Top 20 AWS CodeStar Interview Questions and Answers

You may easily create, build, and deploy apps on AWS using the tools offered by AWS CodeStar, a cloud-based development service. You can quickly start releasing code by setting up your whole continuous delivery toolchain with AWS CodeStar. With built-in role-based controls that enable you to quickly manage access and add owners, contributors, and watchers to your projects, AWS CodeStar makes it simple for your entire team to collaborate securely. Every AWS CodeStar project includes a single project dashboard and interaction with the third-party issue tracking and project management solution, Atlassian JIRA. You can simply keep track of every step of your software development process, from adding a backlog item to deploying production code, with the help of the AWS CodeStar project dashboard.

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Ques. 1): What is AWS CodeStar capable of?

Answer:

Develop on AWS in a matter of minutes. You can easily set up your full development and continuous delivery toolchain with AWS CodeStar so that you can write, create, test, and deploy your application code. You have a choice of AWS CodeStar templates for Amazon EC2, AWS Lambda, and AWS Elastic Beanstalk to begin a project. The underlying AWS services are provisioned in minutes when you select a project template, enabling you to get started developing and deploying your applications right away.

Work securely with your team. You may securely collaborate with your team using AWS CodeStar. Because AWS CodeStar has built-in role-based controls that adhere to AWS security best practises, setting up project access for teams is made simpler. Managing access for project owners, contributors, and viewers is simple and doesn't require you to individually set up a policy for every service.

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Ques. 2): What advantages does AWS CodeStar offer?

Answer:

Simple management of software distribution. Through a single project dashboard, AWS CodeStar offers a simple method to coordinate your daily development operations. This enables you to follow progress throughout all phases of your software development process, including code changes, builds, tests, and deployments, from a single location. Atlassian JIRA, a third-party issue tracking and project management solution, is integrated with AWS CodeStar, making it simple to manage JIRA issues right from the AWS CodeStar dashboard.

a selection of project templates are available. You may quickly create a wide range of applications with AWS CodeStar project templates, including websites, web applications, web services, and Alexa skills. AWS CodeStar project templates include the code for getting started on supported programming languages including Java, JavaScript, PHP, Ruby, and Python.

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Ques. 3): How can I update, add, or remove users from my AWS CodeStar projects?

Answer:

Through the "Team" portion of the CodeStar console, you are able to add, modify, or remove users for your CodeStar project. The users can be given Owner, Contributor, or Viewer permissions, at your discretion. Users can be added, deleted, or have their roles changed at any time.

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Ques. 4): How should my project dashboard be set up?

Answer:

Project dashboards can be set up to display the tiles you want, at the locations you choose; Click the "Tiles" drop-down on your project dashboard to add or remove tiles. Drag the tile to the desired location to alter the dashboard's layout.

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Ques. 5): Can I use AWS CodeStar to manage the AWS applications I already have?

Answer:

No. Customers can launch new software projects on AWS fast with the aid of AWS CodeStar. The development tools AWS CodePipeline, AWS CodeCommit, AWS CodeBuild, and AWS CodeDeploy are included with every CodeStar project and can be used independently as well as with other AWS apps. Customers who want to learn more about how these technologies can support their current AWS applications.

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Ques. 6): Can I use an IDE to directly work on my AWS CodeStar projects?

Answer:

Yes. You can quickly set up your local development environment to work with CodeStar Projects by installing the AWS Toolkit for Eclipse or Visual Studio. Once installed, developers can choose from a list of available CodeStar projects and have their development tooling automatically configured to clone and checkout their project's source code, all from within their IDE.

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Ques. 7): How can I begin using AWS CodeStar?

Answer:

Through the AWS CodeStar console, getting started with AWS CodeStar may be accomplished in a short amount of time. Choose one of the available CodeStar project templates to start, and all the resources required for your project will be immediately provisioned. The "Application endpoints" tile lets you view your active application after your project has been provisioned. To connect to the AWS CodeCommit source repository for your project and start coding, follow the instructions in the CodeStar console. The project dashboard allows you to monitor and control changes made during the release process as well as to view the most recent project activity.

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Ques. 8): Why need I to utilise AWS CodeStar?

Answer:

Whether you're starting with a full set of tools for a team-based project or just setting up a test project with a source repository, you should use CodeStar if you want to quickly set up a software development project on AWS. Anyone interested in learning more about continuous delivery can use AWS CodeStar by starting with a comprehensive tool chain for a sample project. With project templates that build up actual applications and may be altered at any time in the future to fit your needs, AWS CodeStar walks you through the setup process.

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Ques. 9): What geographical areas is AWS CodeStar accessible?

Answer:

Your CodeStar project will be saved to the area that your console is set to. The CodeStar console shows all of your development projects across all regions in a single, consolidated view.

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Ques. 10): What is the price of AWS CodeStar?

Answer:

For AWS CodeStar, there is no extra fee. You must pay for any AWS resources used in your CodeStar projects, such as EC2 instances, Lambda executions, or S3 buckets. There are no minimum payments or up-front commitments; you simply pay for what you use as you use it.

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Ques. 11): Do AWS CodeStar and third-party connectors work together?

Answer:

You can add partner actions to your project's AWS CodePipeline and link issue management with your projects using AWS CodeStar and Atlassian JIRA.

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Ques. 12): What kinds of apps can I create using AWS CodeStar?

Answer:

Building web services, web apps, and other things is possible using CodeStar. The applications are executed using AWS Lambda, AWS Elastic Beanstalk, or Amazon EC2. Several distinct programming languages, including Java, Node.js (Javascript), PHP, Python, and Ruby, offer project templates.

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Ques. 13): How are IAM users related to AWS CodeStar users?

Answer:

Because CodeStar users are built on IAM, you still receive the administrative advantages of IAM. CodeStar users are IAM users that are managed by CodeStar to provide pre-made, role-based access policies throughout your development environment. The global account policies in IAM are still in effect, for instance, if you add an existing IAM user to a CodeStar project.

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Ques. 14): Can I launch applications in other regions using AWS CodeStar?

Answer:

No. In the regions you define in your CodeStar project settings, CodeStar configures and administers Code services resources, such as a CodeCommit repository.

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Top 20 AWS Compute Optimizer Interview Questions and Answers

AWS Compute Optimizer uses machine learning to examine historical utilisation metrics to help you determine the best AWS resource configurations for Amazon Elastic Compute Cloud (EC2) instance types, Amazon Elastic Block Store (EBS) volume configurations, and AWS Lambda function memory sizes. By suggesting the best AWS resources for your AWS workloads, AWS Compute Optimizer offers a collection of APIs and a console interface to help you lower costs and boost workload performance.

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Ques. 1): What information is used by AWS Compute Optimizer to make its recommendations?

Answer:

You give AWS Compute Optimizer permission to use CloudWatch metrics and resource configuration information when you choose to use the service. AWS Compute Optimizer uses this information to identify the resources to evaluate and to make suggestions because it needs a long enough metrics history.

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Ques. 2): How can I pinpoint my biggest room for performance and cost improvement?

Answer:

Through two new sets of dashboard-level metrics, savings opportunity and performance improvement opportunity, you can easily find and prioritise top optimization opportunities.

By implementing Compute Optimizer suggestions, you can save money each month on Amazon EC2, Amazon EBS, and AWS Lambda at the account level, resource type level, or resource level. Savings opportunity metrics quantify these savings. These indicators can be used to assess and rank cost-saving opportunities as well as track your progress over time. The percentage and number of underprovisioned resources at the account level and resource type level are quantified using performance improvement opportunity metrics. These indicators can be used to rank performance improvement initiatives that address the risks of resource bottlenecks.

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Ques. 3): What factors does AWS Compute Optimizer consider when selecting recommended EC2 instance options?

Answer:

Performance risk is a measure of how likely it is that the instance type won't provide enough resources for your task. For the recommended instance's CPU, RAM, EBS throughput, EBS IOPS, disc throughput, network throughput, and network PPS, Compute Optimizer determines a unique performance risk score. The percentage of time over the historical lookback period where capacity may be limited in the given resource dimension is used to calculate the performance risk score for each resource dimension. The maximum performance risk score across the examined resource specifications is used to compute the performance risk of the suggested instance.

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Ques. 4): What recommendations for Auto Scaling groups does AWS Compute Optimizer support?

Answer:

For EC2 Auto Scaling groups with a fixed group size, where desired, minimum, and maximum are all set to the same value and no scaling policy is applied, AWS Compute Optimizer recommends EC2 instance type and size. Additionally, all instances that make up an Auto Scaling group must fall into the M, C, R, T, X, I, D, H, and z instance families. Currently, Auto Scaling groups configured with a mixed instances policy are not supported by Compute Optimizer.

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Ques. 5): What information is used by AWS Compute Optimizer to recommend my EBS volume?

Answer:

Before making suggestions for EBS volumes, AWS Compute Optimizer requires at least 30 hours of metrics over a sustained period of time. IOPS and throughput measurements from CloudWatch are analysed by AWS Compute Optimizer for EBS volumes.

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Ques. 6): What types of Lambda functions can be used with Compute Optimizer?

Answer:

You may optimise two types of Lambda functions with the aid of Compute Optimizer. Lambda functions in the first category might have excessive amounts of memory. To cut costs, you can think about reducing these functions' memory requirements. Compute-intensive Lambda functions that might benefit from more CPU power fall under the second category. To make an equivalent increase in the CPU resources available to these routines and shorten runtime, you can think about increasing their memory sizes. Compute Optimizer does not provide recommendations for any functions that do not fit into one of these categories.

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Ques. 7): Does Compute Optimizer take into account pricing details for Lambda functions when making recommendations?

Answer:

Yes. When Compute Optimizer determines the best memory sizes for your Lambda functions, it also takes into account the predicted function runtime, public Lambda pricing, and the number of function invocations over the previous 14 days to arrive at a "would-be" cost figure. You can use this figure to calculate your Lambda cost if the memory size of your Lambda function had been set to the suggested value.

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Ques. 8): What is AWS Compute Optimizer capable of?

Answer:

With the aid of AWS Compute Optimizer, you can quickly select the best AWS resources for your workloads without the need for specialised knowledge or a significant time and financial commitment. To help you find the most effective optimization opportunities, the AWS Compute Optimizer console gives you a comprehensive, cross-account view of all the resources that AWS Compute Optimizer has assessed.

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Ques. 9): When should I utilise the EC2 instance type recommendations from AWS Compute Optimizer and when should I use the EC2 resource rightsizing suggestions from AWS Cost Explorer?

Answer:

The recommendation engine used by Compute Optimizer and Cost Explorer Resource Rightsizing Recommendations is the same. Customers can use Compute Optimizer's recommendations to find the best EC2 instance types for their workloads. In order to help cost-management owners quickly identify infrastructure rightsizing savings opportunities, the Cost Explorer console and API surfaces a subset of these recommendations that may result in cost savings and supplements them with customer-specific cost and savings information (such as billing information, available credits, RI and Savings Plans). All recommendations are sent through the Compute Optimizer console and its API, regardless of their financial impact. Engineering teams can use Compute Optimizer to evaluate price-performance trade-off for their workloads, receive recommendations that incorporate additional data (such as memory metrics), and evaluate projected resource utilization and performance risk.

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Ques. 10): How can I better comprehend the suggested EC2 instance settings using AWS Compute Optimizer?

Answer:

To help you understand how your workload would have performed under the recommended parameters, AWS Compute Optimizer predicts the CPU and memory utilisation of your EC2 instance if you had chosen the recommended option. In order to help you understand the adjustments you would need to make in order to move your workloads from the current instance to the recommended instance type, AWS Compute Optimizer additionally provides the configuration differences between the current instance and the suggested instance type.

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Ques. 11): What information is used by AWS Compute Optimizer to recommend my Auto Scaling group?

Answer:

Before making recommendations for Auto Scaling groups, AWS Compute Optimizer requires measurements for at least 30 hours. AWS Compute Optimizer examines both the settings of the Auto Scaling group, such as the scaling policy and related launch template, and the default CloudWatch metrics of each member EC2 instance, such as CPU utilisation and network I/O metrics.

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Ques. 12): Is there a connection between AWS Organizations and AWS Compute Optimizer?

Answer:

Yes, there is an integration between AWS Compute Optimizer and AWS Organizations that enables you to view all of your recommendations within your organisation. You must sign in using the principal account for your organisation and your organization's "all features" must be enabled in order to access this function.

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Ques. 13): How can I get AWS Compute Optimizer started?

Answer:

Visit the AWS Compute Optimizer console and select "opt in" to register for AWS Compute Optimizer. To use this service, you need an AWS account. AWS Compute Optimizer analyses your AWS resources as soon as you opt in and starts making recommendations. It could take up to 12 hours for AWS Compute Optimizer to thoroughly examine the AWS resources in your account when you first turn it on.

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Ques. 14): Enhance infrastructure metrics: what are they?

Answer:

Enhancing recommendation accuracy and relevance for workloads with monthly or quarterly utilisation patterns is a premium Compute Optimizer option for EC2 instances. When the functionality is activated, Compute Optimizer automatically ingests and examines up to six times more usage metrics history than the Compute Optimizer option that is used by default (up to three months of history compared to 14 days). With the Compute Optimizer console or API, you may enable the capability for all existing and newly generated EC2 instances and Auto Scaling groups at the organisation, account, or resource level.

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Ques. 15): Does AWS Compute Optimizer take into account the cost of EC2 instances when making recommendations?

Answer:

Following the creation of a list of the best AWS resources for your workload, AWS Compute Optimizer uses predicted performance risk and a number of pricing factors, such as on-demand pricing, to rank its suggestions. Spot pricing and other transient pricing considerations are not taken into account by AWS Compute Optimizer.

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Ques. 16): How does the recommended EBS volume alternatives' performance risk get determined by AWS Compute Optimizer?

Answer:

Performance risk is a measure of how likely it is that the suggested solution won't be able to handle your workload's performance demands. You may need to put in more work to confirm that the recommended EBS volume configuration satisfies your workload's performance needs the higher the performance risk.

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Ques. 17): Do all AWS resources receive suggestions from AWS Compute Optimizer?

Answer:

For particular classes of EC2 instances, EC2 Auto Scaling groups, EBS volumes, and Lambda functions, AWS Compute Optimizer provides suggestions.

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Ques. 18): What information is used by AWS Compute Optimizer to suggest EC2 instances for me?

Answer:

When recommending an EC2 instance type, AWS Compute Optimizer looks at standard CloudWatch parameters including CPU utilisation, network packets per second, local storage throughput, and local storage IOPS.

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Ques. 19): What categories of EBS volumes does AWS Compute Optimizer recommend?

Answer:

IOPS recommendations for Provisioned IOPS (io1 and io2) volumes as well as throughput recommendations for General Purpose (SSD) (gp3) volumes are supported by AWS Compute Optimizer.

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Ques. 20): When making suggestions, does AWS Compute Optimizer take into account EBS volume price data?

Answer:

After determining a list of the best EBS volume configurations for your workload, AWS Compute Optimizer uses estimated performance risk and public EBS price to rank the suggestions.

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Top 20 AWS CodeArtifact Interview Questions and Answers

With the help of AWS CodeArtifact, businesses of any size can quickly and easily save, publish, and distribute the software packages they use in their software development process. This service is fully managed. The popular package managers and build tools Maven and Gradle (for Java), npm and yarn (for JavaScript), pip and twine (for Python), and NuGet are all compatible with CodeArtifact (.NET).

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Ques. 1): How can I begin using CodeArtifact?

Answer:

By setting up a fresh domain and repository through the AWS Management Console, SDKs, or CLI, you can start utilising CodeArtifact. Then, you can publish packages to your repository using well-known package managers and build tools like the npm or yarn CLI (for JavaScript), maven or gradle (for Java), pip (for Python), or NuGet (for.NET). Additionally, you may use your CodeArtifact repository, which keeps any packages used in this manner, to consume open-source packages from widely accessible repositories like npm registry, Maven Central, Python Package Index (PyPI), or NuGet.org.

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Ques. 2): What is a CodeArtifact repository?

Answer:

Each set of package versions in a CodeArtifact repository corresponds to a different group of assets. A single repository may contain packages of any supported kind since repositories are polyglot. Each repository provides APIs that may be used with programmes like the npm CLI, the Maven CLI (mvn), pip, and NuGet to fetch and publish packages. See Quotas in AWS CodeArtifact for information on resource limitations.

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Ques. 3): How can I use the AWS CLI to log into a CodeArtifact repository?

Answer:

Install the AWS CLI first, then setup the AWS login information for an IAM user or role that has the necessary access rights to CodeArtifact. To utilise the CodeArtifact GetAuthorizationToken API, use the CLI. This API sells authentication tokens, which may be requested by package managers and development tools and supplied in the HTTP Authorization header. The login command from the CLI makes use of GetAuthorizationToken and sets up a package manager to utilise this token for all requests. Developers who have used the docker CLI to communicate with Amazon ECR will be familiar with this approach because it is comparable to the get-login command offered by Amazon ECR.

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Ques. 4): Can I combine AWS CodeBuild with AWS CodeArtifact?

Answer:

Yes. In your CodeBuild project setup, you may define which CodeArtifact repositories to utilise for downloading and publishing packages. Client tools for all the package types supported by CodeArtifact are included in the available CodeBuild images. With the help of the build's IAM role, CodeBuild configures the build tool or package manager to utilise the given repository and obtain a CodeArtifact auth token at build time. Additionally, you may select which build artefacts should be added to your CodeArtifact repository when the build is finished. When the contents of a CodeArtifact repository change, CloudWatch Events are released, which may be used to start a CodeBuild build.

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Ques. 5): Permissions may be enabled at the package level, right?

Answer:

Yes. CodeArtifact supports write permissions at the package level. These may be set up by adding clauses that identify a package ARN as the resource in a repository resource policy document. CodeArtifact only supports read permissions at the repository level, meaning an IAM principal may either read every package in a repository or none of them.

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Ques. 6): What is a domain in CodeArtifact?

Answer:

A domain is a feature unique to CodeArtifact that enables the management of several CodeArtifact repositories owned by the same company across various AWS accounts. For instance, a company may establish a central repository for team package sharing and project-level repositories to house package usage-specific storage.

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Ques. 7): What is the price of CodeArtifact?

Answer:

There are no up-front costs or commitments with CodeArtifact. You only pay for the amount of data transported out of an AWS Region, the volume of requests performed, and the software packages stored. A monthly free tier for storage and requests is offered by CodeArtifact.

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Ques. 8): How can I get a CodeArtifact artefact back?

Answer:

Use tools that are inherent to the language to fetch artefacts. Run the CodeArtifact CLI "login" command, followed by npm install webpack, to install, for instance, the npm package webpack and all of its dependencies. npm retrieves webpack from CodeArtifact and resolves dependencies using data from webpack's package. json file, after which it pulls all necessary dependencies recursively from CodeArtifact.

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Ques. 9): My packets are encrypted using CodeArtifact.

Answer:

Yes. All of the packages that CodeArtifact stores are secured at rest and in transit using TLS and AES-256 symmetric key encryption, respectively. Both the AWS Key Management Service (KMS) client controlled CMKs and the AWS managed CMKs are supported by CodeArtifact.

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Ques. 10): In CodeArtifact, how do I build repositories?

Answer:

Using the console wizard, the AWS SDKs or CLI, or programmatically, you may build repositories.

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Ques. 11): How can I set up a CodeArtifact repository to fetch packages from outside package archives like the npm registry?

Answer:

Create a repository with an external connection on the CodeArtifact console to fetch packages from a public repository like the npm registry. The AssociateExternalConnection API may also be used to link a public repository with a CodeArtifact repository. If the desired packages are not already available, CodeArtifact fetches and caches them from outside repositories whenever a package request is made.

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Ques. 12): How do I publish artifacts to CodeArtifact?

Answer:

Using language-specific tools like npm or yarn (for JavaScript), maven or gradle (for Java), twine (for Python), or NuGet, you may publish artefacts (.NET). For instance, using npm, releasing a new package version necessitates running two commands: To upload the package to the repository, first use the "login" command in the CodeArtifact CLI, and then run npm publish. As part of a continuous integration (CI) workflow, AWS CodeBuild may publish new package versions by executing the same instructions.

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Ques. 13): AWS CodeArtifact and AWS CodePipeline are compatible, right?

Answer:

Yes. When a package kept in a CodeArtifact repository changes, as when a new version of the package is released, you can use Amazon EventBridge to start a CodePipeline build.

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Ques. 14): Can I make my repositories accessible across accounts?

Answer:

Yes. Resource policies are supported by CodeArtifact repositories to allow cross-account access. By using the console or AWS CLI, you may add a resource policy.

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