verifying that the changes are automatically built, tested, and deployed to the environment.
- Configure any necessary environment variables, such as database connections, in CodeDeploy.
- Monitor the pipeline and application logs to troubleshoot any issues.
What is the difference between Amazon SNS and Amazon SQS?
Amazon Simple Notification Service (SNS) and Amazon Simple Queue Service (SQS) are both messaging services provided by Amazon Web Services (AWS), but they have different use cases and features.
SNS is a pub/sub (publish/subscribe) messaging service that enables you to broadcast messages to multiple subscribers, such as email addresses, SMS recipients, or other AWS services. SNS is designed to handle event-driven architecture, allowing you to send messages to multiple subscribers in parallel.
SQS, on the other hand, is a message queue service that enables you to transmit messages between applications. It is designed to handle asynchronous workflows and decouple components of a distributed application, so that each component can scale and evolve independently. In SQS, messages are stored in queues, and each message is processed by exactly one consumer.
In summary, SNS is well suited for broadcasting messages to multiple consumers, while SQS is designed for transmitting messages between applications in a loosely coupled manner.Regenerate response
What is an Amazon Machine Image (AMI)?
An Amazon Machine Image (AMI) is a pre-configured virtual machine image, used to create an instance in the Amazon Elastic Compute Cloud (EC2). An AMI contains all the information necessary to launch an instance, including the operating system, application server, and any additional software needed to run the application.
An AMI can be thought of as a blueprint or a template for an EC2 instance, allowing you to quickly and easily create new instances with the same configuration. You can create your own AMI by customizing an existing one or by creating a new one from scratch. Additionally, you can also choose from a wide range of public AMIs provided by AWS and its partners, which include popular operating systems, application servers, and databases.
By using AMIs, you can save time and effort in setting up and configuring new instances, as well as standardize your infrastructure and ensure consistency across your instances.
Can you describe how to automate scaling in AWS?
Scaling in AWS can be automated using a combination of AWS services, including Amazon EC2 Auto Scaling, Amazon CloudWatch, and Amazon Elastic Load Balancer (ELB). Here are the general steps to automate scaling in AWS:
- Create an Amazon EC2 Auto Scaling group: An Auto Scaling group contains a set of Amazon EC2 instances that are created and managed automatically based on specified conditions.
- Define scaling policies: Scaling policies determine when the number of instances in the Auto Scaling group should increase or decrease. These policies can be based on CloudWatch metrics, such as CPU utilization or network traffic.
- Set up CloudWatch Alarms: CloudWatch Alarms monitor the specified metrics and trigger the scaling policies when certain thresholds are met.
- Optionally, configure Amazon ELB: If you have a web application that is receiving traffic from users, you can use ELB to distribute incoming traffic across the instances in your Auto Scaling group.
- Launch instances: The Auto Scaling group will launch instances according to your scaling policies, ensuring that you always have the desired number of instances running.
- Monitor the environment: Use CloudWatch to monitor the performance of your instances and to track the effectiveness of your scaling policies. You can also use CloudWatch to receive notifications when instances are launched or terminated.
Answer: DevOps is a newly developing term in the IT field, which is nothing but a practice that highlights the collaboration and interaction of both software developers and the deployment(operations) team. It concentrates on delivering software products quicker and reducing the failure rate of releases.
Name some cloud platform that is practiced for DevOps Implementation.
Answer: Cloud computing platform utilized for DevOps implementation are:
- Amazon Web Services
- Google Cloud
- Microsoft Azure
What do you understand by DevOps in Amazon Web Services?
Answer: AWS, the cloud-based service by Amazon, typically provides es services that can help in exercising DevOps in the organizational context. The DevOps devices play an essential role as they help in maintaining complex environments at scale. Apart from this, AWS empowers engineers to have precise control of high velocity.
Explain Microservices in AWS DevOps.
Answer: Microservices structure is a design method used for developing a single application as a suite of small services. Every service operates in its individual process. Apart from this, it interacts with other services by a well-established interface employing a lightweight mechanism. Commonly, an HTTP-based application programming interface (API) is practiced.
Name some technical advantages of DevOps.
Answer: The technical advantages of DevOps are:
- Constant software delivery
- Light complex problems to accomplish
- Quick detection and more immovable correction of defects
Is there any need for DevOps?
Answer: Organizations require DevOps as it serves to get quick feedback from customers and update the quality of software. The center claims fulfilled by DevOps incorporate advancing deployment frequency and reducing the lead time among fixes. Apart from this, it supports reduces the failure rate correlating to new releases. Thus the precise implementation of the idea can assist a firm to sail towards the goal.
How can DevOps be helpful to developers?
Answer: DevOps can be accommodating to developers to fix the bug and execute new features instantly. It also serves for more precise communication between the team members.
Why is AWS DevOps essential nowadays?
Answer: With businesses evolving every day and the enlargement of the world of the Internet, everything from entertainment to banking has been estimated to the clouds.
Most utmost of the companies is using systems entirely hosted on clouds, which can be used via a variety of devices. All of the methods included in this such as communication, logistics, operations, and even automation have been balanced online. AWS DevOps is essential in helping developers modify the way they can develop and deliver new software in the quickest and most efficient way attainable.
Explain some different phases in DevOps.
Answer: The several phases of the DevOps lifecycle are as follows:
- Plan – Originally, there should be a plan for the kind of application that requires to be developed. Getting an unpolished picture of the development method is always a good idea.
- Code – The application is coded as per the end-user demands.
- Build – Create the application by combining different codes created in the previous steps.
- Test – This is the crucial step of application advancement. Test the application and rebuild, if required.
- Integrate – Various codes from distinctive programmers are integrated into one.
- Deploy – Code is expanded into a cloud environment for additional usage. It is guaranteed that any new changes do not influence the functioning of a high-traffic website.
- Operate – Operations are done on the code if needed.
- Monitor – Application performance is observed. Adjustments are made to meet the end-user demands.
Define CodePipeline in AWS DevOps.
Answer: CodePipeline is a service administered by AWS to give continuous integration and constant delivery services. Besides this, it has provisions for infrastructure updates as well.
Operations like developing, testing, and deploying after every single build become very comfortable with the set release model protocols that are determined by a user. CodePipeline assures that you can certainly pass new software updates and features quickly.
Describe the purpose of configuration management in DevOps.
- Answer: It facilitates the management of and adapts to multiple systems.
- Regulates resource configurations, which in turn, maintain IT infrastructure.
- It assists with the administration and management of various servers and preserves the sincerity of the entire infrastructure.
What do you understand by Continuous Delivery (CD) in AWS DevOps?
Answer: Continuous Delivery is a software development system where codes are created automatically. Also, the testing and the development of these codes are made for their deliverance to production. In other words, CD increases upon the CI theory by deploying all the code changes to the testing and/or production conditions. This is done after the build stage.
Mention any best methods which should be supplanted for DevOps success.
Answer: Some important practices for DevOps implementation are:
- The pace of delivery meaning time necessitated for any duty to get them into the production background.
- Trace how many bugs are found.
- It’s necessary to estimate the original or the average time that it demands to recover in case of a breakdown in the production environment.
- The number of bugs being described by the customer also impacts the character of the application.
What do you understand by source branch and release branch?
Answer: As completed by this Quick Start, the deployment of the CD/CI pipeline for AWS CloudFormation templates requires two parts in the GitHub repository: a source and a release branch. The source branch is active utilized for development and requires to be examined for any code changes. On the other hand, the release branch includes the stable code that has been examined favorably and is available to deploy.
What are the three stages of CI/CD pipeline?
Answer: The CI/CD pipeline contains the following mentioned three stages:
- Source stage. When a commit is assembled into the source branch, it usually triggers the CI/CD pipeline. In the source stage of the pipeline, the whole contents of the GitHub repository are extracted, zipped, and collected in an S3 bucket. The triumphant fulfillment of the source stage triggers the build/test stage.
- Build/test stage. CodeBuild builds a Linux container, establishes TaskCat and its dependencies in the container, downloads the zipped file that includes the source code from the S3 bucket, unwraps it, and encompasses tests using TaskCat. When the tests are performed, the report produced by TaskCat is uploaded to the S3 bucket. If the tests are thriving, the deploy stage is triggered. Unless the build is considered as failed.
- Deploy stage. CodePipeline drives a Lambda function that blends the source branch of the GitHub repository into the release branch. The code is forthwith ready to expand from the GitHub repository.
Explain Git stash.
Answer: A developer operating with a contemporary branch desires to switch to a different branch to work on something else, but the developer doesn’t want to perpetrate changes to your incomplete work. The answer to this issue is Git stash. Git stash takes your adjusted tracked files and accumulates them on a stack of incomplete changes that you can reapply at any time.
Name some significant network monitoring appliances.
Answer: Some prominent network monitoring appliances are:
- Icinga 2
Define EBS in AWS DevOps.
Answer: Elastic Block Storage or EBS is a pragmatic storage area network in AWS. EBS identifies the block-level volumes of storage, which are employed in the EC2 situations. EBS is extremely cooperative with other situations and is a secure way of storing data.
What do you understand by Amazon Machine Image?
Answer: AMI, which stands for Amazon Machine Image, is a snap of the root file system. It includes all of the information required to originate a server in the cloud. It contains all of the permissions and templates required to dominate the cloud accounts.
What is Infrastructure as Code (IaC)?
Answer: Infrastructure as Code or IaC is a general DevOps system in which the code and the software development methods assist in maintaining the overall foundation, everything from constant synthesis to the version control system. The API design in the cloud additionally assists developers to work with the whole of the foundation programmatically.
How can one create a hybrid cloud?
Answer: A hybrid cloud points to the cloud computing setting that applies a mix of public cloud and private cloud. There are various ways of creating a hybrid cloud. A conventional way of creating a hybrid cloud is to build a Virtual Private Network (VPN) tunnel within the cloud VPN and the on-premise network.
Define Virtual Private Cloud.
Answer: A VPC or Virtual Private Cloud is a virtual network devoted especially to an individual’s AWS account. The user can configure or build his or her VPC as per the precise necessities. The obligations could be to choose a region, configure a roué table, create subnets, security groups, etc. Amazon VPC serves as the networking floor for the AWS infrastructure.
What programming structures can be practiced with AWS CodeBuild?
Answer: AWS CodeBuild gives ready-made environments for Ruby, Python, Java, Android, Docker, Node.js, and Go. The custom framework can also be set up by initializing and building a Docker image. This is then bootlegged to the EC2 registry or the DockerHub registry. Next, this is applied to reference the image in the users’ build project.
Name some of the most widespread DevOps tools.
Answer: The popular DevOps tools are:Selenium
How can one manage continuous integration and deployment in AWS DevOps?
Answer: One must use AWS Developer devices to help get started with saving and versioning an application’s source code. This is accompanied by using the services to automatically create, test, and deploy the application to a local environment or to AWS occurrences.
First, it is advantageous, to begin with, the CodePipeline to build the constant integration and deployment services and next on using CodeBuild and CodeDeploy as per requirement.
Explain Code Commit in AWS DevOps.
Answer: AWS Code Commit applies to a ‘fully managed’ reference control service. It does it easier for companies to treat secure as well as remarkably scalable private Git repositories. Code Commit can reduce the demand for managing one’s own source control system.
Discuss the difference between orchestration and classic automation.
Answer: Classic automation includes the computerization of software installation as well as system arrangements like user creation and security baselining. On the other hand, the orchestration method concentrates on the connection as well as the communication of existing and attempted services.
Name some challenges that arise while creating a DevOps pipeline.
Answer: There are plenty of challenges that happen with DevOps in this age of technological outburst. Most usually, it has to do with data migration procedures and implementing new innovations efficiently. If data migration does not operate, then the system can be in an uncertain state, and this can commence problems down the pipeline.
Though, this can be solved within the CI context only by producing the use of a feature flag, which assists in incremental product deliverance. This, besides the rollback functionality, can assist in mitigating some of the difficulties.
What is the Resilience Test?
Answer: Test that assures recovery without functionality and data loss after a failure is known as Resiliency tests.
Can CodeBuild be practiced with Jenkins in AWS DevOps?
Answer: Yes, AWS CodeBuild can combine with Jenkins efficiently to implement and drive jobs in Jenkins. Build jobs are strained to CodeBuild and performed, thereby reducing the entire procedure included in creating and independently dominating the worker connections in Jenkins.
What is the role of DevOps Engineer?
Answer: A DevOps Engineer is accountable for overseeing the IT infrastructure of an association based on the direct obligation of the software code in an atmosphere that is both hybrid and multi-faceted.
Provisioning and creating proper deployment models, besides validation and execution monitoring, are the key duties of a DevOps Engineer.
Which scripting language is important for a DevOps engineer professional?
Answer: A simple scripting language will be much better for a DevOps engineer. Python seems to be highly popular.
Do you have any kind of certification to expand your opportunities as an AWS DevOps Engineer?
Answer: Usually, interviewers look for applicants who are solemn about improving their career options by producing the use of further tools like certifications. Certificates are obvious proof that the candidate has put in all attempts to learn new abilities, comprehend them, and put them into use at the most excellent of their capacity. Insert the certifications, if you have any, and do hearsay about them in brief, describing what you learned from the programs and how they’ve been important to you so far.
Do you have any prior experience serving in an identical industry like ours?
Answer: Here comes an outspoken question. It aims to evaluate if you have the industry-specific abilities that are required for the contemporary role. Even if you do not hold all of the skills and experience, make certain to completely describe how you can still make utilization of the skills and knowledge you’ve accomplished in the past to serve the company.
Why are you preparing for the AWS DevOps position in our company specifically?
Answer: By this question, the interviewer is attempting to see how well you can influence them concerning your knowledge in the subject, managing all the cloud services, besides the requirement for practicing structured DevOps methodologies and computing to the clouds. It is always an advantage to already know the job specification in particular, along with the return and the aspects of the company, thereby achieving a comprehensive knowledge of what tools, services, and DevOps methodologies are needed to work in the role triumphantly.
We at Testprep training hope that this article help the candidate to successfully clear the AWS DevOps Engineer Professional job Interview! The candidate can also refer to the AWS DevOps Engineer Professional practice test because Practice makes a man perfect!
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