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NEW QUESTION: 1
You develop a payment processing solution by using a .NET Framework application.
Customer data is spread across multiple Azure SQL Database servers and is not sharded. When a payment is made from one person to another person, data may be changed in multiple databases at once.
You need to ensure transactional atomicity across databases.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Use the Microsoft Distributed Transaction Coordination (MS DTC) service to configure distributed transactions between each database.
B. In Azure PowerShell, create a new communication relationship between each database that requires distributed transactions.
C. In the solution, use the OpenConnectionForKey function to reference each database that will be included during a distributed transaction.
D. In the solution, create new SqlConnection objects for each database that will be included during a distributed transaction.
Answer: B,D
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-transactions-overview#transactions-acro

NEW QUESTION: 2

A. Test-RMSConfiguration -Sender [email protected]
B. .Test-RMSConfiguration -Mailbox "Halstead, Dean"
C. Get-IRMConfiguration
D. Test-IRMConfiguration -Sender [email protected]
E. Test-IRMConfiguration -Mailbox "Halstead, Dean"
F. Get-RMSConfiguration
Answer: C,D

NEW QUESTION: 3
会社には、ITアプリケーションをホストする複数のAWSアカウントがあります。 Amazon CloudWatch Logsエージェントは、すべてのAmazon EC2インスタンスにインストールされます。会社は、ログストレージ専用の集中型AWSアカウントにすべてのセキュリティイベントを集約したいと考えています。
セキュリティ管理者は、複数のAWSアカウント間でイベントをほぼリアルタイムで収集および相関させる必要があります。
これらの要件を満たすソリューションはどれですか？
A. 各アプリケーションAWSアカウントでCloudWatch Logsストリームを設定し、ロギングAWSアカウントのCloudWatch Logsにイベントを転送します。ロギングAWSアカウントで、Amazon Kinesis Data FirehoseストリームをAmazon CloudWatch Eventsにサブスクライブし、ストリームを使用してログデータをAmazon S3に永続化します。
B. ロギングアカウントでAmazon Kinesis Data Streamsを作成し、各アプリケーションAWSアカウントでCloudWatch Logsストリームにストリームをサブスクライブし、データストリームをソースとしてAmazon Kinesis Data Firehose配信ストリームを構成し、ログデータをロギングAWSアカウント内のAmazon S3バケット。
C. ロギングAWSアカウントのAmazon Kinesis Data Firehoseストリームにデータを発行し、AWS Lambda関数を使用してストリームからメッセージを読み取り、メッセージをData Firehoseにプッシュし、データをAmazon S3に保持するようにCloudWatch Logsエージェントを設定します。
D. CloudWatch Logsを表示する権限を持つ各アプリケーションAWSアカウントにLog Audit IAMロールを作成し、Log Auditロールを引き受けるAWS Lambda関数を設定し、CloudWatch LogsデータのAmazon S3バケットへの1時間ごとのエクスポートを実行しますAWSアカウントのログ。
Answer: B
Explanation:
The solution uses Amazon Kinesis Data Streams and a log destination to set up an endpoint in the logging account to receive streamed logs and uses Amazon Kinesis Data Firehose to deliver log data to the Amazon Simple Storage Solution (S3) bucket. Application accounts will subscribe to stream all (or part) of their Amazon CloudWatch logs to a defined destination in the logging account via subscription filters. https://aws.amazon.com/blogs/architecture/central-logging-in-multi-account-environments/

NEW QUESTION: 4
You have a large datacenter.
You plan to track the hardware failure notifications that occur in the datacenter. You expect to collect approximated 2 TB of data each month. You need to recommend a solution that meets the following requirements:
* Operators must be informed by email as soon as a hardware failure occurs.
* All event data associated with a hardware failure must be preserved for 24 months.
The solution must minimize costs.

Answer:
Explanation: