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NEW QUESTION: 1
A company has a multi-tier application that runs six front-end web servers in an Amazon EC2 Auto Scaling group in a single Availability Zone behind an Application Load Balancer (ALB) A solutions architect needs to modify the infrastructure to be highly available without modifying the application Which architecture should the solutions architect choose that provides high availability?
A. Create an Auto Scaling template that can be used to quickly create more instances in another Region
B. Create an Auto Scaling group that uses three instances across each of two Regions
C. Modify the Auto Scaling group to use three instances across each of two Availability Zones
D. Change the ALB in front of the Amazon EC2 instances in a round-robin configuration to balance traffic to the web tier
Answer: C
Explanation:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-add-availability-zone.html Expanding Your Scaled and Load-Balanced Application to an Additional Availability Zone When one Availability Zone becomes unhealthy or unavailable, Amazon EC2 Auto Scaling launches new instances in an unaffected zone. When the unhealthy Availability Zone returns to a healthy state, Amazon EC2 Auto Scaling automatically redistributes the application instances evenly across all of the zones for your Auto Scaling group. Amazon EC2 Auto Scaling does this by attempting to launch new instances in the Availability Zone with the fewest instances. If the attempt fails, however, Amazon EC2 Auto Scaling attempts to launch in other Availability Zones until it succeeds.
You can expand the availability of your scaled and load-balanced application by adding an Availability Zone to your Auto Scaling group and then enabling that zone for your load balancer. After you've enabled the new Availability Zone, the load balancer begins to route traffic equally among all the enabled zones.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-add-availability-zone.html
NEW QUESTION: 2
회사에는 여러 팀이 있으며 각 팀에는 총 100TB의 자체 Amazon RDS 데이터베이스가 있습니다. 회사는 비즈니스 인텔리전스 분석가가 매주 비즈니스 보고서를 생성하기 위한 데이터 쿼리 플랫폼을 구축하고 있습니다. 새 시스템은 임시 SQL 쿼리를 실행해야 합니다. 가장 비용 효율적인 솔루션?
A. 충분한 코어 노드로 Amazon EMR 클러스터 생성 Apache Spark 작업을 실행하여 RDS 데이터베이스에서 Hadoop 분산 파일 시스템 (HDFS)으로 데이터를 복사합니다. 로컬 Apache Hive 메타 스토어를 사용하여 테이블 정의 유지 Spark SQL을 사용하여 실행 쿼리
B. 새 Amazon Redshift 클러스터 생성 AWS Glue ETL 작업 생성 RDS 데이터베이스에서 Amazon Redshift 클러스터로 데이터를 복사하는 Amazon Redshift를 사용하여 쿼리 실행
C. AWS Glue 크롤러를 사용하여 모든 데이터베이스를 크롤링하고 AWS Glue 데이터 카탈로그에서 테이블 생성 AWS Glue ETL 작업을 사용하여 RDS 데이터베이스에서 Amazon S3로 데이터를 로드하고 Amazon Athena를 사용하여 쿼리를 실행하십시오.
D. AWS Glue ETL 작업을 사용하여 모든 RDS 데이터베이스를 단일 Amazon Aurora PostgreSQL 데이터베이스에 복사하십시오. Aurora PostgreSQL 데이터베이스에서 SQL 쿼리를 실행하십시오.
Answer: C
NEW QUESTION: 3
DRAG DROP
Answer:
Explanation:
References:
http://download.microsoft.com/download/3/5/4/354b34f9-320c-42f1-b56d-ce4282ddb796/sam_optimization_brochure_direct-to-customer_us.pdf Page: 7 (SOM Assessment Process).