Amazon DVA-C02日本語問題集 & DVA-C02トレーリング学習

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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment	24%	- Implement CI/CD pipelines 1. Automate deployment and testing workflows 2. Use AWS CodePipeline, CodeBuild, CodeDeploy - Deploy applications on AWS 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk 2. Perform safe updates and rollbacks - Prepare application artifacts for deployment 1. Package code and dependencies 2. Use infrastructure as code (AWS CloudFormation, AWS SAM)
Topic 2: Troubleshooting and Optimization	18%	- Troubleshoot application issues 1. Use Amazon CloudWatch, AWS X-Ray for monitoring 2. Analyze logs, metrics, and traces - Optimize application performance 1. Improve latency and throughput 2. Optimize resource usage and costs - Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems
Topic 3: Development with AWS Services	32%	- Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows - Interact with AWS data services 1. Work with Amazon DynamoDB, Amazon S3 2. Implement caching and data storage strategies - Write code for applications hosted on AWS 1. Implement architectural patterns 2. Use AWS SDKs and APIs 3. Develop serverless applications
Topic 4: Security	26%	- Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management - Apply security best practices 1. Validate application security configurations 2. Follow AWS Well-Architected Framework security principles - Secure application data 1. Implement encryption at rest and in transit 2. Manage secrets and credentials securely

>> Amazon DVA-C02日本語問題集 <<

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Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q879-Q884):

質問 # 879
A company has an Amazon S3 bucket containing premier content that it intends to make available to only paid subscribers of its website. The S3 bucket currently has default permissions of all objects being private to prevent inadvertent exposure of the premier content to non-paying website visitors.
How can the company Limit the ability to download a premier content file in the S3 Bucket to paid subscribers only?

A. Enable server-side encryption on the S3 bucket for data protection against the non-paying website visitors.
B. Apply a bucket policy that allows anonymous users to download the content from the S3 bucket.
C. Add a Docket policy that requires multi-factor authentication for request to access the S3 bucket objects.
D. Generate a pre-signed object URL for the premier content file when a pad subscriber requests a download.

正解：D

解説：
This solution will limit the ability to download a premier content file in the S3 bucket to paid subscribers only because it uses a pre-signed object URL that grants temporary access to an S3 object for a specified duration. The pre-signed object URL can be generated by the company's website when a paid subscriber requests a download, and can be verified by Amazon S3 using the signature in the URL. Option A is not optimal because it will allow anyone to download the content from the S3 bucket without verifying their subscription status. Option C is not optimal because it will require additional steps and costs to configure multi-factor authentication for accessing the S3 bucket objects, which may not be feasible or user-friendly for paid subscribers. Option D is not optimal because it will not prevent non-paying website visitors from accessing the S3 bucket objects, but only encrypt them at rest.

質問 # 880
An application that runs on AWS Lambda requires access to specific highly confidential objects in an Amazon S3 bucket. In accordance with the principle of least privilege a company grants access to the S3 bucket by using only temporary credentials.
How can a developer configure access to me S3 bucket in the MOST secure way?

A. Hardcode the credentials that are required to access the S3 objects in the application code. Use the credentials to access me required S3 objects.
B. Create a secret access key and access key ID with permission to access the S3 bucket. Store the key and key ID in AWS Secrets Manager. Configure the application to retrieve the Secrets Manager secret and use the credentials to access me S3 objects.
C. Create a secret access key and access key ID with permission to access the S3 bucket Store the key and key ID as environment variables m Lambda. Use the environment variables to access the required S3 objects.
D. Create a Lambda function execution role Attach a policy to the rote that grants access to specific objects in the S3 bucket.

正解：D

解説：
Explanation
This solution will meet the requirements by creating a Lambda function execution role, which is an IAM role that grants permissions to a Lambda function to access AWS resources such as Amazon S3 objects. The developer can attach a policy to the role that grants access to specific objects in the S3 bucket that are required by the application, following the principle of least privilege. Option A is not optimal because it will hardcode the credentials that are required to access S3 objects in the application code, which is insecure and difficult to maintain. Option B is not optimal because it will create a secret access key and access key ID with permission to access the S3 bucket, which will introduce additional security risks and complexity for storing and managing credentials. Option D is not optimal because it will store the secret access key and access key ID as environment variables in Lambda, which is also insecure and difficult to maintain.
References: [AWS Lambda Execution Role], [Using AWS Lambda with Amazon S3]

質問 # 881
A developer is deploying an application on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS Fargate. The developer is using a Docker container with an Ubuntu image.
The developer needs to implement a solution to store application data that is available from multiple ECS tasks. The application data must remain accessible after the container is terminated.
Which solution will meet these requirements?

A. Create an Amazon Elastic Block Store (Amazon EBS) volume. Specify the mount point configuration in the ECS task definition.
B. Attach an Amazon FSx for Windows File Server volume to the container definition.
C. Create an Amazon Elastic File System (Amazon EFS) file system. Specify the mountPoints attribute and the efsVolumeConfiguration attribute in the ECS task definition.
D. Specify the DockerVolumeConfiguration parameter in the ECS task definition to attach a Docker volume.

正解：C

質問 # 882
A developer is using AWS Step Functions to automate a workflow The workflow defines each step as an AWS Lambda function task The developer notices that runs of the Step Functions state machine fail in the GetResource task with either an UlegalArgumentException error or a TooManyRequestsException error The developer wants the state machine to stop running when the state machine encounters an UlegalArgumentException error. The state machine needs to retry the GetResource task one additional time after 10 seconds if the state machine encounters a TooManyRequestsException error. If the second attempt fails, the developer wants the state machine to stop running.
How can the developer implement the Lambda retry functionality without adding unnecessary complexity to the state machine'?

A. Add a catcher to the GetResource task Configure the catcher with an error type of TooManyRequestsException. an interval of 10 seconds, and a maximum attempts value of 1. Configure the next step to be the GetResource task.
B. Duplicate the GetResource task Rename the new GetResource task to TryAgain Add a catcher to the original GetResource task Configure the catcher with an error type of TooManyRequestsException.Configure the next step to be TryAgain.
C. Add a retrier to the GetResource task Configure the retrier with an error type of TooManyRequestsException, an interval of 10 seconds, and a maximum attempts value of 1.
D. Add a Delay task after the GetResource task. Add a catcher to the GetResource task. Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be the Delay task Configure the Delay task to wait for an interval of 10 seconds Configure the next step to be the GetResource task.

正解：C

解説：
* Step Functions Retriers:Retriers provide a built-in way to gracefully handle transient errors within State Machines. Here's how to use them:
* Directly attach a retrier to the problematic 'GetResource' task.
* Configure the retrier:
* ErrorEquals: Set this to ['TooManyRequestsException'] to target the specific error.
* IntervalSeconds: Set to 10 for the desired retry delay.
* MaxAttempts: Set to 1, as you want only one retry attempt.
* Error Handling:
* Upon 'TooManyRequestsException', the retrier triggers the task again after 10 seconds.
* On a second failure, Step Functions moves to the next state or fails the workflow, as per your design.
* 'IllegalArgumentException' causes error propagation as intended.

質問 # 883
A company uses AWS CloudFormation to deploy an application that includes an Amazon API Gateway REST API integrated with AWS Lambda and Amazon DynamoDB. The application has three stages:
development, testing, and production, each with its own DynamoDB table.
The company wants to deploy a new production release and route 20% of traffic to the new version while keeping 80% of traffic on the existing production version. The solution must minimize the number of errors that any single customer experiences.
Which approach should the developer take?

A. Configure canary deployment settings for the production API stage and route 20% of traffic to the canary.
B. Deploy an Application Load Balancer in front of the API Gateway stages and weight traffic.
C. Use Amazon Route 53 weighted routing between the production and testing stages.
D. Deploy incremental portions of the changes to production in multiple steps.

正解：A

解説：
Amazon API Gateway supports canary deployments, which are designed specifically for controlled production rollouts. Canary deployments allow a developer to direct a configurable percentage of traffic to a new deployment while the remainder continues to use the existing deployment.
AWS documentation states that canary releases help minimize customer impact by exposing only a subset of users to potential issues. Because the routing is request-based, individual users are less likely to encounter inconsistent behavior across multiple requests.
Route 53 weighted routing (Option B) operates at the DNS level and can result in users being routed unpredictably due to DNS caching. An Application Load Balancer (Option C) is not supported as a direct frontend for API Gateway stages and adds unnecessary complexity. Option A lacks traffic control guarantees.
Therefore, configuring a canary deployment on the production stage is the AWS-recommended and lowest- risk approach.

質問 # 884
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