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DOP-C02資格講座 & DOP-C02試験対策書

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>> DOP-C02資格講座 <<

最高DOP-C02｜更新するDOP-C02資格講座試験｜試験の準備方法AWS Certified DevOps Engineer - Professional試験対策書

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Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q356-Q361):

質問 # 356
To run an application, a DevOps engineer launches an Amazon EC2 instance with public IP addresses in a public subnet. A user data script obtains the application artifacts and installs them on the instances upon launch. A change to the security classification of the application now requires the instances to run with no access to the internet. While the instances launch successfully and show as healthy, the application does not seem to be installed.
Which of the following should successfully install the application while complying with the new rule?

A. Publish the application artifacts to an Amazon S3 bucket and create a VPC endpoint for S3. Assign an IAM instance profile to the EC2 instances so they can read the application artifacts from the S3 bucket.
B. Create a security group for the application instances and allow only outbound traffic to the artifact repository. Remove the security group rule once the install is complete.
C. Set up a NAT gateway. Deploy the EC2 instances to a private subnet. Update the private subnet's route table to use the NAT gateway as the default route.
D. Launch the instances in a public subnet with Elastic IP addresses attached. Once the application is installed and running, run a script to disassociate the Elastic IP addresses afterwards.

正解：A

解説：
Explanation
EC2 instances running in private subnets of a VPC can now have controlled access to S3 buckets, objects, and API functions that are in the same region as the VPC. You can use an S3 bucket policy to indicate which VPCs and which VPC Endpoints have access to your S3 buckets 1-
https://aws.amazon.com/pt/blogs/aws/new-vpc-endpoint-for-amazon-s3/

質問 # 357
A company is refactoring applications to use AWS. The company identifies an internal web application that needs to make Amazon S3 API calls in a specific AWS account.
The company wants to use its existing identity provider (IdP) auth.company.com for authentication. The IdP supports only OpenID Connect (OIDC). A DevOps engineer needs to secure the web application's access to the AWS account.
Which combination of steps will meet these requirements? (Select THREE.)

A. Create an 1AM role that has a policy that allows the necessary S3 actions. Configure the role's trust policy to allow the OIDC IdP to assume the role if the auth.company.com:aud context key is appid_from_idp.
B. Create an 1AM IdP by using the provider URL, audience, and signature from the existing IdP.
C. Create an 1AM role that has a policy that allows the necessary S3 actions. Configure the role's trust policy to allow the OIDC IdP to assume the role if the sts.amazon.conraud context key is appid from idp.
D. Configure AWS 1AM Identity Center. Configure an IdP. Upload the IdP metadata from the existing IdP.
E. Configure the web application lo use the AssumeRoleWith Web Identity API operation to retrieve temporary credentials. Use the temporary credentials to make the S3 API calls.
F. Configure the web application to use the GetFederationToken API operation to retrieve temporary credentials Use the temporary credentials to make the S3 API calls.

正解：A、B、E

解説：
* Step 1: Creating an Identity Provider in IAMYou first need to configure AWS to trust the external identity provider (IdP), which in this case supports OpenID Connect (OIDC). The IdP will handle the authentication, and AWS will handle the authorization based on the IdP's token.
* Action:Create an IAM Identity Provider (IdP) in AWS using the existing provider's URL, audience, and signature. This step is essential for establishing trust between AWS and the external IdP.
* Why:This allows AWS to accept tokens from your external IdP (auth.company.com) for authentication.

質問 # 358
A company has a guideline that every Amazon EC2 instance must be launched from an AMI that the company's security team produces Every month the security team sends an email message with the latest approved AMIs to all the development teams.
The development teams use AWS CloudFormation to deploy their applications. When developers launch a new service they have to search their email for the latest AMIs that the security department sent. A DevOps engineer wants to automate the process that the security team uses to provide the AMI IDs to the development teams.
What is the MOST scalable solution that meets these requirements?

A. Direct the security team to use a CloudFormation stack to create an AWS CodePipeline pipeline that builds new AMIs and places the latest AMI ARNs in an encrypted Amazon S3 object as part of the pipeline output Instruct the developers to use a cross-stack reference within their own CloudFormation template to obtain the S3 object location and the most recent AMI ARNs.
B. Direct the security team to use Amazon EC2 Image Builder to create new AMIs and to create an Amazon Simple Notification Service (Amazon SNS) topic so that every development team can receive notifications. When the development teams receive a notification instruct them to write an AWS Lambda function that will update their CloudFormation stack with the most recent AMI ARNs.
C. Direct the security team to use Amazon EC2 Image Builder to create new AMIs and to place the AMI ARNs as parameters in AWS Systems Manager Parameter Store Instruct the developers to specify a parameter of type SSM in their CloudFormation stack to obtain the most recent AMI ARNs from Parameter Store.
D. Direct the security team to use CloudFormation to create new versions of the AMIs and to list! the AMI ARNs in an encrypted Amazon S3 object as part of the stack's Outputs Section Instruct the developers to use a cross-stack reference to load the encrypted S3 object and obtain the most recent AMI ARNs.

正解：C

解説：
Explanation
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/dynamic-references.html

質問 # 359
A company has a single developer writing code for an automated deployment pipeline. The developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more developers to the team but is concerned about code conflicts and lost work The company also wants to build a test environment to deploy newer versions of code for testing and allow developers to automatically deploy to both environments when code is changed in the repository.
What is the MOST efficient way to meet these requirements?

A. Enable versioning and branching on each S3 bucket, use the main branch for production code, and create a testing branch for code deployed to testing. Have developers use each branch for developing in each environment.
B. Create an AWS CodeCommit repository tor each project, use the mam branch for production code: and create a testing branch for code deployed to testing Use feature branches to develop new features and pull requests to merge code to testing and main branches.
C. Create another S3 bucket for each project for testing code, and use an AWS Lambda function to promote code changes between testing and production buckets Enable versioning on all buckets to prevent code conflicts.
D. Create an AWS CodeCommit repository for each project, and use the main branch for production and test code with different deployment pipelines for each environment Use feature branches to develop new features.

正解：B

解説：
Creating an AWS CodeCommit repository for each project, using the main branch for production code, and creating a testing branch for code deployed to testing will meet the requirements. AWS CodeCommit is a managed revision control service that hosts Git repositories and works with all Git-based tools1. By using feature branches to develop new features and pull requests to merge code to testing and main branches, the developers can avoid code conflicts and lost work, and also implement code reviews and approvals. Option B is incorrect because creating another S3 bucket for each project for testing code and using an AWS Lambda function to promote code changes between testing and production buckets will not provide the benefits of revision control, such as tracking changes, branching, merging, and collaborating. Option C is incorrect because using the main branch for production and test code with different deployment pipelines for each environment will not allow the developers to test their code changes before deploying them to production.
Option D is incorrect because enabling versioning and branching on each S3 bucket will not work with Git- based tools and will not provide the same level of revision control as AWS CodeCommit. References:
* AWS CodeCommit
* Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 182)

質問 # 360
A company is running a custom-built application that processes records. All the components run on Amazon EC2 instances that run in an Auto Scaling group. Each record's processing is a multistep sequential action that is compute-intensive. Each step is always completed in 5 minutes or less.
A limitation of the current system is that if any steps fail, the application has to reprocess the record from the beginning The company wants to update the architecture so that the application must reprocess only the failed steps.
What is the MOST operationally efficient solution that meets these requirements?

A. Create a web application to write records to Amazon S3 Use S3 Event Notifications to publish to an Amazon Simple Notification Service (Amazon SNS) topic Use an EC2 instance to poll Amazon SNS and start processing Save intermediate results to Amazon S3 to pass on to the next step
B. Create a web application to pass records to an Amazon Kinesis data stream. Decouple the processing by using the Kinesis data stream and AWS Lambda functions.
C. Perform the processing steps by using logic in the application. Convert the application code to run in a container. Use AWS Fargate to manage the container Instances. Configure the container to invoke itself to pass the state from one step to the next.
D. Create a web application to pass records to AWS Step Functions. Decouple the processing into Step Functions tasks and AWS Lambda functions.

正解：D

解説：
Use AWS Step Functions to Orchestrate Processing:
* AWS Step Functions allow you to build distributed applications by combining AWS Lambda functions or other AWS services into workflows.
* Decoupling the processing into Step Functions tasks enables you to retry individual steps without reprocessing the entire record.
Architectural Steps:
* Create a web applicationto pass records to AWS Step Functions:
* The web application can be a simple frontend that receives input and triggers the Step Functions workflow.
* Define a Step Functions state machine:
* Each step in the state machine represents a processing stage. If a step fails, Step Functions can retry the step based on defined conditions.
* Use AWS Lambda functions:
* Lambda functions can be used to handle each processing step. These functions can be stateless and handle specific tasks, reducing the complexity of error handling and reprocessing logic.
Operational Efficiency:
* Using Step Functions and Lambda improves operational efficiency by providing built-in error handling, retries, and state management.
* This architecture scales automatically and isolates failures to individual steps, ensuring only failed steps are retried.
References:
* AWS Step Functions
* Building Workflows with Step Functions

質問 # 361
......

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