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NEW QUESTION: 1
A router OSPFv3 adjacency relationship is as follows. The router is an ABR.

A. True
B. False
Answer: A

NEW QUESTION: 2
각 목표를 확장하려면 클릭하십시오. Azure Portal에 연결하려면 브라우저 주소 표시 줄에 https://portal.azure.com을 입력하십시오.



모든 작업을 완료하면 '다음'버튼을 클릭하십시오.
'다음'버튼을 클릭하면 실험실로 돌아갈수 없습니다. 시험의 나머지 부분을 완료하는 동안 백그라운드에서 채점됩니다.
개요
시험의 다음 섹션은 실습입니다. 이 섹션에서는 실제 환경에서 일련의 작업을 수행합니다. 실제 환경에서와 같이 대부분의 기능을 사용할수 있지만 일부 기능 (예 : 복사 및 붙여 넣기, 외부 웹 사이트 탐색 기능)은 의도적으로 설계할수 없습니다.
채점은 실험실에 명시된 작업을 수행한 결과를 기반으로 합니다. 즉, 작업 수행 방법은 중요하지 않습니다. 작업을 성공적으로 수행하면 해당 작업에 대한 크레딧을 얻게 됩니다.
실습 시간은 별도로 정해져 있지 않으며 이 시험에는 두 개 이상의 실습 과정이 있어야 합니다. 각 실습을 완료하려는 시간만큼 사용할수 있습니다. 그러나 제공된 시간 내에 실험실 및 시험의 다른 모든 섹션을 완료할수 있도록 시간을 적절히 관리해야 합니다.
랩 내에서 다음 버튼을 클릭하여 작업을 제출하면 랩으로 돌아올수 없습니다.
실습을 시작하려면 다음 버튼을 클릭하여 실습을 시작할수 있습니다.
인터넷에서 TCP 포트 3389를 통해 VM1에 대한 RDP 연결을 허용해야 합니다. 이 솔루션은 다른 모든 TCP 포트를 통한 인터넷 연결을 방지해야 합니다.
Azure Portal에서 무엇을 해야 합니까?
Answer:
Explanation:
아래 솔루션을 참조하십시오.
설명
1 단계 : 새 네트워크 보안 그룹 생성
2 단계 : 새 네트워크 보안 그룹을 선택하십시오.

3 단계 : 인바운드 보안 규칙을 선택합니다. 인바운드 보안 규칙 추가에서 다음 대상을 입력하십시오. 네트워크 보안 그룹을 선택한 다음 이전에 만든 보안 그룹을 선택하십시오.
대상 포트 범위 : 3389
프로토콜 : TCP 선택

참고 문헌 : https : //docs.microsoft.com/en-us/azure/virtual-network/tutorial-filter-network-traffic

NEW QUESTION: 3
Your company runs a customer facing event registration site This site is built with a 3-tier architecture with web and application tier servers and a MySQL database The application requires 6 web tier servers and 6 application tier servers for normal operation, but can run on a minimum of 65% server capacity and a single MySQL database.
When deploying this application in a region with three availability zones (AZs) which architecture provides high availability?
A. A web tier deployed across 2 AZs with 3 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer), and an application tier deployed across 2 AZs with 3 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB and one RDS (Relational Database Service) instance deployed with read replicas in the other AZ.
B. A web tier deployed across 2 AZs with 3 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer) and an application tier deployed across 2 AZs with 3 EC2 instances m each AZ inside an Auto Scaling Group behind an ELS and a Multi-AZ RDS (Relational Database Service) deployment.
C. A web tier deployed across 3 AZs with 2 EC2 (Elastic Compute Cloud) instances in each AZ Inside an Auto Scaling Group behind an ELB (elastic load balancer). And an application tier deployed across 3 AZs with 2 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB and a Multi-AZ RDS (Relational Database services) deployment.
D. A web tier deployed across 3 AZs with 2 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer) and an application tier deployed across 3 AZs with 2 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB and one RDS (Relational Database Service) Instance deployed with read replicas in the two other AZs.
Answer: C
Explanation:
Explanation/Reference:
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: 4
Given:
1. public class Foo {
2 . public static void main (String [] args){
3 .StringBuffer a = new StringBuffer ("A");
4 .StringBuffer b = new StringBuffer ("B");
5 .operate (a,b);
6 .system.out.printIn{a + "," +b};
7 . )
8 . static void operate (StringBuffer x, StringBuffer y){
9 .x.append {y};
1 0.y = x;
1 1.)
1 2.}
What is the result?
A. The code does not compile because "+" cannot be overloaded for StringBuffer.
B. The code compiles and prints "AB,AB".
C. The code compiles and prints "A,B".
D. The code compiles and prints "A,A".
E. The code compiles and prints "AB,B".
F. The code compiles and prints "B,B".
Answer: E

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