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NEW QUESTION: 1
A. Option B
B. Option A
C. Option C
D. Option D
Answer: A,B
NEW QUESTION: 2
開発チームは、AWS Elastic Beanstalkを使用して、本番環境で負荷分散されたWeb層とAmazonRDSデータベース層で構成される2層アプリケーションをデプロイしています。チームは、RDSインスタンスをElasticBeanstalkから分離したいと考えています。
これはどのように達成できますか？
A. デプロイメントポリシーを変更して、データベースの関連付けを解除します。
B. Elastic Beanstalk CLIを使用して、データベースの関連付けを解除します。
C. AWSCLIを使用してデータベースの関連付けを解除します。
D. AmazonRDSを使用せずに新しいElasticBeanstalk環境を再作成します。
Answer: D
Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/decouple-rds-from-beanstalk/
NEW QUESTION: 3
You have an Azure function hosted in an App Service plan named az400-9940427-func1.
You need to configure az400-9940427-func1 to upgrade the functions automatically whenever new code is committed to the master branch of https://github.com/Azure-Samples/functions-quickstart.
To complete this task, sign in to the Microsoft Azure portal.
Answer:
Explanation:
See solution below.
Explanation
1. Open Microsoft Azure Portal
2. Log into your Azure account, select App Services in the Azure portal left navigation, and then select configure az400-9940427-func1.
3. On the app page, select Deployment Center in the left menu.
4. On the Build provider page, select Azure Pipelines (Preview), and then select Continue.
5. On the Configure page, in the Code section:
For GitHub, drop down and select the Organization, Repository, and Branch you want to deploy continuously.
6. Select Continue.
7. On the Test page, choose whether to enable load tests, and then select Continue.
8. Depending on your App Service plan pricing tier, you may see a Deploy to staging page. Choose whether to enable deployment slots, and then select Continue.
9. After you configure the build provider, review the settings on the Summary page, and then select Finish.
References:
https://docs.microsoft.com/en-us/azure/app-service/deploy-continuous-deployment
NEW QUESTION: 4
企業がAmazon EC2で商用Apache Hadoopクラスターを実行しています。このクラスターは、Amazon S3で大きなファイルをクエリするために毎日使用されています。 Amazon S3のデータは精選されており、追加の変換手順は必要ありません。同社は、Amazon EC2で商用ビジネスインテリジェンス（BI）ツールを使用して、Hadoopクラスターに対してクエリを実行し、データを視覚化しています。
同社は、HadoopクラスターとBIツールの管理に関連するオーバーヘッドコストを削減または排除したいと考えています。同社は、最小限の労力で費用対効果の高いソリューションに移行したいと考えています。視覚化は簡単で、いくつかの基本的な集計手順のみを実行する必要があります。
どのオプションが会社の要件を満たしますか？
A. Amazon EC2で実行されているMySQLデータベースから呼び出されるストアドプロシージャを開発して、EC2を分析し、Amazon S3のファイルを分析します。次に、Amazon EC2で実行されている高速インメモリBLツールを使用して、データを視覚化します。
B. 一時的なAmazon EMRクラスターを毎日起動し、Apache Hiveスクリプトを開発してAmazon S3上のファイルを分析します。ジョブが完了したら、Amazon EMRクラスターをシャットダウンします。 Amazon QuickSightを使用してAmazon EMRに接続し、視覚化を実行します。
C. Amazon Athenaを使用してAmazon S3上のファイルをクエリおよび分析するスクリプトを開発します。次に、Amazon QuickSightを使用してAthenaに接続し、視覚化を実行します。
D. Amazon EC2で実行される商用の抽出、変換、ロード（ETL）ツールを使用して、処理するデータを準備します。次に、Amazon EC2で実行するより高速で安価なBlツールに切り替えて、Amazon S3からのデータを視覚化します。
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.htmlhttps://aws.amazon.com/athena/
