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NEW QUESTION: 1
A data administrator is responsible for:
A. developing data dictionary system software.
B. defining data elements, data names and their relationship.
C. developing physical database structures.
D. maintaining database system software.
Answer: B
Explanation:
A data administrator is responsible for defining data elements, data names and their relationship. Choices A, C and D are functions of a database administrator (DBA)

NEW QUESTION: 2
개발 팀은 서비스 배포를 돕는 일련의 AWS CloudFormation 템플릿을 만들었습니다. 네트워크 / 가상 사설 (VPC) 스택, 데이터베이스 스택, 요새 호스트 스택 및 웹 응용 프로그램 별 스택에 대한 템플릿을 만들었습니다. 각 서비스는 최소한 다음을 배포해야 합니다.
네트워크 / VPC 스택
요새 호스트 스택
웹 애플리케이션 스택
각 템플릿에는 AWS CloudFormation 콘솔에서 개별적으로 서비스를 배포하기 어려운 여러 입력 파라미터가 있습니다. 한 스택의 입력 매개 변수는 일반적으로 다른 스택의 출력입니다. 예를 들어 네트워크 스택의 VPC ID, 서브넷 ID 및 보안 그룹을 응용 프로그램 스택 또는 데이터베이스 스택에 사용해야 할수 있습니다.
운영 부담과 서비스 배포에 전달되는 매개 변수 수를 줄이는데 도움이 되는 작업은 무엇입니까? (2 개를 선택하십시오.)
A. 각 서비스에 대한 AWS CodePipeline 워크 플로우를 설정하십시오. 기존 템플릿마다 배포 작업으로 AWS CloudFormation을 선택하십시오. 배포 작업에 AWS CloudFormation 템플릿을 추가하십시오. 종속성이 준수되도록 배치 조치가 처리되는지 확인하십시오.
구성 파일과 스크립트를 사용하여 스택간에 매개 변수를 공유하십시오. 서비스를 시작하려면 서비스 이름을 선택하고 변경 사항을 발표하여 특정 템플릿을 실행하십시오.
B. AWS Step Functions를 사용하여 새 서비스를 정의하십시오. 각 서비스마다 새로운 AWS CloudFormation 템플릿을 생성하십시오. 기존 템플릿 이후에 크로스 스택 참조를 사용하여 각 템플릿에 많은 매개 변수를 전달하지 않아도됩니다. 애플리케이션에 필요한 각 스택을 새 서비스 템플리트에서 중첩 스택으로 호출하십시오. 서비스 템플릿을 직접 호출하도록 AWS Step Functions를 구성하십시오. AWS Step Functions 콘솔에서 단계를 실행하십시오.
C. 각 서비스마다 새로운 AWS CloudFormation 템플릿을 생성하십시오. 기존 템플릿 이후에 크로스 스택 참조를 사용하여 각 템플릿에 많은 매개 변수를 전달하지 않아도 됩니다. 응용 프로그램에 필요한 각 스택을 새 스택에서 중첩 스택으로 호출하십시오. AWS CloudFormation 콘솔에서 새로 생성된 서비스 스택을 호출하여 이전에 필요한 파라미터의 하위 집합으로 특정 서비스를 배포합니다.
D. 각 서비스에 대해 AWS 서비스 카탈로그에서 새 포트폴리오를 생성하십시오. 서비스를 구축하는데 필요한 각 기존 AWS CloudFormation 템플릿에 대한 제품을 생성하십시오. AWS Service Catalog에서 해당 서비스를 나타내는 포트폴리오에 제품을 추가하십시오. 서비스를 배포하려면 특정 서비스 포트폴리오를 선택하고 필요한 매개 변수로 포트폴리오를 시작하여 모든 템플릿을 배포하십시오.
E. AWS 서비스 카탈로그의 서비스에 대한 새 포트폴리오를 생성하십시오. 각 서비스마다 새로운 AWS CloudFormation 템플릿을 생성하십시오. 기존 템플릿 이후에 크로스 스택 참조를 사용하여 각 템플릿에 많은 매개 변수를 전달하지 않아도 됩니다. 응용 프로그램에 필요한 각 스택을 새 스택에서 중첩 스택으로 호출하십시오. 각 애플리케이션에 대한 제품을 작성하십시오. 서비스 템플릿을 제품에 추가하십시오. 포트폴리오에 각 새 제품을 추가하십시오. Deploy the product from the portfolio to deploy the service with the necessary parameters only to start the deployment.
Answer: C,E

NEW QUESTION: 3
An organization has a write-intensive mobile application that uses Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. The application has scaled well, however, costs have increased exponentially because of higher than anticipated Lambda costs. The application's use is unpredictable, but there has been a steady 20% increase in utilization every month.
While monitoring the current Lambda functions, the Solutions Architect notices that the execution-time averages 4.5 minutes. Most of the wait time is the result of a high-latency network call to a 3-TB MySQL database server that is on-premises. A VPN is used to connect to the VPC, so the Lambda functions have been configured with a five-minute timeout.
How can the Solutions Architect reduce the cost of the current architecture?
A. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.Enable API caching on API Gateway to reduce the number of Lambda function invocations.Continue to monitor the AWS Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.Enable Auto Scaling in DynamoDB.
B. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database.Enable local caching in the mobile application to reduce the Lambda function invocation calls.Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.Offload the frequently accessed records from DynamoDB to Amazon ElastiCache.
C. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database.Cache the API Gateway results to Amazon CloudFront.Use Amazon EC2 Reserved Instances instead of Lambda.Enable Auto Scaling on EC2, and use Spot Instances during peak times.Enable DynamoDB Auto Scaling to manage target utilization.
D. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.Enable caching of the Amazon API Gateway results in Amazon CloudFront to reduce the number of Lambda function invocations.Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.Enable DynamoDB Accelerator for frequently accessed records, and enable the DynamoDB Auto Scaling feature.
Answer: A

NEW QUESTION: 4
In which network environment is IS-IS adjacency check important?
A. when a level L1/L2 IS-IS router is neighboring with a Level 1 only or Level 2 only router
B. when IS-IS neighbors are in a broadcast environment like an Ethernet LAN
C. in a multitopology environment where there are different instances of IS-IS running on the same router
D. in an IPv4/IPv6 environment and running single-topology IS-IS
E. when IS-IS neighbors are in an NBMA environment like over Frame Relay
Answer: D
Explanation:
Explanation/Reference:
Explanation: