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NEW QUESTION: 1

A. Option C
B. Option A
C. Option D
D. Option B
Answer: C

NEW QUESTION: 2
쓰기 일관성을 위해 데이터베이스 트랜잭션에 크게 의존하는 은행이 작성 중입니다.
응용 프로그램은 때때로 데이터베이스의 데이터에 대한 보고서를 생성하고 여러 테이블에서 조인을 수행합니다. 데이터 양이 증가함에 따라 데이터베이스가 자동으로 확장되어야합니다.
데이터베이스를 실행하기 위해 어떤 AWS 서비스를 사용해야 합니까?
A. Amazon S3
B. Amazon DynamoDB
C. Amazon Aurora
D. Amazon Redshift
Answer: B

NEW QUESTION: 3
Where does Informatica 9.1 store encrypted passwords?
A. PowerCenter Repository database
B. Service Manager Repository
C. Domain Configuration database
D. Domain Security database
Answer: A

NEW QUESTION: 4
A company has a single Developer writing code for an automated deployment pipeline. The Developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more Developers to the team but is concerned about code conflicts and lost work. The company also wants to build a test environment to deploy newer versions of code for testing and allow Developers to automatically deploy to both environments when code is changed in the repository.
What is the MOST efficient way to meet these requirements?
A. Enable versioning and branching on each S3 bucket, use the master branch for production code, and create a testing branch for code deployed to testing. Have Developers use each branch for developing in each environment.
B. Create an AWS CodeCommit repository for each project, and use the master branch for production and test code with different deployment pipelines for each environment. Use feature branches to develop new features.
C. Create another S3 bucket for each project for testing code, and use an AWS Lambda function to promote code changes between testing and production buckets. Enable versioning on all buckets to prevent code conflicts.
D. Create an AWS CodeCommit repository for each project, use the master branch for production code, and create a testing branch for code deployed to testing. Use feature branches to develop new features and pull requests to merge code to testing and master branches.
Answer: D

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