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NEW QUESTION: 1
Given two files, GrizzlyBear.java and Salmon.java:
1.package animals.mammals;
2.3.
public class GrizzlyBear extends Bear {
4.void hunt() {
5.Salmon s = findSalmon();
6.s.consume();
7.}
8.}
1.package animals.fish;
2.3.
public class Salmon extends Fish {
4.public void consume() { /* do stuff */ }
5.}
If both classes are in the correct directories for their packages, and the Mammal class correctly defines the findSalmon() method, which change allows this code to compile?
A. add import animals.fish.Salmon.*; at line 2 in GrizzlyBear.java
B. add import animals.mammals.GrizzlyBear.*; at line 2 in Salmon.java
C. add import animals.mammals.*; at line 2 in Salmon.java
D. add import animals.fish.*; at line 2 in GrizzlyBear.java
Answer: D
NEW QUESTION: 2
Which two statements are true regarding the role of the Routing Engine (RE)? (Choose two.)
A. The RE receives a copy of the forwarding table from the forwarding plane.
B. The RE manages the Packet Forwarding Engine (PFE).
C. The RE implements class of service (COS).
D. The RE controls and monitors the chassis.
Answer: B,D
NEW QUESTION: 3
Where do you configure the BusinessObjects Enterprise Web Component Adapter (WCA)?
(Choose two.)
A. web.config file in the WebContent directory
B. Central Management Console
C. Central Configuration Manager
D. wcaconfig.ini file in the InfoView directory
Answer: A,D
NEW QUESTION: 4
3-Ber 전자 상거래 웹 애플리케이션은 현재 온-프레미스로 배포되며 확장 성과 탄력성을 높이기 위해 AWS로 마이그레이션됩니다. 웹 계층은 현재 네트워크 분산 파일 시스템을 사용하여 읽기 전용 데이터를 공유합니다. 앱 서버 계층은 IP 멀티 캐스트에 의존하는 검색 및 공유 세션 상태에 클러스터링 메커니즘을 사용합니다. 데이터베이스 계층은 공유 스토리지 클러스터링을 사용하여 데이터베이스 장애 조치 기능을 제공하고 확장을 위해 여러 읽기 슬레이브를 사용합니다. 모든 서버 및 분산 파일 시스템 디렉토리의 데이터는 매주 오프 사이트 테이프에 백업됩니다.
애플리케이션의 요구 사항을 충족하는 AWS 스토리지 및 데이터베이스 아키텍처는 무엇입니까?
A. 웹 서버 : S3에 읽기 전용 데이터를 저장하고 부팅시 S3에서 루트 볼륨으로 복사합니다. 앱 서버 :
데이터베이스 : 다중 AZ 배포 및 하나 이상의 읽기 전용 복제본과 함께 RDS 사용 백업 : 스냅 샷을 사용하여 매주 Glacier에 백업되는 웹 서버, 앱 서버 및 데이터베이스.
B. 웹 서버 : S3에 읽기 전용 데이터를 저장하고 부팅시 S3에서 루트 볼륨으로 복사합니다. 앱 서버 : DynamoDB와 IP 유니 캐스트를 조합하여 공유 상태 데이터베이스 : 다중 AZ 배포 및 하나 이상의 읽기 전용 복제본과 함께 RDS를 사용합니다. 백업 : 웹 및 앱 서버는 AMI를 통해 매주 백업되고 데이터베이스는 DB 스냅 샷을 통해 백업됩니다.
C. 웹 서버 : EC2 NFS 서버에 읽기 전용 데이터를 저장하고 부팅시 각 웹 서버에 마운트합니다. 앱 서버 : DynamoDB와 IP 멀티 캐스트의 조합을 사용하여 상태를 공유합니다. 데이터베이스 : 다중 AZ 배포 및 하나 이상의 읽기 전용 복제본과 함께 RDS를 사용합니다. 백업 : 웹 및 앱 서버는 AMI를 통해 매주 백업되고 데이터베이스는 DB 스냅 샷을 통해 백업됩니다.
D. 웹 서버 : S3에 읽기 전용 데이터를 저장하고 부팅시 S3에서 루트 볼륨으로 복사합니다 App Server : 공유 상태는 DynamoDB와 IP 유니 캐스트를 조합하여 사용합니다. 데이터베이스 : 다중 AZ 배포에 RDS 사용 백업 : AMI를 통해 매주 백업되는 웹 및 앱 서버, DB 스냅 샷을 통해 백업 된 데이터베이스
Answer: B
Explanation:
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Each AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure (for example, instance hardware failure, storage failure, or network disruption), Amazon RDS performs an automatic failover to the standby, so that you can resume database operations as soon as the failover is complete. Since the endpoint for your DB Instance remains the same after a failover, your application can resume database operation without the need for manual administrative intervention.