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NEW QUESTION: 1
A. head(order([sales_and_marketing].[Products].[Products].[Product line])2)
B. head(([sales_and_marketing].[Products].[Products].[Product line])[,2])
C. head(members([sales_and_marketing].[Products].[Products].[Product line]),2)
D. head(members([sales_and_marketing].[Products].[Products].[Product line],2))
Answer: C
NEW QUESTION: 2
会社には、15分ごとに更新される天気予報を生成するアプリケーションがあり、出力解像度は10億の一意の位置、それぞれサイズは約20バイト（20ギガバイト/予測）です。 1時間ごとに、予測データは世界中で約500万回（1秒あたり1,400リクエスト）にアクセスされ、気象イベント中には最大10倍アクセスされます。予測データは更新ごとに上書きされます。現在の天気予報アプリケーションのユーザーは、各リクエストに対してクエリへの応答が2秒未満で返されることを期待しています。
必要な要求率と応答時間を満たす設計はどれですか？
A. 予測場所をAmazon EFSボリュームに保存します。 Amazon EFSボリュームをマウントしたAmazon EC2インスタンスのAuto ScalingフリートのElastic Load BalancingグループをターゲットとするAmazon CloudFrontディストリビューションを作成します。 CloudFrontディストリビューションで、キャッシュ制御タイムアウトの設定を15分に設定します。
B. 予測の場所をAmazon S3に個別のオブジェクトとして保存します。 EC2インスタンスのAuto ScalingフリートのElastic Load BalancingグループをターゲットとするAmazon CloudFrontディストリビューションを作成し、S3オブジェクトのオリジンをクエリします。 CloudFrontディストリビューションで、キャッシュ制御タイムアウトを15分に設定します。
C. 予測場所をAmazon ESクラスターに保存します。クエリに応答するAWS Lambda関数をオリジンとして、Amazon API GatewayエンドポイントをターゲットとするAmazon CloudFrontディストリビューションを使用します。
キャッシュ制御タイムアウトを15分に設定して、API GatewayステージでAPIキャッシングを有効にします。
D. 予測場所をAmazon ESクラスターに保存します。クエリに応答するAWS Lambda関数をオリジンとして、API GatewayエンドポイントをターゲットとするAmazon CloudFrontディストリビューションを使用します。データをエッジの場所でローカルに15分間キャッシュするAmazon Lambda @ Edge関数を作成します。
Answer: C
Explanation:
Explanation
https://aws.amazon.com/blogs/networking-and-content-delivery/lambdaedge-design-best-practices/
NEW QUESTION: 3
A customer has deployed the Content Server on a Windows-based server with 8GB of RAM and four dual core CPUs. The system is set up in a High Availability (HA) Mode, so there is another Content Server on another machine.Tens of thousands of interactive users are being tested in a late scalability testing cycle. When supporting 90% of the target users, the Content Server process starts to get memory allocation errors. Which change to the architecture will lead to the least delay and capital cost?
A. install the 64 bit versions of the Content Server on the same machines
B. configure additional Content Server instances on the same machines
C. deploy Branch Office Caching Service (BOCS) at the remote sites to offload the UI and Content Server processing
D. add an additional Content Server machine
Answer: B
NEW QUESTION: 4
You develop data engineering solutions for a company. You must migrate data from Microsoft Azure Blob storage to an Azure SQL Data Warehouse for further transformation. You need to implement the solution.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Provision an Azure SQL Data Warehouse instance.
Create a data warehouse in the Azure portal.
Step 2: Connect to the Azure SQL Data warehouse by using SQL Server Management Studio
Connect to the data warehouse with SSMS (SQL Server Management Studio)
Step 3: Build external tables by using the SQL Server Management Studio
Create external tables for data in Azure blob storage.
You are ready to begin the process of loading data into your new data warehouse. You use external tables to load data from the Azure storage blob.
Step 4: Run Transact-SQL statements to load data.
You can use the CREATE TABLE AS SELECT (CTAS) T-SQL statement to load the data from Azure Storage Blob into new tables in your data warehouse.
References:
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/sql-data-warehouse/load-data-from-azure-blob-storage-using-polybase.md