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NEW QUESTION: 1
통신 회사는 고객 이탈 (예 : 경쟁 업체로 전환하기로 결정한 고객)을 예측해야합니다. 회사는 월간 소비 패턴, 고객 서비스 호출 및 고객이 궁극적으로 서비스를 종료하는지 여부를 포함하여 각 고객에 대한 기록을 보유하고 있습니다. 이 모든 데이터는 Amazon S3에 저장됩니다. 회사는 고객이 곧 변신하여 고객 충성도를 되 찾을 수있는 가능성을 알아야합니다.
이러한 요구 사항을 충족시키기위한 최적의 접근 방법은 무엇입니까?
A. Amazon Machine Learning 서비스를 사용하여 Amazon S3에 저장된 데이터 세트를 기반으로 이진 분류 모델을 작성하십시오. 이 모델은 기존 고객의 churn 속성을 예측하는 데 정기적으로 사용됩니다.
B. AWS QuickSight를 사용하여 Amazon S3에 저장된 데이터에 연결하여 필요한 비즈니스 통찰력을 얻으십시오. 기존 고객에 대한 변동 가능성을 추정하기 위해 변동 경향 그래프를 그려보십시오.
C. Redshift 클러스터를 사용하여 Amazon S3의 데이터를 복사합니다. Redshift에서 이탈 확률을 계산하는 사용자 정의 함수를 만듭니다.
D. EMR을 사용하여 Hive 쿼리를 실행하여 대량 고객의 프로필을 작성합니다. 기존 고객에게 프로파일을 적용하여 이탈 가능성을 판단하십시오.
Answer: B
NEW QUESTION: 2
Your network contains an Active Directory domain named contoso.com.
All client computers run Windows 10 Enterprise and Microsoft Office 2013.
All of the computers are joined to the domain.
Your company purchases a subscription to Office 365.
An administrator creates an Office 365 account for each user and deploys a federated solution for Office 365.
You need to prevent the users from being prompted for a user account and a password each time they access services from Office 365.
Which account should you instruct the users to use when they sign in to their computer?
A. an Office 365 account
B. a Microsoft account
C. a local user account
D. a contoso.com account
Answer: D
NEW QUESTION: 3
A Development team is deploying new APIs as serverless applications within a company. The team is currently using the AWS Management Console to provision Amazon API Gateway, AWS Lambda, and Amazon DynamoDB resources. A Solutions Architect has been tasked with automating the future deployments of these serverless APIs.
How can this be accomplished?
A. Use the AWS Serverless Application Model to define the resources. Upload a YAML template and application files to the code repository. Use AWS CodePipeline to connect to the code repository and to create an action to build using AWS CodeBuild. Use the AWS CloudFormation deployment provider in CodePipeline to deploy the solution.
B. Commit the application code to the AWS CodeCommit code repository. Use AWS CodePipeline and connect to the CodeCommit code repository. Use AWS CodeBuild to build and deploy the Lambda functions using AWS CodeDeploy. Specify the deployment preference type in CodeDeploy to gradually shift traffic over to the new version.
C. Use AWS CloudFormation with a Lambda-backed custom resource to provision API Gateway.
Use the AWS::DynamoDB::Table and AWS::Lambda::Function resources to create the Amazon DynamoDB table and Lambda functions. Write a script to automate the deployment of the CloudFormation template.
D. Use AWS CloudFormation to define the serverless application. Implement versioning on the Lambda functions and create aliases to point to the versions. When deploying, configure weights to implement shifting traffic to the newest version, and gradually update the weights as traffic moves over.
Answer: A
NEW QUESTION: 4
Which protocol does ipv6 use to discover other ipv6 nodes on the same segment?
A. CLNS
B. TCPv6
C. NDP
D. NHRP
E. ARP
Answer: C