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NEW QUESTION: 1
팀은 건설중인 제품의 기능을 다루는 방법에 대해 다른 아이디어를 가지고 있습니다. 스프린트가 이틀 전에 시작되었지만 여전히 합의에 도달하지 못했습니다. 프로젝트 관리자는 무엇을 해야 합니까?
A. 주요 이해 관계자 인 제품 소유자에게 다양한 아이디어 중에서 선택하도록 요청하십시오.
B. 모든 사람이 각 아이디어에 대한 의견을 표현할 수 있는 세션을 예약 한 다음 투표하고 결정합니다.
C. 각 아이디어의 장단점에 대한 의견을 제시하고 회의를 통해 합의에 도달하십시오.
D. 그룹에 아이디어를 제안하고 모든 사람에게 투표를 요청한 다음 가장 인기 있는 아이디어를 선택합니다.
Answer: C
NEW QUESTION: 2
A company wants to move a web application to AWS. The application stores session information locally on each web server, which will make auto scaling difficult. As part of the migration, the application will be rewritten to decouple the session data from the web servers. The company requires low latency, scalability, and availability.
Which service will meet the requirements for storing the session information in the MOST cost-effective way?
A. Amazon RDS MySQL
B. Amazon ElastiCache with the Memcached engine
C. Amazon ElastiCache with the Redis engine
D. Amazon S3
Answer: C
Explanation:
Explanation
Reference https://aws.amazon.com/caching/session-management/
NEW QUESTION: 3
회사는 현재 스토리지 목적으로 Amazon EBS 및 Amazon RDS를 사용합니다. 이 회사는 다른 AWS 리전에서 재해 복구를 위해 파일럿 라이트 방식을 사용하려고합니다. 이 회사의 RTO는 6 시간이고 RPO는 24 시간입니다.
최소 비용으로 요구 사항을 충족하는 솔루션은 무엇입니까?
A. Amazon ECS를 사용하여 장기 실행 작업을 처리하여 매일 EBS 및 RDS 스냅 샷을 생성하고 재해 복구 지역에 복사합니다. 액티브-패시브 장애 조치 구성과 함께 Amazon Route 53을 사용하십시오. 재해 복구 리전에서 용량이 0으로 설정된 Auto Scaling 그룹에서 Amazon EC2를 사용하십시오.
B. AWS Lambda를 사용하여 매일 EBS 및 RDS 스냅 샷을 생성하고이를 재해 복구 지역에 복사하십시오. 활성-액티브 장애 조치 구성과 함께 Amazon Route 53을 사용하십시오. 기본 리전과 동일한 방식으로 구성된 Auto Scaling 그룹에서 Amazon EC2를 사용하십시오.
C. EBS 및 RDS 교차 리전 스냅 샷 복사 기능을 사용하여 재해 복구 리전에서 스냅 샷을 만듭니다. 활성-액티브 장애 조치 구성과 함께 Amazon Route 53을 사용하십시오. 재해 복구 리전에서 용량이 0으로 설정된 Auto Scaling 그룹에서 Amazon EC2를 사용하십시오.
D. AWS Lambda를 사용하여 매일 EBS 및 RDS 스냅 샷을 생성하고이를 재해 복구 지역에 복사하십시오. 액티브-패시브 장애 조치 구성과 함께 Amazon Route 53을 사용하십시오. 재해 복구 리전에서 용량이 0으로 설정된 Auto Scaling 그룹에서 Amazon EC2를 사용하십시오.
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/scheduling_tasks.html
NEW QUESTION: 4
A company has an application that scans millions of connected devices for security threats and pushes the scan logs to an Amazon S3 bucket.
A total of 70 GB of data is generated each week, and the company needs to store 3 years of data for historical reporting.
The company must process, aggregate, and enrich the data from Amazon S3 by performing complex analytical queries and joins in the least amount of time.
The aggregated dataset is visualized on an Amazon QuickSight dashboard.
What should a solutions architect recommend to meet these requirements?
A. Create and run an ETL job in AWS Glue to process the data from Amazon S3 and load it into Amazon Redshift.
Perform the aggregation queries on Amazon Redshift.
B. Use AWS Glue to catalog the data in Amazon S3.
Perform the aggregation queries on the cataloged tables by using Amazon Athena.
Query the data directly from Amazon S3.
C. Use AWS Lambda functions based on S3 PutObject event triggers to copy the incremental changes to Amazon DynamoDB.
Perform the aggregation queries on DynamoDB.
D. Use AWS Lambda functions based on S3 PutObject event triggers to copy the incremental changes to Amazon Aurora MySQL.
Perform the aggregation queries on Aurora MySQL
Answer: A