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NEW QUESTION: 1
You develop an SAPUI5 app that updates data for sales order and sales order items on the back-end system.
What do you create to implement a deep insert? (2 answers)
A. Create a flat structure with Sales Order and Sales Order Items, and then add an expand command
B. Create individual structures for both Sales Order and Sales Order Items, and then batch them
C. Create an object structure that defines the hierarchy
D. Create a nested structure for Sales Order and Sales Order Items
Answer: C,D

NEW QUESTION: 2
アプリケーションチームは、社内ツールの1つをオンプレミスハードウェアではなくAWSで実行するようにリファクタリングしています。
すべてのコードは現在Pythonで記述されており、スタンドアロンです。クエリする外部状態ストアまたはリレーショナルデータベースもありません。
開発と本番の間で最も少ない変更が発生する展開パイプラインはどれですか?
A. 開発者は、ネイティブPython環境を使用する必要があります。依存関係が変更され、新しいコードの準備ができたら、AWS CodePipelineとAWS CodeBuildを使用して機能テストを実行し、新しいコンテナーをAmazon ECRにアップロードします。カスタムコンテナでCodePipelineとCodeBuildを使用して、AWS Elastic Beanstalk内で新しいコードの変更をテストします
B. 開発者は、ローカル開発にDockerを使用する必要があります。依存関係が更新されるたびに、AWS SMSを使用してこれらのコンテナーをAmazon EC2のAMIとしてインポートします。 AWS CodePipelineを使用して、Auto Scalingグループに対して新しいコードの変更をテストします。
C. 開発者は、ネイティブのPython環境を使用する必要があります。依存関係が変更され、新しいコンテナーの準備ができたら、AWS CodePipelineとAWS CodeBuildを使用して機能テストを実行し、新しいコンテナーをAmazon ECRにアップロードします。カスタムコンテナでAWS CloudFormationを使用して、新しいAmazon ECSをデプロイします。
Answer: B

NEW QUESTION: 3
You are designing a fact table named FactPurchase in an Azure Synaps Analytics dedicated SQL pool. The table contains purchases from suppliers for a retail store. FactPurchase will contain the following columns.

FactPurchase will have 1 million rows of data added daily and will contain three years of data.
Transact-SQL queries similar to the following query will be executed daily.

A. hash-distributed on PurchaseKey
B. hash-distributed on DateKey
C. replicated
D. round-robin
Answer: D