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NEW QUESTION: 1
プロジェクトのスケジュールを作成している間、プロジェクトマネージャは次のタスクを順序付けしようとしています。

次のうち、上記の作業の正しい順序はどれですか？
A. F, A, B, C, E, D
B. F, C, A, E, B, D
C. D, B, E, F, C, A
D. F, E, C, B, A, D
Answer: D

NEW QUESTION: 2

A. single root I/O virtualization (SR-IOV)
B. Remote Direct Memory Access (RDMA)
C. Multipath I/O (MPIO)
D. virtual machine queue (VMQ)
Answer: B
Explanation:
Explanation
https://technet.microsoft.com/en-us/library/jj134210%28v=ws.11%29.aspx?f=255&MSPPError=-2147217396

NEW QUESTION: 3
A Developer has implemented a Lambda function that needs to add new customers to an RDS database that is expected to run hundreds of times per hour. The Lambda function is configured to use 512MB of RAM and is based on the following pseudo code:

After testing the Lambda function, the Developer notices that the Lambda execution time is much longer than expected. What should the Developer do to improve performance?
A. Move the database connection and close statement out of the handler. Place the connection in the global space.
B. Increase the size of the RDS database to allow for an increased number of database connections each hour.
C. Replace RDS wit Amazon DynamoDB to implement control over the number of writes per second.
D. Increase the amount of RAM allocated to the Lambda function, which will increase the number of threads the Lambda can use.
Answer: A
Explanation:
Explanation
Refer AWS documentation - Lambda Best Practices
Take advantage of Execution Context reuse to improve the performance of your function. Make sure any externalized configuration or dependencies that your code retrieves are stored and referenced locally after initial execution. Limit the re-initialization of variables/objects on every invocation. Instead use static initialization/constructor, global/static variables and singletons. Keep alive and reuse connections (HTTP, database, etc.) that were established during a previous invocation.

NEW QUESTION: 4
솔루션 아키텍트는 온 프레미스 데이터 처리 애플리케이션을 AWS 클라우드로 마이그레이션하는 방법에 대해 회사에 조언해야 합니다. 현재 사용자는 포털을 통해 입력 파일을 업로드 합니다. 그런 다음 웹 서버는 업로드 된 타일을 NAS에 저장하고 메시지 대기열을 통해 처리 서버에 메시지를 보냅니다. 각 미디어 파일은 처리하는 데 최대 1 시간이 걸릴 수 있습니다. 이 회사는 처리 대기중인 미디어 파일의 수가 업무 시간 동안 크게 높아지고 업무 시간 후에는 파일 수가 급격히 줄어드는 것을 확인했습니다.
가장 비용 효율적인 마이그레이션 권장 사항은 무엇입니까?
A. Amazon MQ를 사용하여 대기열 생성 새 대기열에 게시하도록 기존 웹 서버 구성 대기열에 메시지가 있을 때 AWS Lambda 함수를 호출하여 대기열에서 요청을 가져 와서 파일을 처리합니다. 처리 된 파일을 Amazon에 저장 EFS
B. Amazon SQS를 사용하여 대기열 생성 기존 웹 서버가 새 대기열에 게시하도록 구성 EC2 Auto Seating 그룹의 Amazon EC2 인스턴스를 사용하여 대기열에서 요청을 가져오고 파일을 처리합니다. SQS 대기열을 기반으로 EC2 인스턴스 크기 조정 처리 된 파일을 Amazon S3 버킷에 저장
C. Amazon MQ를 사용하여 대기열 생성 새 대기열에 게시하도록 기존 웹 서버 구성 대기열에 메시지가 있는 경우 대기열에서 요청을 가져 와서 파일을 처리 할 새 Amazon EC2 인스턴스를 생성합니다. 처리 된 파일을 Amazon EPS 작업 완료 후 EC2 인스턴스 종료
D. Amazon SQS를 사용하여 대기열 생성 새 대기열에 게시하도록 기존 웹 서버 구성 대기열에 메시지가 있는 경우 AWS Lambda를 호출합니다 (큐에서 요청을 가져 와서 파일을 처리하는 기능을 사용하여 처리됨) 아마존 S3 버킷
Answer: A