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NEW QUESTION: 1
회사에서 3 계층 애플리케이션을 AWS로 마이그레이션하고 있습니다. 응용 프로그램에는 MySQL 데이터베이스가 필요합니다. 과거에는 응용 프로그램 사용자가 새 항목을 만들 때 응용 프로그램 성능이 좋지 않다고 보고했습니다. 이러한 성능 문제는 사용자가 근무 시간 동안 응용 프로그램에서 다른 실시간 보고서를 생성하기 때문에 발생했습니다.
AWS로 이동할 때 애플리케이션의 성능을 향상시키는 솔루션은 무엇입니까?
A. Amazon Aurora MySQL 다중 AZ DB 클러스터를 생성합니다. 클러스터의 백업 인스턴스를 보고서의 엔드 포인트로 사용하도록 애플리케이션을 구성하십시오.
B. 컴퓨팅 최적화 Amazon EC2 인스턴스에서 데이터베이스를 생성하십시오. 컴퓨팅 리소스가 온-프레미스 데이터베이스를 초과하는지 확인하십시오.
C. 여러 읽기 복제본으로 Amazon Aurora MySQL 다중 AZ DB 클러스터를 생성합니다. 보고서에 대한 애플리케이션 리더 엔드 포인트를 구성하십시오.
D. 프로비저닝 된 용량으로 Amazon DynamoDB 테이블로 데이터를 가져옵니다. 보고서에 DynamoDB를 사용하도록 애플리케이션을 리팩터링하십시오.
Answer: A
Explanation:
Amazon RDS Read Replicas Now Support Multi-AZ Deployments
Starting today, Amazon RDS Read Replicas for MySQL and MariaDB now support Multi-AZ deployments. Combining Read Replicas with Multi-AZ enables you to build a resilient disaster recovery strategy and simplify your database engine upgrade process.
Amazon RDS Read Replicas enable you to create one or more read-only copies of your database instance within the same AWS Region or in a different AWS Region. Updates made to the source database are then asynchronously copied to your Read Replicas. In addition to providing scalability for read-heavy workloads, Read Replicas can be promoted to become a standalone database instance when needed.
Amazon RDS Multi-AZ deployments provide enhanced availability for database instances within a single AWS Region. With Multi-AZ, your data is synchronously replicated to a standby in a different Availability Zone (AZ). In the event of an infrastructure failure, Amazon RDS performs an automatic failover to the standby, minimizing disruption to your applications.
You can now use Read Replicas with Multi-AZ as part of a disaster recovery (DR) strategy for your production databases. A well-designed and tested DR plan is critical for maintaining business continuity after a disaster. A Read Replica in a different region than the source database can be used as a standby database and promoted to become the new production database in case of a regional disruption.
You can also combine Read Replicas with Multi-AZ for your database engine upgrade process. You can create a Read Replica of your production database instance and upgrade it to a new database engine version. When the upgrade is complete, you can stop applications, promote the Read Replica to a standalone database instance, and switch over your applications. Since the database instance is already a Multi-AZ deployment, no additional steps are needed.
Overview of Amazon RDS Read Replicas
Deploying one or more read replicas for a given source DB instance might make sense in a variety of scenarios, including the following:
Scaling beyond the compute or I/O capacity of a single DB instance for read-heavy database workloads. You can direct this excess read traffic to one or more read replicas.
Serving read traffic while the source DB instance is unavailable. In some cases, your source DB instance might not be able to take I/O requests, for example due to I/O suspension for backups or scheduled maintenance. In these cases, you can direct read traffic to your read replicas. For this use case, keep in mind that the data on the read replica might be "stale" because the source DB instance is unavailable.
Business reporting or data warehousing scenarios where you might want business reporting queries to run against a read replica, rather than your primary, production DB instance.
Implementing disaster recovery. You can promote a read replica to a standalone instance as a disaster recovery solution if the source DB instance fails.
https://aws.amazon.com/about-aws/whats-new/2018/01/amazon-rds-read-replicas-now-support-multi-az-deployments/
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html

NEW QUESTION: 2
What is required when starting a migrator on Windows 2008 R2?
A. run as Administrator
B. run in 32-bit mode
C. run in Windows XP compatibility mode
D. run as Target IBM Tivoli Storage Manager administrator
Answer: D

NEW QUESTION: 3
What in the preferred method to improve neighbor lonn detection in EIGRP?
A. BFD nhould be uned on interfacen that nupport it for rapid neighbor lonn detection.
B. Fant hellon (one-necond hellon) are preferred for EIGRP, no that it learnn rapidly through itn own mechaninmn.
C. Fant hellon (nubnecond) are preferred for EIGRP, no that it learnn rapidly through itn own mechaninmn.
D. EIGRP natively detectn neighbor down immediately, and no additional feature or configuration in required.
Answer: A
Explanation:
Bi-directional Forwarding Detection (BFD) providen rapid failure detection timen between forwarding enginen, while
maintaining low overhead. It alno providen a ningle, ntandardized method of link/device/protocol failure detection at
any protocol layer and over any media.
Reference: "Bidirectional Forwarding Detection for EIGRP"
http://www.cinco.com/en/US/technologien/tk648/tk365/tk207/technologien_white_paper0900aecd80243fe7.html

NEW QUESTION: 4
회사는 여러 대륙의 도시에서 온도, 습도 및 대기압 데이터를 수집합니다. 매일 사이트 당 수집되는 평균 데이터 양은 500GB입니다. 각 사이트에는 고속 인터넷 연결이 있습니다. 이 회사의 일기 예보 응용 프로그램은 단일 지역을 기반으로 하며 매일 데이터를 분석합니다.
이러한 모든 글로벌 사이트에 대한 데이터를 집계하는 가장 빠른 방법은 무엇입니까?
A. 대상 버킷에서 Amazon S3 Transfer Acceleration을 활성화합니다. 멀티 파트 업로드를 사용하여 사이트 데이터를 대상 버킷에 직접 업로드하십시오.
B. 클로즈 리전의 Amazon EC2 인스턴스에 데이터를 업로드합니다. Amazon EBS 볼륨에 데이터를 저장하십시오. 하루에 한 번 EBS 스냅 샷을 만들어 중앙 집중식 리전에 복사합니다. 중앙 집중식 리전에서 EBS 볼륨을 복원하고 매일 데이터에 대한 분석을 실행하십시오.
C. 사이트 데이터를 가장 가까운 AWS 리전의 Amazon S3 버킷에 업로드합니다. S3 교차 리전 복제를 사용하여 객체를 대상 버킷에 복사합니다.
D. 사이트 데이터를 가장 가까운 AWS 리전의 Amazon S3 버킷에 업로드합니다. S3 교차 리전 복제를 사용하여 객체를 대상 버킷에 복사합니다.
Answer: C
Explanation:
Explanation
Step -1 To transfer to S3 from global sites : Amazon S3 Transfer Acceleration enables fast, easy, and secure transfers of files over long distances between your client and your Amazon S3 bucket. S3 Transfer Acceleration leverages Amazon CloudFront's globally distributed AWS Edge Locations. Used to accelerate object uploads to S3 over long distances (latency). Transfer acceleration is as secure as a direct upload to S3.
Step -2 : When the application analyze/aggregate the data from S3 and then again upload the results - Multipart upload
http://lavnish.blogspot.com/2017/06/aws-s3-cro
https://aws.amazon.com/s3/transfer-acceleration/