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NEW QUESTION: 1
AWS Elastic Beanstalk을 통해 모든 버전이 실행되는 동시에 여러 버전의 응용 프로그램을 동시에 실행하고 싶습니다. 이것이 가능한가?
A. 예. 그러나 AWS Elastic Beanstalk는 2 개의 다중 실행 환경 만 지원하도록 설계되었습니다.
B. 예. AWS Elastic Beanstalk은 여러 개의 여러 실행 환경을 지원하도록 설계되었습니다.
C. 아니요. 그러나 AWS 계정이 2 개있는 경우이 작업을 수행 할 수 있습니다.
D. 아니요. AWS Elastic Beanstalk은 다중 실행 환경을 지원하도록 설계되지 않았습니다.
Answer: B
Explanation:
설명:
AWS Elastic Beanstalk은 다중 실행 환경을 지원하도록 설계되었습니다. 예를 들어 통합 테스팅을 위한 하나의 테스트, 프로덕션 전의 프로덕션 및 프로덕션 용 테스트를 가질 수 있습니다. 각각의 환경은 별도의 AWS 리소스에서 개별적으로 구성되어 실행됩니다.
https://aws.amazon.com/elasticbeanstalk/faqs/

NEW QUESTION: 2
You need to create a purchase requisition for a new computer.
You need to create a purchase requisition and understand the status before you submit it to the workflow.
What is the status of the purchase requisition before submitting it to the workflow?
A. Approved
B. In review
C. In process
D. Draft
Answer: C

NEW QUESTION: 3
データベース環境のパフォーマンスを評価しています。
不必要なロックを避け、更新内容が失われないようにする必要があります。
データシナリオごとにトランザクション分離レベルを選択する必要があります。
各シナリオでどの分離レベルを使用する必要がありますか？ 答えるには、適切な分離レベルを正しいシナリオにドラッグします。 各分離は、1回、複数回、またはまったく使用しないことができます。 コンテンツを表示するには、ペイン間の分割バーをドラッグするか、スクロールする必要があります。

Answer:
Explanation:

Explanation

Box 1: Readcommitted
Read Committed: A transaction T1 executing under this isolation level can only access committed data.
Pros: Good compromise between concurrency and consistency.
Cons: Locking and blocking. The data can change when accessed multiple times within the same transaction.
Box 2: Read Uncommitted
Read Uncommitted (aka dirty read): A transaction T1 executing under this isolation level can access data changed by concurrent transaction(s).
Pros: No read locks needed to read data (i.e. no reader/writer blocking). Note, T1 still takes transaction duration locks for any data modified.
Cons: Data is not guaranteed to be transactionally consistent.
Box 3: Serializable
Serializable: A transaction T1 executing under this isolation level provides the highest data consistency including elimination of phantoms but at the cost of reduced concurrency. It prevents phantoms by taking a range lock or table level lock if range lock can't be acquired (i.e. no index on the predicate column) for the duration of the transaction.
Pros: Full data consistency including phantom protection.
Cons: Locking and blocking. The S locks are held for the duration of the transaction that can lower the concurrency.
References:
https://blogs.msdn.microsoft.com/sqlcat/2011/02/20/concurrency-series-basics-of-transaction-isolation-levels/