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 20 Aws Lambda Interview Questions & Answers

Ques: 1). What exactly is AWS Lambda?

Answer:

AWS Lambda is a serverless computing solution that is one of the best on the market. It enables you to run code without the need for server management or setup. When you consume data, you must pay for the computation time. When you are not running your code, there are no fees to pay. You may use Lambda to run code for any application or backend service virtually, without having to worry about management. All you have to do is upload the code, and Lambda will handle the rest. Lambda is a high-availability service that runs and scales your code. You may even set up the code to call it straight from the mobile app or the web, or from any other AWS accessible.

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Ques: 2). What is the purpose of Lambda?

Answer:

If you need a rapid, one-time function that accomplishes something simple and doesn't require long-running operations or expensive calculations, and you only need it to execute for a brief amount of time, Lambda functions are ideal. They can be provided as parameters into higher-order functions, making them handy in situations when other types of code might not be suitable for the task at hand.

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Ques: 3). What types of programmes can be run on AWS Lambda?

Answer:

AWS Lambda makes it simple to complete a variety of tasks in the cloud. AWS Lambda, for example, can be used to fetch and transform data from Amazon DynamoDB in mobile back-ends. Other tasks that may be done in the cloud with the help of AWS Lambda include handlers that alter and compress objects when they are uploaded to Amazon S3, server-less streaming data processing with Amazon Kinesis, and reporting and auditing of API calls made to any of Amazon's Web Services.

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Ques: 4). What distinguishes Lambda as a time-saving strategy?

Answer:

This is for a variety of reasons. The first is that everything can be stored in the local server memory. Furthermore, data can be directly stored in the database without compromising performance. Additionally, testing is not very difficult. Multiple vendors can simply make integration testing more powerful.

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Ques: 5). What are your thoughts on Auto-Scaling?

Answer:

It's essentially an Amazon Web Services capability that allows you to automatically configure and start up new instances. The good news is that you are not required to intervene at any point. Users may, however, keep track of everything using metrics and criteria. Simply cross a threshold to activate this task, and you'll notice that the instances have scaled horizontally without any intervention.

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Ques: 6). How can a serverless application be automated?

Answer:

An AWS CodePipeline and an AWS CodeDeploy can be used to automate the serverless application's release process. The CodePipeline is a continuous delivery service that allows for the modelling, visualisation, and automation of essential procedures, allowing for the deployment of server-less applications. For Lambda-based apps, CodeDeploy also has an automated deployment engine. It enables you to coordinate deployments using best-practice approaches such as canary and linear deployments, as well as assisting you in establishing major barriers to ensure that the newly deployed software is secure, stable, and ready for industrial usage.

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Ques: 7). What is the best way to troubleshoot a serverless application?

Answer:

By adding X-Ray permissions to the Lambda function's role of execution and changing the function's "mode of tracing" to "active," a Lambda function can be activated for tracking with AWS X-Ray. When you enable X-ray for Lambda functions, AWS Lambda will provide tracing data to X-Ray, including information about the Lambda service used to invoke the function. This will show you the overhead of the Lambda service, the time it takes to execute a function unit, and the time it takes to execute a function. Also, the X-Ray SDK can be included in Lambda deploying the package to create one’s segments of the trace, annotate one’s marks, or view the trace segments for various downstream calls that are made from Lambda function. X-Ray SDKs are presently available for Node.js and Java. Visit the Troubleshooting applications based on Lambda to learn more. AWS X-Ray rates shall apply.

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Ques: 8). Is there a limit on how many AWS Lambda functions may be run at the same time?

Answer:

No. AWS Lambda is built to run multiple instances of functions at the same time. AWS Lambda, on the other hand, has a safety threshold set by default for some consecutive runs for each account per region. The maximum number of times a single AWS Lambda function can be executed in a row can be adjusted, which can be used to set aside a portion of the account concurrency threshold for key functions or reduce traffic rates to downstream resources.

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Ques: 9). What is the definition of a server-less application?

Answer:

Lambda-based apps (also known as server-less applications) are built up of functions that are triggered by different events. One or more of these methods are triggered by events such as object upload to Amazon S3, Amazon SNS, or API activities in a standard server-less application. The functions can work independently or in conjunction with other resources such as DynamoDB tables or Amazon S3 buckets. A function is the most common serverless application.

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Ques: 10). What precisely is deployment automation?

Answer:

It's a lot like programming in another language. However, it alleviated many of the difficulties. The nicest part is the deployment of a pipeline that can be readily built as one gains experience. Automated Deployment reduces human intervention and assists enterprises in ensuring quality-based and best-in-class outcomes.

Ques: 11). What are the features of AWS Lambda that make deployments more automated?

Answer:

AWS lambda supports a variety of environmental factors. When it comes to altering the deployment package, they can be utilised for data and a variety of additional credentials. It also allows aliases because it's a serverless technique. There are a few categories that you may simply think about, such as stage production and development. As a result, functions may be readily evaluated for testing without disrupting the production code. Because the end-point does not change frequently, it is possible to keep up with the task's pace.

Ques: 12). What are the benefits of employing a server-less approach?

Answer:

To begin with, this technique features straightforward procedures that allow for a faster time to market and increased revenue. Users only have to pay when the code is compiling, therefore increasing profitability can save a lot of money. Managing the components of the larger application is also not difficult. Furthermore, the additional infrastructure is not required. The biggest advantage is that customers don't have to worry about the servers where the code is run.

Ques: 13). What is the definition of an external extension? What are some external Lambda runtime extensions?

Answer:

An external extension is one that continues to execute as a separate process in the execution even after the function call has completed. External extensions for Lambda runtimes include:

NET Core 3.1 (C#/PowerShell) ( dotnetcore3. 1 )
Custom runtime ( provided )
Custom runtime on Amazon Linux 2 ( provided. al2 )
Java 11 (Corretto) ( java11 )
Java 8 (Corretto) ( java8. al2 )

Ques: 14). Is it possible to scale Amazon Instance vertically? If so, how would you go about doing it?

Answer:

Yes, it is feasible to scale an Amazon Instance vertically. Here's how to do it:

On top of the already controlling instance, form and twist a new enormous instance.
Try delaying the present instance and separating the source web mass of dispatch and the server.
The next step is to terminate your current instance and detach it from the source quantity.
Make a note of the new machine ID and use the same source mass on your new server.

Ques: 15). What are the many ways to activate Lamda?

Answer:

Lambda can be triggered in three different ways.

API Gateway event:

These are what are known as standard events. When someone calls an API Gateway For Lambda, it will call your lambda function. If you're using the Serverless Framework, you'll need to specify which event type was triggered in the configuration, or serverless.yml.

S3 events:

S3 events happen when someone(s) changes the contents of an S3 bucket. A file can be created, removed, or updated to change the content. When you specify an event, you can choose whether the lambda function creates, destroys, or changes a file.

DynamoDB events:

When someone makes a modification to a record in a DynamoDB table, all of the changes are immediately published in a stream, and the lambda is triggered because there is data in the stream. When there is data in the stream, Lambda can be activated in two different ways. First, the lambda will only be called once if there is specific data in the stream, such as a single database change at a specific time. The second method Lambda is activated is when a stream of events is processed together. Because streams are rather rapid, this significantly reduces the amount of time spent running.

Ques: 16). What are the drawbacks of a serverless architecture?

Answer:

Everything in the Aws lambda has its own set of advantages and disadvantages, depending on the task at hand.

In the serverless technique, the upper limit is strictly on vendor control, which results in higher downtime.

Other difficulties include the loss of system operation and the system's constraints. AWS serverless solution requires dedicated hardware, which is not available.

Most of the time, it is the customer's blunders that cause the issues.

Ques: 17). What are the best security techniques in Lambda?

Answer:

In terms of security, Lambda has some of the best solutions. Identity Access and Management can be used. When it comes to regulating access to resources, this might be advantageous. Another option is privilege, which essentially expands the permissions. Access might be blocked to untrustworthy or unauthorised hosts. The security group has regulations that can be reviewed over time to stay up with the pace.

Ques: 18). In Lambda, what is SQS? What function does it have?

Answer:

SQS is essentially a method for sharing and transmitting information between hosts and connectors. Different Lambda components can be made available, or in other words, communication can be enabled. Even if the functional components aren't the same, they can be linked together. This strategy can eliminate a lot of failures, and components can communicate well with one another.

Ques: 19). In Lambda, what are Final Variables and Effectively Final Variables?

Answer:

Final variables are ones that can't be changed once they've been assigned. They are called essentially variable when they are in an early stage where any type of change is possible. They have yet to be assigned a value. In many circumstances, the outcome is required without constraint, which is why effective variables are used. They can also help with testing. Effective Variables can be used to empower final variables with a variety of additional capabilities. In Lambda, the majority of local expressions are final.

Ques: 20). What are the different types of storage that Amazon offers?

Answer:

There are a variety of storage options for Amazon Lambda, and the main thing to remember is that all of them are the finest in terms of durability and performance. It would not be a problem if you used them together. Accessibility for people with disabilities is also available. Let me give you a few examples, such as EBS, which is a storage tool that is essentially block-level storage. This comes with encryption capabilities, and it's an excellent alternative to think about if your system requires independent storage. The next category is EC2 instances, which are storage discs that are directly attached to the host PC.

This sort of storage is only employed for a short period of time. After then, the user can think about good storage. Until the instances are valid, the user data will be valid. The user can utilise this storage to run instances. The next type is Adding storage -> this is a type of root storage device. This is where you'll find information on the boot instance. The third type is Amazon S3, which is another AWS lambda storage option that is considered a low-cost alternative that can store any quantity of data.

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