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NEW QUESTION: 1
A recursive transaction is limited by a DML statement creating records for these two objects:
1. Accounts
2. Contacts
The Account trigger hits a stack depth of 16.
Which statement is true regarding the outcome of the transaction?
A. The transaction fails and all the changes are rolled back.
B. The transaction succeeds as long as the Contact trigger stack depth is less than 16.
C. The transaction succeeds and all the changes are committed to the database.
D. The transaction fails only if the Contact trigger stack depth is greater or equal to 16.
Answer: C

NEW QUESTION: 2
最近、大企業でAmazon RDSとAmazon DynamoDBのコストが予想外に増加しました。同社は、AWS Billing and Cost Managementの遅延に対する可視性を高める必要があります。 AWS Organizationsに関連付けられているさまざまなアカウントがあり、多くの開発アカウントと本番アカウントが含まれています。
組織全体で一貫したタグ付け戦略はありませんが、一貫性のあるタグ付けでAWS CloudFormationを使用してすべてのインフラストラクチャをデプロイする必要があるガイドラインがあります。管理には、既存および将来のすべてのDynamoOBテーブルとRDSインスタンスのコストセンター番号とプロジェクトID番号が必要です。
これらの要件を満たすために、ソリューションアーキテクトはどの戦略を提供する必要がありますか？
A. タグエディターを使用して既存のリソースにタグを付けます。コスト配分ラグを作成してコストセンターとプロジェクトIDを定義するSCPを使用して、リソースにコストセンターとプロジェクトIDがないリソースの作成を制限します。
B. コスト配分タグを作成してコストセンターとプロジェクトIDを定義し、タグが既存のリソースに反映されるまで24時間かかります。既存のフェデレーションロールを更新して、リソースにコストセンターとプロジェクトIDを含まないリソースをプロビジョニングする権限を制限します
C. タグエディターを使用して既存のリソースにタグを付けます。コスト配分タグを作成してコストセンターとプロジェクトIDを定義し、ラグが既存のリソースに反映されるまで24時間かかります。
D. AWS Configルールを使用して、タグ付けされていないリソースについて財務チームに警告します。集中管理されたAWS Lambdaベースのソリューションを作成し、クロスアカウントロールを使用して、タグなしのRDSデータベースとDynamoOBリソースに毎時間タグを付けます
Answer: D

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/

NEW QUESTION: 4
InitCLIツールを使用してユニティストレージシステムにIPアドレスを割り当てることの利点は何ですか？
A. 接続ユーティリティが提供するもの以外の追加サービスを許可します。
B. DHCPアドレスの設定をサポートします。
C. ホストにJavaをインストールする必要はありません。
D. IPv6設定をサポートします。
Answer: C
Explanation:
説明
参照先：https://www.emc.com/collat​​eral/white-papers/h15085-dell-emc-unity-unisphere-overview.pdf（p.7）