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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Optimization | 18% | - Debug and resolve errors
|
| Deployment | 24% | - Implement CI/CD pipelines
|
| Security | 26% | - Implement authentication and authorization
|
| Development with AWS Services | 32% | - Integrate AWS services into applications
|
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NEW QUESTION # 356
A development team uses AWS CodeBuild as part of a CI/CD pipeline. The project includes hundreds of unit and integration tests, and total build time continues to increase. The team wants faster feedback and lower overall testing duration without managing additional infrastructure.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
AWS CodeBuild supports parallel test execution through batch builds and multiple compute environments.
This feature allows a single CodeBuild project to divide test workloads across multiple isolated environments that run concurrently. Each environment executes a subset of the test suite, significantly reducing total build time.
AWS documentation emphasizes using native CodeBuild capabilities to minimize operational complexity.
Parallel execution eliminates the need to manually manage infrastructure, test orchestration logic, or EC2 fleets. CodeBuild automatically provisions and terminates build environments, scales as needed, and integrates seamlessly with CI/CD pipelines.
Options A and D require manual coordination and infrastructure management, increasing operational overhead. Option C does not address the performance problem.
Therefore, using CodeBuild's parallel compute environments is the most efficient and AWS-recommended approach.
NEW QUESTION # 357
A development team wants to build a continuous integration/continuous delivery (CI/CD) pipeline. The team is using AWS CodePipeline to automate the code build and deployment. The team wants to store the program code to prepare for the CI/CD pipeline.
Which AWS service should the team use to store the program code?
Answer: B
Explanation:
AWS CodeCommit is a service that provides fully managed source control for hosting secure and scalable private Git repositories. The development team can use CodeCommit to store the program code and prepare for the CI/CD pipeline. CodeCommit integrates with other AWS services such as CodePipeline, CodeBuild, and CodeDeploy to automate the code build and deployment process.
Reference:
[What Is AWS CodeCommit? - AWS CodeCommit]
[AWS CodePipeline - AWS CodeCommit]
NEW QUESTION # 358
A financial company must store original customer records for 10 years for legal reasons. A complete record contains personally identifiable information (PII). According to local regulations, PII is available to only certain people in the company and must not be shared with third parties. The company needs to make the records available to third-party organizations for statistical analysis without sharing the PII.
A developer wants to store the original immutable record in Amazon S3. Depending on who accesses the S3 document, the document should be returned as is or with all the PII removed. The developer has written an AWS Lambda function to remove the PII from the document. The function is named removePii.
What should the developer do so that the company can meet the PII requirements while maintaining only one copy of the document?
Answer: B
Explanation:
S3 Object Lambda allows you to add your own code to process data retrieved from S3 before returning it to an application. You can use an AWS Lambda function to modify the data, such as removing PII, redacting confidential information, or resizing images. You can create an S3 Object Lambda access point and associate it with your Lambda function. Then, you can use the access point to request objects from S3 and get the modified data back. This way, you can maintain only one copy of the original document in S3 and apply different transformations depending on who accesses it. Reference: Using AWS Lambda with Amazon S3
NEW QUESTION # 359
A developer designed an application on an Amazon EC2 instance The application makes API requests to objects in an Amazon S3 bucket Which combination of steps will ensure that the application makes the API requests in the MOST secure manner? (Select TWO.)
Answer: B,E
Explanation:
* IAM Roles for EC2: IAM roles are the recommended way to provide AWS credentials to applications running on EC2 instances. Here's how this works:
* You create an IAM role with the necessary permissions to access the target S3 bucket.
* You create an instance profile and associate the IAM role with this profile.
* When launching the EC2 instance, you attach this instance profile.
* Temporary Security Credentials: When the application on the EC2 instance needs to access S3, it doesn't directly use access keys. Instead, the AWS SDK running on the instance retrieves temporary security credentials associated with the role. These are rotated automatically by AWS.
References:
IAM Roles for Amazon EC2: https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_use_switch-role- ec2.html Temporary Security Credentials: https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp.
html
NEW QUESTION # 360
A company is using AWS CloudFormation to deploy a two-tier application. The application will use Amazon RDS as its backend database. The company wants a solution that will randomly generate the database password during deployment. The solution also must automatically rotate the database password without requiring changes to the application.
What is the MOST operationally efficient solution that meets these requirements'?
Answer: B
Explanation:
Explanation
This solution will meet the requirements by using AWS Secrets Manager, which is a service that helps protect secrets such as database credentials by encrypting them with AWS Key Management Service (AWS KMS) and enabling automatic rotation of secrets. The developer can use an AWS Secrets Manager resource in AWS CloudFormation template, which enables creating and managing secrets as part of a CloudFormation stack.
The developer can use an AWS::SecretsManager::Secret resource type to generate and rotate the password for accessing RDS database during deployment. The developer can also specify a RotationSchedule property for the secret resource, which defines how often to rotate the secret and which Lambda function to use for rotation logic. Option A is not optimal because it will use an AWS Lambda function as a CloudFormation custom resource, which may introduce additional complexity and overhead for creating and managing a custom resource and implementing rotation logic. Option B is not optimal because it will use an AWS Systems Manager Parameter Store resource with the SecureString data type, which does not support automatic rotation of secrets. Option C is not optimal because it will use a cron daemon on the application's host to generate and rotate the password, which may incur more costs and require more maintenance for running and securing a host.
References: [AWS Secrets Manager], [AWS::SecretsManager::Secret]
NEW QUESTION # 361
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