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NEW QUESTION: 1
회사는 빠른 복구를 위해 온 프레미스 애플리케이션이 이러한 백업에 대한 액세스를 유지하도록 보장하면서 온 프레미스 데이터베이스 서버를 위한 내구성있는 백업 스토리지 솔루션이 필요합니다. 회사는 이러한 백업의 대상으로 AWS 스토리지 서비스를 사용할 것입니다. 솔루션 설계자는 최소한의 운영 오버 헤드로 솔루션을 설계하고 있습니다. 솔루션 설계자는 어떤 솔루션을 구현해야 합니까?
A. 데이터베이스를 AWS Storage Gateway 볼륨 게이트웨이에 백업하고 Amazon S3 API를 사용하여 액세스합니다.
B. 온 프레미스에 AWS Storage Gateway 파일 게이트웨이를 배포하고 Amazon S3 버킷과 연결
C. 데이터베이스 백업 파일을 Amazon EC2 인스턴스에 연결된 Amazon Elastic Block Store (Amazon EBS) 볼륨으로 전송합니다.
D. 데이터베이스를 AWS Snowball 디바이스에 직접 백업하고 수명주기 규칙을 사용하여 데이터를 Amazon S3 Glacier Deep Archive로 이동합니다.
Answer: B
Explanation:
Explanation
Network Load Balancer overview
A Network Load Balancer functions at the fourth layer of the Open Systems Interconnection (OSI) model. It can handle millions of requests per second. After the load balancer receives a connection request, it selects a target from the target group for the default rule. It attempts to open a TCP connection to the selected target on the port specified in the listener configuration.
When you enable an Availability Zone for the load balancer, Elastic Load Balancing creates a load balancer node in the Availability Zone. By default, each load balancer node distributes traffic across the registered targets in its Availability Zone only. If you enable cross-zone load balancing, each load balancer node distributes traffic across the registered targets in all enabled Availability Zones. For more information, see Availability Zones.
If you enable multiple Availability Zones for your load balancer and ensure that each target group has at least one target in each enabled Availability Zone, this increases the fault tolerance of your applications. For example, if one or more target groups does not have a healthy target in an Availability Zone, we remove the IP address for the corresponding subnet from DNS, but the load balancer nodes in the other Availability Zones are still available to route traffic. If a client doesn't honor the time-to-live (TTL) and sends requests to the IP address after it is removed from DNS, the requests fail.
For TCP traffic, the load balancer selects a target using a flow hash algorithm based on the protocol, source IP address, source port, destination IP address, destination port, and TCP sequence number. The TCP connections from a client have different source ports and sequence numbers, and can be routed to different targets. Each individual TCP connection is routed to a single target for the life of the connection.
For UDP traffic, the load balancer selects a target using a flow hash algorithm based on the protocol, source IP address, source port, destination IP address, and destination port. A UDP flow has the same source and destination, so it is consistently routed to a single target throughout its lifetime. Different UDP flows have different source IP addresses and ports, so they can be routed to different targets.
An Auto Scaling group contains a collection of Amazon EC2 instances that are treated as a logical grouping for the purposes of automatic scaling and management. An Auto Scaling group also enables you to use Amazon EC2 Auto Scaling features such as health check replacements and scaling policies. Both maintaining the number of instances in an Auto Scaling group and automatic scaling are the core functionality of the Amazon EC2 Auto Scaling service.
The size of an Auto Scaling group depends on the number of instances that you set as the desired capacity.
You can adjust its size to meet demand, either manually or by using automatic scaling.
An Auto Scaling group starts by launching enough instances to meet its desired capacity. It maintains this number of instances by performing periodic health checks on the instances in the group. The Auto Scaling group continues to maintain a fixed number of instances even if an instance becomes unhealthy. If an instance becomes unhealthy, the group terminates the unhealthy instance and launches another instance to replace it.
https://docs.aws.amazon.com/elasticloadbalancing/latest/network/introduction.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html

NEW QUESTION: 2
You have two Content Servers and two Connection Brokers installed for one repository to spread the load of user activity. Users from your Sales department will be connected via Connection Broker A to Content Server A and users from the Administration department will be connected via Connection Broker B to Content Server B.Which setting should be used so that users' sessions from the Sales department can fail over from Content Server A to Content Server B?
A. Content Server A projects with proximity 0001 to Connection Broker A. Content Server B must project with proximity 9002 to Connection Broker A.
B. Content Server A projects with proximity 0001 to Connection Broker A. Content Server B projects with proximity 0001 to Connection Broker B and 0002 to Connection Broker A.
C. Content Server A and Content Server B must project with the same proximity to Connection Broker A and the value must be 9001 or higher.
D. Content Server A projects with proximity 0001 to Connection Broker A and 0002 to Connection Broker B. Content Server B just projects with 0001 to Connection Broker B.
Answer: B

NEW QUESTION: 3
SAPERP用に開発されたカスタムコードをシステム変換用のSAPS / 4HANA機能に置き換えるためのガイダンスを提供するツールはどれですか?
A. データベース移行オプションを備えたソフトウェアアップデートマネージャー
B. SAPコードインスペクター
C. ソフトウェアプロビジョニングマネージャー
D. 簡略化項目チェック(Siチェック)
Answer: D

NEW QUESTION: 4
A customer reports that a LUN is offline because the volume is out of space even though the space-reserve parameter is configured to enabled on the LUN.
Which two statements are correct in this scenario? (Choose two.)
A. The containing aggregate is thin-provisioned.
B. The fractional reserve is set to 0%.
C. Deduplication is inflating the LUN when it is brought online.
D. The volume has snapshots.
Answer: A,D