Top 20 AWS CodePipeline Interview Questions and Answers

Model, visualise, and automate the steps necessary to deploy your product with AWS CodePipeline, a continuous delivery service. You can model the entire release process for creating your code, deploying it to test environments, testing your application, and releasing it to production with AWS CodePipeline. Every time there is a code change, AWS CodePipeline then builds, tests, and deploys your application in accordance with the specified workflow. An end-to-end continuous delivery solution can be created by integrating partner technologies and your own unique tools into any stage of the release process.

Ques. 1): What makes AWS CodePipeline a good choice?

Answer:

You can speed up and improve the quality of your software updates by automating your build, test, and release processes with AWS CodePipeline. This is done by subjecting all fresh changes to a standardised set of quality tests.

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Ques. 2): Describe an artefact.

Answer:

A file or set of files are affected when an action is executed. These documents are known as artefacts. Further steps in the pipeline can work on these items. For instance, a build action will read in a source artefact that contains the most recent version of the code that was output by a source action. The build action will upload the build output after compilation so that it can be read by the later deployment activities.

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Ques. 3): How would I begin a pipeline?

Answer:

When you build a pipeline, it will immediately start a run to publish the most recent version of your source code. After then, a fresh run is started each time your source location is modified. Moreover, you can use the Release Change button in the pipeline console to re-run the most recent revision through the pipeline.

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Ques. 4): How can I use AWS Lambda functions and serverless applications to practise continuous delivery?

Answer:

By integrating the AWS Serverless Application Model template and its accompanying files in your source code repository, you can publish modifications to your serverless application. To package your code for distribution, you can utilise AWS CodeBuild in your pipeline. Afterwards, you may develop a change set and launch your serverless application using AWS CloudFormation activities. You have the choice to add more phases to your workflow, such as automated tests or manual approvals.

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Ques. 5): What products can be integrated with AWS CodePipeline?

Answer:

AWS Elastic Beanstalk, AWS CloudFormation, AWS OpsWorks, Amazon ECS, and AWS Lambda are just a few of the AWS services that AWS CodePipeline connects with. AWS CodePipeline also incorporates with a variety of partner products. Finally, CodePipeline allows you to integrate any existing tool and create your own unique actions.

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Ques. 6): Can I allow an IAM user in a different Amazon account to access the pipeline in a different AWS account?

Answer:

Yes. To grant access to the pipeline and any associated resources to an IAM user in another account, you can create an IAM role in the AWS account that owns the pipeline. See Walkthrough: Delegating Access Across AWS Accounts For Accounts You Own Using IAM Roles and Setup Cross-Account Access to a Pipeline for instructions on how to enable such cross account access.

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Ques. 7): What is continuous delivery?

Answer:

A software development method known as "continuous delivery" involves automatically building, testing, and getting code updates ready for production release. You can use AWS CodePipeline as a service to carry out continuous delivery.

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Ques. 8): An transition is what?

Answer:

In the AWS CodePipeline console, the arrows that connect the stages of a pipeline are transitions. The transition arrow represents the automatic sending of revisions to the following stage once they have successfully completed the actions in a stage. Between phases, transitions may be blocked or enabled.

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Ques. 9): Is it possible to duplicate an existing pipeline?

Answer:

Yes. To obtain the JSON structure of your current pipeline, use the Amazon CLI command get-pipeline. Then, you can create a new pipeline with the exact same structure as the previous one using that JSON and the create-pipeline Amazon CLI command.

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Ques. 10): How do I use a release workflow process to provision and manage my AWS resources?

Answer:

You can use continuous delivery to automatically build and test modifications to your AWS CloudFormation stacks before promoting them to production stacks using AWS CodePipeline and AWS CloudFormation. You may quickly and dependably make changes to your Amazon infrastructure using this release method. You can add more actions to your workflow, such as manual approvals, test actions, or the execution of Amazon Lambda functions.

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Ques. 11): How can I set up and administer my AWS resources using a release workflow procedure?

Answer:

Continuous delivery enables you to automatically generate and test modifications to your AWS CloudFormation stacks prior to promoting them to production stacks using AWS CodePipeline and AWS CloudFormation. You may make changes to your AWS infrastructure quickly and reliably using this release method. You can add more steps to your workflow, such as test activities, human approvals, or calls to Amazon Lambda functions.

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Ques. 12): How can I get notified or alerted when something happens in AWS CodePipeline?

Answer:

For events that have an effect on your pipelines, you can generate notifications. Amazon SNS notifications will be used for notifications. Each notification will have a link to the resources whose event caused it, along with a status message. There is no additional price for notifications, but you can be charged for other AWS services that notifications uses, including Amazon SNS. Customers can also set up notifications to go to their Slack channels or Amazon Chime chat rooms when utilising the AWS Chatbot.

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Ques. 13): Describe a pipeline.

Answer:

A pipeline is a workflow concept that explains the release procedure for software modifications. The workflow is described using a list of phases and activities.

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Ques. 14): How can a pipeline be stopped?

Answer:

You can disable a transition from one step to another to halt a pipeline. Your pipeline will keep running revisions through the steps after it has been disabled, but revisions will not be promoted via the disabled transition to subsequent stages.

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Ques. 15): Is it possible to obtain a call log for the AWS CodePipeline API?

Answer:

Yes. Simply enable Amazon CloudTrail in the AWS Management Console to acquire a history of all AWS CodePipeline API calls made on your account for security analysis and operational troubleshooting.

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Ques. 16): How do revisions work?

Answer:

A revision is a modification made to the pipeline's specified source location. It may contain data, build output, configuration, or source code. Several revisions may be going through a pipeline at once.

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Ques. 17): Can I modify an already-built pipeline?

Answer:

Yes. You can add or delete pipeline stages as well as add, amend, or remove stage actions using the Amazon CodePipeline console or AWS CLI.

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Ques. 18): What is an action?

Answer:

An action is a procedure carried out on a revision. According on the stage design, pipeline events happen in a predetermined sequence, either serially or concurrently.

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Ques. 19): Can actions run in parallel?

Answer:

Yes. For any stage, you can set up one or more actions to run concurrently.

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Ques. 20): How can I get AWS CodePipeline up and running?

Answer:

You can start using the service by creating a pipeline after logging into the AWS Management Console.

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Top AWS Mainframe Modernization Interview Questions and Answers

For transferring and modernising mainframe and legacy workloads, AWS Mainframe Modernization offers an elastic mainframe service and a collection of developer tools. System integrators can aid in the discovery of your mainframe and legacy workloads, the evaluation and analysis of migration readiness, and the planning of migration and modernisation projects by using Mainframe Modernization. Once planning is complete, you can replatform or rework your mainframe and legacy workloads, test workload functionality, and move your data to Amazon using the Mainframe Modernization built-in development tools.

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Ques. 1): What is the purpose of AWS Mainframe Modernization?

Answer:

The controlled runtime environment for Mainframe Modernization makes it easier to manage the production environment for Mainframe and Legacy workloads. Replatforming and automatic refactoring are two transformation methods that Mainframe Modernization offers. Choose the appropriate migration strategy depending on your company's goals.

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Ques. 2): Will running my legacy workload on Amazon with AWS Mainframe Modernization help re-platform it?

Answer:

Yes. One of the migration strategies that Mainframe Modernization enables is replatforming. The Mainframe Modernization developer tool recompiles the old application, which is then deployed into the Mainframe Modernization managed runtime as an EC2-based runtime environment.

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Ques. 3): Which migration styles are supported by Amazon Mainframe Modernization?

Answer:

Two primary migration patterns are supported by Mainframe Modernization: 1) Automated refactoring to convert mainframe COBOL code to Java, and 2) replatforming via middleware emulation to a runtime environment that is mainframe-compatible. Replatforming aims to minimise code modifications in order to shorten migration times and lower risk. Based on business goals, you can employ both patterns on a single project to facilitate service deconstruction towards producing macroservices or microservices.

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Ques. 4): Can I alter how the modernisation works?

Answer:

Yes. You can restyle or switch to a new user interface (UI) that adheres to your company standards, colours, and other regulations depending on the pattern. The appearance of the refactored code can also be modified to adhere to different company IT policies and requirements.

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Ques. 5): Is AWS Mainframe Modernization something I should use?

Answer:

System integrators can hasten the migration of your mainframe and legacy workloads by using Mainframe Modernization. The labour of migration, such as the recompilation, transformation, and testing of mainframe code, is automated by mainframe modernization toolchains.

Moreover, replatformed workloads can be deployed on the Mainframe Modernization mainframe-compatible runtime environment to take advantage of managed runtime that is highly available and cost-effective pay-as-you-go pricing with no up-front expenses. The most recent operational, security, and architectural best practises are used to generate workloads regardless of the transformation pattern you select.

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Ques. 6): Where can I find AWS Mainframe Migration?

Answer:

In the US East (North Virginia), US West (Oregon), Asia Pacific (Sydney), Canada Central, EU (Frankfurt), EU (Ireland), and South America (Sao Paulo), Amazon Mainframe Modernization is currently accessible.

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Ques. 7): Which target database systems is my updated programme capable of using?

Answer:

Using Amazon Aurora with PostgreSQL compatibility is what we often advise. You can use a variety of AWS databases, such as Amazon RDS for PostgreSQL or self-managed databases running on Amazon EC2, depending on the migration strategy and legacy application.

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Ques. 8): How can I get Amazon Mainframe Modernization started?

Answer:

Go to the AWS Management Console under your AWS account and click the Mainframe Modernization link to begin.

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Ques. 9): How do other AWS services interact with AWS Mainframe Modernization?

Answer:

Programs that have been replatformed or refactored using Mainframe Modernization can benefit from a variety of Amazon services, including computing, database, messaging, security, storage, and more. As recommended by AWS best practises, Mainframe Modernization specifically interfaces with Amazon CloudWatch alerts and other operational services. Additionally, you may use Amazon CloudFormation templates or AWS Cloud Development Kit (CDK) scripts to deploy migrated apps, and you can use AWS Identity and Access Management (IAM) to manage users and role-based access to AWS resources securely. To manage multi-account refactor environments with streamlined networking and routing between the mainframe and new services, Mainframe Modernization can be used in conjunction with AWS Migration Hub Refactor Spaces.

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Ques. 10): What kinds of legacy workloads can be supported by Amazon Mainframe Modernization?

Answer:

For a variety of legacy systems, including COBOL, Programming Language One (PL/1), Job Control Language (JCL), Customer Information Control System (CICS), and many others, Mainframe Modernization provides replatforming and refactoring support.

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Ques. 11): Can I use AWS Mainframe Modernization with any other automatic refactoring tools?

Answer:

No, only the Blu Age automatic refactoring tools are supported by Mainframe Modernization at this time.

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Ques. 12): Can I restructure an application that I've already replatformed using Amazon Mainframe Modernization?

Answer:

Yes. You can choose to replatform onto AWS first if you need to move swiftly. Refactoring the replatformed application will allow you to continue your modernization journey after this is finished.

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Ques. 13): Is AWS Mainframe Modernization compatible with other middleware emulators?

Answer:

The only middleware emulation that Mainframe Modernization presently supports is the one made by Micro Focus.

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