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[General] SAP-C02 Deutsche Prüfungsfragen, SAP-C02 Zertifikatsfragen

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【General】 SAP-C02 Deutsche Prüfungsfragen, SAP-C02 Zertifikatsfragen

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) SAP-C02 Prüfungsfragen mit Lösungen (Q494-Q499):494. Frage
A solutions architect needs to advise a company on how to migrate its on-premises data processing application to the AWS Cloud. Currently, users upload input files through a web portal. The web server then stores the uploaded files on NAS and messages the processing server over a message queue. Each media file can take up to 1 hour to process. The company has determined that the number of media files awaiting processing is significantly higher during business hours, with the number of files rapidly declining after business hours.
What is the MOST cost-effective migration recommendation?
  • A. Create a queue using Amazon SQS. Configure the existing web server to publish to the new queue.
    When there are messages in the queue, invoke an AWS Lambda function to pull requests from the queue and process the files. Store the processed files in an Amazon S3 bucket.
  • B. Create a queue using Amazon SOS. Configure the existing web server to publish to the new queue. Use Amazon EC2 instances in an EC2 Auto Scaling group to pull requests from the queue and process the files. Scale the EC2 instances based on the SOS queue length. Store the processed files in an Amazon S3 bucket.
  • C. Create a queue using Amazon MO. Configure the existing web server to publish to the new queue.
    When there are messages in the queue, invoke an AWS Lambda function to pull requests from the queue and process the files. Store the processed files in Amazon EFS.
  • D. Create a queue using Amazon M. Configure the existing web server to publish to the new queue. When there are messages in the queue, create a new Amazon EC2 instance to pull requests from the queue and process the files. Store the processed files in Amazon EFS. Shut down the EC2 instance after the task is complete.
Antwort: B
Begründung:
Explanation
https://aws.amazon.com/blogs/com ... ptimization-part-1/

495. Frage
The company needs to determine which costs on the monthly AWS bill are attributable to each application or team. The company also must be able to create reports to compare costs from the last 12 months and to help forecast costs for the next 12 months. A solutions architect must recommend an AWS Billing and Cost Management solution that provides these cost reports.
Which combination of actions will meet these requirements? (Select THREE.)
  • A. Activate IAM access to Billing and Cost Management.
  • B. Create a cost budget.
  • C. Activate the user-defined cost allocation tags that represent the application and the team.
  • D. Enable Cost Explorer.
  • E. Create a cost category for each application in Billing and Cost Management.
  • F. Activate the AWS generated cost allocation tags that represent the application and the team.
Antwort: C,D,E
Begründung:
Explanation
https://docs.aws.amazon.com/awsa ... ost-categories.html
https://aws.amazon.com/premiumsu ... spending-and-usage/
https://docs.aws.amazon.com/awsa ... ost-categories.html
https://docs.aws.amazon.com/cost ... uide/ce-enable.html

496. Frage
A company is using Amazon API Gateway to deploy a private REST API that will provide access to sensitive data. The API must be accessible only from an application that is deployed in a VPC.
The company deploys the API successfully. However, the API is not accessible from an Amazon EC2 instance that is deployed in the VPC.
Which solution will provide connectivity between the EC2 instance and the API?
  • A. Create an interface VPC endpoint for API Gateway. Attach an endpoint policy that allows apigateway:* actions. Disable private DNS naming for the VPC endpoint. Configure an API resource policy that allows access from the VPC. Use the VPC endpoint's DNS name to access the API.
  • B. Create a Network Load Balancer (NLB) and a VPC link. Configure private integration between API Gateway and the NLB. Use the API endpoint's DNS names to access the API.
  • C. Create an Application Load Balancer (ALB) and a VPC Link. Configure private integration between API Gateway and the ALB. Use the ALB endpoint's DNS name to access the API.
  • D. Create an interface VPC endpoint for API Gateway. Attach an endpoint policy that allows the execute-api:Invoke action. Enable private DNS naming for the VPC endpoint. Configure an API resource policy that allows access from the VPC endpoint. Use the API endpoint's DNS names to access the API.
Antwort: D

497. Frage
A global company runs an analytics application on Amazon EC2 for computing. The company uses Amazon EBS as primary storage for raw and processed data. Users manually upload raw data daily to Amazon EC2 by using SSH from a local on-premises storage computer. The analytics application processes the data and a user manually uploads the data to Amazon S3 for long-term storage.
The company wants to containerize the processing logic and migrate the processing logic to Amazon EKS.
The company needs an automated solution to upload and move the processed data. The solution must have multiprotocol support and be usable from the EKS cluster.
Which solution meets these requirements with the LEAST operational effort?
  • A. Use AWS DataSync to copy raw data to Amazon FSx for NetApp ONTAP. Mount FSx for NetApp ONTAP on Amazon EKS as a volume. Use AWS Transfer for SFTP to copy processed data from FSx for NetApp ONTAP to Amazon S3.
  • B. Use AWS DataSync to copy raw data to Amazon EFS. Mount Amazon EFS on Amazon EKS as a volume. Use AWS Transfer for SFTP to copy processed data from Amazon EFS to Amazon S3.
  • C. Use AWS DataSync to copy raw data to Amazon FSx for NetApp ONTAP. Mount FSx for NetApp ONTAP on Amazon EKS as a volume. Use DataSync to copy processed data from FSx for NetApp ONTAP to Amazon S3.
  • D. Use AWS DataSync to copy raw data to Amazon FSx for Lustre. Mount FSx for Lustre on Amazon EKS as a volume. Use DataSync to copy processed data from FSx for Lustre to Amazon S3.
Antwort: C
Begründung:
This explanation is based on AWS documentation and best practices but is paraphrased, not a literal extract.
The company wants to move from a manual EC2 and EBS-based workflow to a containerized application on Amazon EKS and automate data movement. The solution must:
* Support automated transfer of raw and processed data.
* Offer multiprotocol support.
* Be directly usable from the EKS cluster as a mounted volume.
* Minimize operational effort by using managed services where possible.
AWS DataSync is a managed service designed to move data between on-premises storage and AWS storage services or between AWS storage services. It can perform scheduled or continuous transfers with minimal operational overhead. For storage accessible from Amazon EKS, a shared file system that supports mounting as a volume is appropriate.
Amazon FSx for NetApp ONTAP provides a fully managed file system with multiprotocol support, including NFS and SMB, and supports features such as snapshots and storage efficiencies. Because it supports multiple protocols, it satisfies the requirement for multiprotocol access and can be mounted by applications running in Amazon EKS using standard Kubernetes persistent volume mechanisms.
In the correct solution (option C), DataSync is used to copy raw data from the on-premises environment to FSx for NetApp ONTAP. The FSx for NetApp ONTAP file system is then mounted as a volume in the EKS cluster, allowing the containerized analytics processing logic to read and write data directly. After processing, DataSync is again used to copy processed data from FSx for NetApp ONTAP to Amazon S3 for long-term storage. This leverages DataSync's native integration with both FSx for NetApp ONTAP and Amazon S3, and avoids the need to run or manage custom upload tooling.
Option A uses Amazon EFS, which supports NFS but does not provide multiprotocol support (for example, SMB), so it does not fully meet the multiprotocol requirement. It also introduces AWS Transfer for SFTP for the processed data upload, which adds an additional managed endpoint and SFTP-based flow, increasing complexity relative to using DataSync end-to-end.
Option B uses Amazon FSx for Lustre, which is optimized for high-performance compute workloads and integrates well with S3, but it is not a multiprotocol file system and is typically accessed via NFS. It does not meet the stated multiprotocol requirement.
Option D uses FSx for NetApp ONTAP (which supports multiprotocol) but relies on AWS Transfer for SFTP to move processed data to S3. While this can work, it adds another managed input endpoint and requires SFTP client configuration and management. Using DataSync directly from FSx for NetApp ONTAP to Amazon S3 (as in option C) is more straightforward, better suited for automated large-scale transfers, and involves less operational overhead.
Therefore, option C meets all the requirements with the least operational effort by using DataSync with FSx for NetApp ONTAP and S3.
References:AWS documentation on AWS DataSync for automated, scheduled data transfers between on- premises storage, FSx file systems, and Amazon S3.AWS documentation on Amazon FSx for NetApp ONTAP including its multiprotocol support (NFS and SMB) and integration with Kubernetes and Amazon EKS.

498. Frage
A company is currently using AWS CodeCommit for its source control and AWS CodePipeline for continuous integration. The pipeline has a build stage for building the artifacts, which is then staged in an Amazon S3 bucket.
The company has identified various improvement opportunities in the existing process and a solutions architect has been given the following requirements
* Create a new pipeline to support feature development
* Support feature development without impacting production applications
* Incorporate continuous testing with unit tests
* Isolate development and production artifacts
* Support the capability to merge tested code into production code
How should the solutions architect achieve these requirements?
  • A. Trigger a separate pipeline from CodeCommit feature branches Use AWS CodeBuild for running unit tests Use CodeBuild to stage the artifacts within an S3 bucket in a separate testing account
  • B. Trigger a separate pipeline from CodeCommit tags Use Jenkins for running unit tests Create a stage in the pipeline with S3 as the target for staging the artifacts within an S3 bucket in a separate testing account.
  • C. Trigger a separate pipeline from CodeCommit feature branches Use AWS Lambda for running unit tests Use AWS CodeDeploy to stage the artifacts within an S3 bucket in a separate testing account
  • D. Create a separate CodeCommit repository for feature development and use it to trigger the pipeline Use AWS Lambda for running unit tests Use AWS CodeBuild to stage the artifacts within different S3 buckets in the same production account
Antwort: A

499. Frage
......
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