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NEW QUESTION: 1
What are the contents of a scheduler?
A. A scheduler contains traffic that is ready to be transmitted.
B. A scheduler contains parameters that describe how a queue should be serviced.
C. A scheduler contains forwarding classes that allow traffic to be forwarded.
D. A scheduler contains a map between the classification of a packet and its forwarding class.
Answer: B

NEW QUESTION: 2
개발중인 새로운 솔루션에 대한 최신 결과물을 시연하는 동안 공급 업체는 클라이언트에게 고객의 요구를 보다 잘 충족시키고 프로젝트 결과를 개선 할 수있는 새로운 소프트웨어 모듈을 보여주었습니다. 작업 (SOW), 미화 2 만 달러, 22,000 달러의 테스트 작업 불필요 클라이언트는 새로운 모듈을 갖기로 결정했습니다. 프로젝트 관리자는 어떻게 진행해야 합니까 1?
A. 공급 업체로부터이 변경을 시작하고 스폰서에게 비용 절감에 대해 알리십시오.
B. 변경 요청을 시작하고 공급 업체에게 고객이 진행하길 원한다고 알리십시오 (승인 대상)
C. 공급 업체와 조달 계획이 일치하지 않아 변경할 수 없음을 공급 업체에 알립니다.
D. 공급 업체에게 새 모듈을 진행하라고 지시합니다. 비용이 저렴하고 일정에 영향을 미치지 않기 때문입니다.
Answer: B

NEW QUESTION: 3
PostgreSQL 용 Amazon RDS에서는 데이터베이스 인스턴스 당 최대 3TB 스토리지와 30,000 IOPS를 프로비저닝 할 수 있습니다. cr1.8xlarge 인스턴스에서 50 % 쓰기 및 50 % 읽기를 실행하는 워크로드의 경우 PostgreSQL에 대해 25,000 개 이상의 IOPS를 실현할 수 있습니다. 그러나이 제한을 초과하여 프로비저닝하면 다음을 달성 할 수 있습니다.
A. 대기 시간 단축 및 처리량 향상
B. 대기 시간이 길다.
C. 더 높은 처리량 만.
D. 대기 시간 증가 및 처리량 감소
Answer: A
Explanation:
설명:
데이터베이스 인스턴스 당 최대 3TB 스토리지 및 30,000 IOPS를 프로비저닝 할 수 있습니다. cr1.8xlarge 인스턴스에서 50 % 쓰기 및 50 % 읽기를 실행하는 워크로드의 경우 PostgreSQL에 대해 25,000 개 이상의 IOPS를 실현할 수 있습니다. 그러나이 제한을 초과하여 프로비저닝하면 대기 시간이 단축되고 처리량이 높아질 수 있습니다. 실제로 실현 된 IOPS는 데이터베이스 워크로드, 인스턴스 유형 및 데이터베이스 엔진 선택에 따라 프로비저닝 한 양과 다를 수 있습니다.
https://aws.amazon.com/rds/postgresql/

NEW QUESTION: 4
A company that tracks medical devices wants to migrate its existing storage solution to the AWS Cloud. The company equips all of its devices with sensors that collect location and usage information. The sensor data is sent tin unpredictable patterns with large spikes.
The data is stored in a MySQL database running on premises at each hospital. The company wants the cloud storage solution to scale with usage.
The company's analytics team uses the sensor data to calculate usage by device type and hospital. The learn needs to keep analysis tools running locally while fetching data from the cloud. The team also needs to use existing Java application and SQL queries with as few changes as possible.
How should a solutions architect meet these requirements while ensuring the sensor data is secure?
A. Store the data in an Amazon Aurora Serverless database. Serve the data through the Aurora Data API using an IAM use authorized with AWS locality and Access Management (IAM) and the AWS Secrets Manager ARN
B. Store the data in an Amazon S3 bucket Serve the data through Amazon QuickSight using an IAM user authorized with AWS ldentity and Access Management (IAM) win the S3 bucket as the data source
C. Store the data in an Amazon S3 bucket Serve the data through Amazon Athena using AWS PrivateLink to secure the data in transit
D. Store the data in an Amazon Aurora Serverless database. Server the data through a Network Load Balancer (NLB). Authenticate users using me NLB with credentials stored in AWS Secrets Manager.
Answer: B