DVA-C02シュミレーション問題集 & DVA-C02技術問題

2026年ShikenPASSの最新DVA-C02 PDFダンプおよびDVA-C02試験エンジンの無料共有：https://drive.google.com/open?id=16Oa_-u1vkxhONmAp88Bw0bHSs5zqYg_z

当社ShikenPASS、DVA-C02学習教材の新しいバージョンのリリースに成功しました。おそらく、DVA-C02試験の準備に深く悩まされているでしょう。これで、DVA-C02学習教材の助けを借りて、完全にリラックスした気分になれます。当社の製品は信頼性が高く優れています。さらに、当社のDVA-C02学習教材の合格率は市場で最高です。 DVA-C02学習教材を購入することは、あなたが半分成功したことを意味します。 DVA-C02試験に初めて合格する場合、適切な決定は非常に重要です。

Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Development with AWS Services32%- Interact with AWS data services
  • 1. Implement caching and data storage strategies
  • 2. Work with Amazon DynamoDB, Amazon S3
- Integrate AWS services into applications
  • 1. Use AWS Lambda, API Gateway, Amazon EventBridge
  • 2. Implement messaging and event-driven workflows
- Write code for applications hosted on AWS
  • 1. Develop serverless applications
  • 2. Implement architectural patterns
  • 3. Use AWS SDKs and APIs
Troubleshooting and Optimization18%- Troubleshoot application issues
  • 1. Analyze logs, metrics, and traces
  • 2. Use Amazon CloudWatch, AWS X-Ray for monitoring
- Debug and resolve errors
  • 1. Resolve integration and configuration problems
  • 2. Identify and fix code defects
- Optimize application performance
  • 1. Optimize resource usage and costs
  • 2. Improve latency and throughput
Security26%- Implement authentication and authorization
  • 1. Manage IAM roles, policies, and permissions
  • 2. Use Amazon Cognito for identity management
- Secure application data
  • 1. Manage secrets and credentials securely
  • 2. Implement encryption at rest and in transit
- Apply security best practices
  • 1. Follow AWS Well-Architected Framework security principles
  • 2. Validate application security configurations
Deployment24%- Implement CI/CD pipelines
  • 1. Automate deployment and testing workflows
  • 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
- Prepare application artifacts for deployment
  • 1. Use infrastructure as code (AWS CloudFormation, AWS SAM)
  • 2. Package code and dependencies
- Deploy applications on AWS
  • 1. Perform safe updates and rollbacks
  • 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk

>> DVA-C02シュミレーション問題集 <<

効果的-真実的なDVA-C02シュミレーション問題集試験-試験の準備方法DVA-C02技術問題

あるAmazonのDVA-C02テストトレントに関しては、ShikenPASSのDVA-C02ガイドトレントが有効であるかどうかを示す最も強力な証拠となるのはパスレートのみであるため、パスレートが最高の広告になるというのが常識です。 有用かどうか。 すべてのお客様のフィードバックからの統計によると、DVA-C02テストトレントの指導の下で試験を準備したお客様の間でのDVA-C02試験問題のAWS Certified Developer - Associate合格率は、 98％から100％に達しました。

Amazon AWS Certified Developer - Associate 認定 DVA-C02 試験問題 (Q287-Q292):

質問 # 287
A developer created an AWS Lambda function to process data in an application. The function pulls large objects from an Amazon S3 bucket, processes the data, and loads the processed data into a second S3 bucket. Application users have reported slow response times. The developer checks the logs and finds that Lambda function invocations run much slower than expected. The function itself is simple and has a small deployment package. The function initializes quickly. The developer needs to improve the performance of the application. Which solution will meet this requirement with the LEAST operational overhead?

正解：C

解説：
Configuring the Lambda function to use ephemeral storage and processing data in the /tmp directory improves performance by leveraging local storage during execution.
Why Option C is Correct:
Ephemeral Storage: Lambda provides temporary storage (up to 10 GB) in the /tmp directory for each invocation, which is faster than pulling data directly from S3 multiple times.
Performance Boost: Data can be downloaded to /tmp, processed locally, and uploaded to the destination S3 bucket, minimizing S3 network calls.
Low Overhead: This approach requires only minimal changes to the function's configuration.
Why Not Other Options:
Option A: Using Amazon EFS adds complexity and is unnecessary for this use case.
Option B: Scheduling the function does not address the root cause of slow performance.
Option D: Lambda layers improve deployment efficiency, not runtime performance for this scenario.
Reference:
Using Ephemeral Storage in AWS Lambda
Best Practices for S3 and Lambda Performance


質問 # 288
A developer is migrating an application to Amazon Elastic Kubernetes Service (Amazon EKS). The developer migrates the application to Amazon Elastic Container Registry (Amazon ECR) with an EKS cluster.
As part of the application migration to a new backend, the developer creates a new AWS account. The developer makes configuration changes to the application to point the application to the new AWS account and to use new backend resources. The developer successfully tests the changes within the application by deploying the pipeline.
The Docker image build and the pipeline deployment are successful, but the application is still connecting to the old backend. The developer finds that the application's configuration is still referencing the original EKS cluster and not referencing the new backend resources.
Which reason can explain why the application is not connecting to the new resources?

正解：D

解説：
Explanation
The correct answer is C. The developer did not update the Docker image tag to a new version.
C: The developer did not update the Docker image tag to a new version. This is correct. When deploying an application to Amazon EKS, the developer needs to specify the Docker image tag that contains the application code and configuration. If the developer does not update the Docker image tag to a new version after making changes to the application, the EKS cluster will continue to use the old Docker image tag that references the original backend resources. To fix this issue, the developer should update the Docker image tag to a new version and redeploy the application to the EKS cluster.
A: The developer did not successfully create the new AWS account. This is incorrect. The creation of a new AWS account is not related to the application's connection to the backend resources. The developer can use any AWS account to host the EKS cluster and the backend resources, as long as they have the proper permissions and configurations.
B: The developer added a new tag to the Docker image. This is incorrect. Adding a new tag to the Docker image is not enough to deploy the changes to the application. The developer also needs to update the Docker image tag in the EKS cluster configuration, so that the EKS cluster can pull and run the new Docker image.
D: The developer pushed the changes to a new Docker image tag. This is incorrect. Pushing the changes to a new Docker image tag is not enough to deploy the changes to the application. The developer also needs to update the Docker image tag in the EKS cluster configuration, so that the EKS cluster can pull and run the new Docker image.
References:
1: Amazon EKS User Guide, "Deploying applications to your Amazon EKS cluster",
https://docs.aws.amazon.com/eks/latest/userguide/deploying-applications.html
2: Amazon ECR User Guide, "Pushing an image",
https://docs.aws.amazon.com/AmazonECR/latest/userguide/docker-push-ecr-image.html
3: Amazon EKS User Guide, "Updating an Amazon EKS cluster",
https://docs.aws.amazon.com/eks/latest/userguide/update-cluster.html


質問 # 289
A company is running a custom web application on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group. The company's development team is using AWS CloudFormation to deploy all the services. The application is time-consuming to install and configure when the development team launches a new instance.
Which combination of steps should a developer take to optimize the performance when a new instance is launched? (Select TWO.)

正解：A、D

解説：
To reduce the time it takes for new Auto Scaling instances to become ready, the most effective optimization is to bake the time-consuming installation and configuration steps into a custom AMI. By creating a prebuilt AMI that already contains the application binaries, dependencies, and baseline configuration, new instances start from an image that is already near "ready to serve." This minimizes lengthy bootstrapping and significantly shortens the time required to pass ALB health checks and enter service. Therefore, creating a prebuilt AMI (B) is a primary performance optimization for faster scaling events and lower deployment variability.
After creating the AMI, the Auto Scaling group must actually use it. Because the infrastructure is managed with AWS CloudFormation, the developer should update the launch template resource (or launch configuration equivalent) in the CloudFormation template to reference the new AMI ID. This ensures that all newly launched instances use the optimized image consistently and that the change is tracked and repeatable as part of infrastructure as code. That is option C.
The other options are less optimal for the stated goal. Installing and configuring the app at launch time via Systems Manager Run Command (D) or CloudFormation helper scripts (E) still performs the expensive work during instance initialization, which prolongs launch time and can create variance (for example, dependency download time, repo availability, or transient network slowness). Option A (Marketplace AMI) could help only if a suitable prebuilt image exists for the exact custom application-which is unlikely for a proprietary application-and it also reduces control over the build and hardening process compared to maintaining an internal golden AMI.
Therefore, the best combination is B (bake the app into a custom AMI) and C (update the CloudFormation- managed launch template to use that AMI).


質問 # 290
A company has an AWS Step Functions state machine named myStateMachine. The company configured a service role for Step Functions. The developer must ensure that only the myStateMachine state machine can assume the service role.
Which statement should the developer add to the trust policy to meet this requirement?

正解：B

解説：
Comprehensive Detailed Explanation with all AWS References
* Why Option A is Correct:
* The ArnLike condition with the specific ARN for myStateMachine ensures that only this state machine can assume the role. The format urn:aws:states is correct for specifying Step Functions resources.
* Why Other Options are Incorrect:
* Option B: Wildcards (*) in the ARN allow more resources to assume the role, which violates the requirement.
* Option C: This condition restricts the account but not the specific state machine.
* Option D: A StringNotEquals condition is used to deny specific values, which does not ensure exclusivity for the desired state machine.
* AWS Documentation References:
* IAM Trust Policies for Step Functions


質問 # 291
A set of APIs are exposed to customers using the Amazon API Gateway. These APIs have caching enabled on the API Gateway. Customers have asked for an option to invalidate this cache for each of the APIs.
What action can be taken to allow API customers to invalidate the API Cache?

正解：D

解説：
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-caching.html Invalidate an API Gateway Cache Entry A client of your API can invalidate an existing cache entry and reload it from the integration endpoint for individual requests. The client must send a request that contains the Cache-Control:
max-age=0 header. The client receives the response directly from the integration endpoint instead of the cache, provided that the client is authorized to do so. This replaces the existing cache entry with the new response, which is fetched from the integration endpoint.
To grant permission for a client, attach a policy of the following format to an IAM execution role for the user.


質問 # 292
......

ShikenPASSは長い歴史を持っているAmazonのDVA-C02トレーニング資料が提供されるサイトです。IT領域で長い時間に存在していますから、現在のよく知られていて、知名度が高い状況になりました。これは受験生の皆様を助けた結果です。ShikenPASSが提供したAmazonのDVA-C02トレーニング資料は問題と解答に含まれていて、IT技術専門家たちによって開発されたものです。AmazonのDVA-C02認定試験を受けたいのなら、ShikenPASSを選ぶのは疑いないことです。

DVA-C02技術問題: https://www.shikenpass.com/DVA-C02-shiken.html

さらに、ShikenPASS DVA-C02ダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=16Oa_-u1vkxhONmAp88Bw0bHSs5zqYg_z