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NEW QUESTION: 1
標準オブジェクト間の1対多の関係の例は次のうちどれですか。
A. 商談商品への商談
B. チケットの連絡先
C. アカウントの連絡先
D. 連絡先のアカウント
Answer: D

NEW QUESTION: 2
A network administrator noticed that wireless guests are able to access internal resources which should not be accessible. Looking at the settings on the Cisco ISE, the administrator notices that the correct ACL is applied in Authorization Profile Settings and guests are being authorized using the correct authorization profile. Why is this happening''
A. Access Type must be changed to ACCESS_REJECT with GUEST_ACL
B. GUEST_ACL syntax is incorrect
C. Number ACL must be applied.
D. Airespace ACL Name must be configured instead of DACL Name.
Answer: A

NEW QUESTION: 3
You have an application consisting of a stateless web server tier running on Amazon EC2 instances behind load balancer, and are using Amazon RDS with read replicas. Which of the following methods should you use to implement a self-healing and cost-effective architecture? Choose 2 answers from the optionsgiven below
A. Use an Amazon RDS Multi-AZ deployment.
B. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the Amazon RDS DB CPU utilization Cloud Watch metric to scale the instances.
C. Set up an Auto Scalinggroup for the database tier along with an Auto Scaling policy that uses the Amazon RDS read replica lag CloudWatch metric to scale out the Amazon RDS read replicas.
D. Set up scripts on each Amazon EC2 instance to frequently send ICMP pings to the load balancer in order to determine which instance is unhealthy and replace it.
E. Set up a third-party monitoring solution on a cluster of Amazon EC2 instances in order to emit custom Cloud Watch metrics to trigger the termination of unhealthy Amazon EC2 instances.
F. Use a larger Amazon EC2 instance type for the web server tier and a larger DB instance type for the data storage layer to ensure that they don't become unhealthy.
G. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the Amazon EC2 CPU utilization CloudWatch metric to scale the instances.
Answer: A,G
Explanation:
Explanation
The scaling of CC2 Instances in the Autoscaling group is normally done with the metric of the CPU utilization of the current instances in the Autoscaling group For more information on scaling in your Autoscaling Group, please refer to the below link:
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/as-scaling-si mple-step.html
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). Cach AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure, Amazon RDS performs an automatic failover to the standby (or to a read replica in the case of Amazon Aurora), so that you can resume database operations as soon as the failover is complete. For more information on RDS Multi-AZ please refer to the below link:
* https://aws.amazon.com/rds/details/multi-az/
Option A is invalid because if you already have in-built metrics from Cloudwatch, why would you want to spend more in using a a third-party monitoring solution.
Option B is invalid because health checks are already a feature of AWS CLB Option C is invalid because the database CPU usage should not be used to scale the web tier.
Option C is invalid because increasing the instance size does not always guarantee that the solution will not become unhealthy.
Option F is invalid because increasing Read-Replica's will not suffice for write operations if the primary DB fails.

NEW QUESTION: 4
Auto Scaling 그룹을 설정했습니다. Auto Scaling 그룹의 냉각 기간은 7 분입니다.
첫 번째 인스턴스는 3 분 후에 시작되고 두 번째 인스턴스는 4 분 후에 시작됩니다. 첫 번째 인스턴스가 시작된 후 몇 분 후에 Auto Scaling이 다른 확장 작업 요청을 수락합니까?
A. 7 분
B. 11 분
C. 14 분
D. 10 분
Answer: B
Explanation:
설명:
Auto Scaling 그룹이 둘 이상의 인스턴스를 시작하는 경우 해당 인스턴스가 시작된 후 각 인스턴스의 냉각 기간이 시작됩니다. 그룹은 시작된 마지막 인스턴스가 종료 될 때까지 잠긴 상태로 유지됩니다. 이 경우 첫 번째 인스턴스의 쿨 다운 기간은 3 분 후에 시작되고 10 분 (3 + 7 쿨 다운)에서 완료되며, 두 번째 인스턴스는 4 분에 시작하여 11 분 (4 + 7)에 완료됩니다 식어). 따라서 Auto Scaling 그룹은 11 분 후에 만 ​​다른 요청을 수신합니다.
참조 : http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/AS_Concepts.html