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NEW QUESTION: 1
You need to scale an RDS deployment. You are operating at 10% writes and 90% reads, based on your logging. How best can you scale this in a simple way?
A. Create a Multi-AZ RDS installs and route read traffic to standby.
B. Create read replicas for RDS since the load is mostly reads.
C. Cache all the database responses on the read side with CloudFront.
D. Create a second master RDS instance and peer the RDS groups.
Answer: B
Explanation:
Explanation
Amazon RDS Read Replicas provide enhanced performance and durability for database (DB) instances. This replication feature makes it easy to elastically scale out beyond the capacity constraints of a single DB Instance for read-heavy database workloads. You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput. Read replicas can also be promoted when needed to become standalone DB instances.
Option A is invalid because you would need to maintain the synchronization yourself with a secondary instance.
Option B is invalid because you are introducing another layer unnecessarily when you already have read replica's Option D is invalid because you only use this for Standy's For more information on Read Replica's, please refer to the below link:
* https://aws.amazon.com/rds/details/read-replicas/

NEW QUESTION: 2
회사는 현재 소스 제어에 AWS CodeCommit을 사용하고 지속적인 통합을 위해 AWS CodePipeline을 사용하고 있습니다. 파이프 라인에는 아티팩트를 빌드하기 위한 빌드 단계가 있으며, 그런 다음 Amazon S3 버킷에서 준비됩니다.
이 회사는 기존 프로세스에서 다양한 개선 기회를 확인했으며 솔루션 아키텍트는 다음과 같은 요구 사항을 갖습니다.
기능 개발을 지원하는 새로운 파이프 라인 생성
* 프로덕션 애플리케이션에 영향을 미치지 않으면 서 기능 개발 지원
* 단위 테스트와 지속적인 테스트를 통합
* 개발 및 프로덕션 아티팩트 분리
테스트 된 코드를 프로덕션 코드로 병합하는 기능을 지원합니다.
Solutions Architect는 이러한 요구 사항을 어떻게 달성해야 합니까?
A. CodeCommit 기능 분기에서 별도의 파이프 라인을 트리거합니다. 단위 테스트를 실행하려면 AWS CodeBuild를 사용하십시오. CodeBuild를 사용하여 별도의 테스트 계정에서 S3 버킷 내에서 아티팩트를 스테이징하십시오.
B. CodeCommit 기능 분기에서 별도의 파이프 라인을 트리거합니다. 단위 테스트를 실행하려면 AWS Lambda를 사용하십시오. 별도의 테스트 계정에서 S3 버킷 내에서 아티팩트를 스테이징하려면 AWS CodeDeploy를 사용하십시오.
C. CodeCommit 태그와 별도의 파이프 라인 트리거 단위 테스트를 실행하려면 Jenkins를 사용하십시오. 별도의 테스트 계정에서 S3 버킷으로 아티팩트를 스테이징하기위한 대상으로 S3을 사용하여 파이프 라인에 스테이지를 작성하십시오.
D. 기능 개발을위한 별도의 CodeCommit 저장소를 작성하고이를 사용하여 파이프 라인을 트리거하십시오. 단위 테스트를 실행하려면 AWS Lambda를 사용하십시오. 동일한 프로덕션 계정의 다른 S3 버킷 내에서 아티팩트를 스테이징하려면 AWS CodeBuild를 사용하십시오.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/codebuild/latest/userguide/how-to-create-pipeline.html

NEW QUESTION: 3
Evaluate the following DELETE statement:
DELETE FROM orders;
There are no other uncommitted transactions on the ORDERS table.
Which statement is true about the DELETE statement?
A. It removes all the rows in the table and allows ROLLBACK
B. It would not remove the rows if the table has a primary key.
C. It removes all the rows in the table and does not allow ROLLBACK
D. It removes all the rows as well as the structure of the table.
Answer: A

NEW QUESTION: 4
Which statement about VRF-aware GDOI group members is true?
A. Registration traffic and rekey traffic must operate on different on different VRFs.
B. Multiple VRFs are used to separate control traffic and data traffic.
C. IPsec is used only to secure data traffic.
D. The GM cannot route control traffic through the same VRF as data traffic.
Answer: B

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