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NEW QUESTION: 1
Which of the following would be effective in the strategic alignment of security initiatives?
A. Policies are created with input from business unit managers.
B. Business leaders participate in information security decision making.
C. A security steering committee is set up within the IT department.
D. Key information security policies are updated on a regular basis.
Answer: A

NEW QUESTION: 2
귀사에서 고객 등록 이벤트 등록 사이트를 운영합니다.이 사이트는 웹 및 응용 프로그램 계층 서버와 MySQL 데이터베이스를 갖춘 3 계층 아키텍처로 구축됩니다.이 응용 프로그램은 정상적인 작동을 위해 6 개의 웹 계층 서버와 6 개의 응용 프로그램 계층 서버가 필요하지만 최소 65 %의 서버 용량과 단일 MySQL 데이터베이스.
3 개의 가용성 영역 (AZ)이있는 리전에이 애플리케이션을 배포 할 때 어떤 아키텍처가 고 가용성을 제공합니까?
A. ELB (elastic load balancer) 뒤의 Auto Scaling Group 내부의 각 AZ에 3 개의 EC2 (Elastic Compute Cloud) 인스턴스가있는 2 개의 AZ에 배포 된 웹 계층 및 각각 3 개의 EC2 인스턴스가있는 2 개의 AZ에 배포 된 애플리케이션 계층 ELS 및 다중 AZ RDS (관계형 데이터베이스 서비스) 배포 뒤의 Auto Scaling 그룹 내부의 AZ.
B. ELB 뒤의 Auto Scaling 그룹 내부의 각 AZ에 2 개의 EC2 (Elastic Compute Cloud) 인스턴스가있는 3 개의 AZ에 배포 된 웹 계층 (엘라스틱로드 밸런서). 또한 ELB 뒤의 Auto Scaling Group 및 다중 AZ RDS (관계형 데이터베이스 서비스) 배포 뒤에 각 AZ에 2 개의 EC2 인스턴스가있는 3 개의 AZ에 배포 된 애플리케이션 계층이 있습니다.
C. ELB (elastic load balancer) 뒤의 Auto Scaling Group 내부의 각 AZ에 2 개의 EC2 (Elastic Compute Cloud) 인스턴스가있는 3 개의 AZ에 배포 된 웹 계층 및 각각에 2 개의 EC2 인스턴스가있는 3 개의 AZ에 배포 된 애플리케이션 계층 ELB 뒤에있는 Auto Scaling 그룹 내부의 AZ와 두 개의 다른 AZ에 읽기 전용 복제본으로 배포 된 하나의 RDS (Relational Database Service) 인스턴스.
D. ELB (elastic load balancer) 뒤의 Auto Scaling Group 내부의 각 AZ에 3 개의 EC2 (Elastic Compute Cloud) 인스턴스가 있는 2 개의 AZ에 배포 된 웹 계층 및 3 개의 EC2 인스턴스가있는 2 개의 AZ에 배포 된 애플리케이션 계층 Auto Scaling 그룹 내부의 각 AZ는 ELB 뒤에 있고 하나의 RDS (관계형 데이터베이스 서비스) 인스턴스는 다른 AZ의 읽기 전용 복제본과 함께 배포됩니다.
Answer: B
Explanation:
Explanation
Amazon RDS Multi-AZ Deployments
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.
Enhanced Durability
Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines utilize synchronous physical replication to keep data on the standby up-to-date with the primary. Multi-AZ deployments for the SQL Server engine use synchronous logical replication to achieve the same result, employing SQL Server-native Mirroring technology. Both approaches safeguard your data in the event of a DB Instance failure or loss of an Availability Zone.
If a storage volume on your primary fails in a Multi-AZ deployment, Amazon RDS automatically initiates a failover to the up-to-date standby. Compare this to a Single-AZ deployment: in case of a Single-AZ database failure, a user-initiated point-in-time-restore operation will be required. This operation can take several hours to complete, and any data updates that occurred after the latest restorable time (typically within the last five minutes) will not be available.
Amazon Aurora employs a highly durable, SSD-backed virtualized storage layer purpose-built for database workloads. Amazon Aurora automatically replicates your volume six ways, across three Availability Zones.
Amazon Aurora storage is fault-tolerant, transparently handling the loss of up to two copies of data without affecting database write availability and up to three copies without affecting read availability. Amazon Aurora storage is also self-healing. Data blocks and disks are continuously scanned for errors and replaced automatically.
Increased Availability
You also benefit from enhanced database availability when running Multi-AZ deployments. If an Availability Zone failure or DB Instance failure occurs, your availability impact is limited to the time automatic failover takes to complete: typically under one minute for Amazon Aurora and one to two minutes for other database engines (see the RDS FAQ for details).
The availability benefits of Multi-AZ deployments also extend to planned maintenance and backups. In the case of system upgrades like OS patching or DB Instance scaling, these operations are applied first on the standby, prior to the automatic failover. As a result, your availability impact is, again, only the time required for automatic failover to complete.
Unlike Single-AZ deployments, I/O activity is not suspended on your primary during backup for Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines, because the backup is taken from the standby.
However, note that you may still experience elevated latencies for a few minutes during backups for Multi-AZ deployments.
On instance failure in Amazon Aurora deployments, Amazon RDS uses RDS Multi-AZ technology to automate failover to one of up to 15 Amazon Aurora Replicas you have created in any of three Availability Zones. If no Amazon Aurora Replicas have been provisioned, in the case of a failure, Amazon RDS will attempt to create a new Amazon Aurora DB instance for you automatically.

NEW QUESTION: 3
Refer to the exhibit.

Which result of implementing the configuration is true?
A. An alert is sent for a Major condition.
B. Email is used as the transport.
C. The maximum message size is 2500000.
D. The minimum message seventy level is 9.
Answer: A

NEW QUESTION: 4
Which option describes the main purpose of the stack designers in Cisco Prime Service Catalog?
A. Design application as a service.
B. Automate IT as a service configurations.
C. Design the topology to deploy Cisco Prime Service Catalog.
D. Design VM Services.
Answer: A
Explanation:
Explanation/Reference:
Explanation:

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