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NEW QUESTION: 1
拡張可能なスキーマを格納し、実行するトランザクションを記述するためにSQLを使用して通信できるサーバーは、一般的に次のように呼ばれます。
A. ウェブサーバー
B. ディレクトリサーバ
C. メッセージングサーバ
D. データベースサーバ
Answer: D

NEW QUESTION: 2
注：この質問は、同じシナリオを提示する一連の質問の一部です。 シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。 一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、その質問に戻ることはできません。 その結果、これらの質問はレビュー画面に表示されません。
Table1という名前のテーブルを含むDB1という名前のデータベースがあります。
Table1のすべての更新を監査する必要があります。
解決策：Table1をシステムバージョンのテンポラルテーブルに変換します。
これは目標を達成していますか？
A. いいえ
B. はい
Answer: A
Explanation:
Explanation
A temporal table provides information about data stored in the table at any point in time.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-tables?view=sql-server-2017

NEW QUESTION: 3
A major finance organisation has engaged your company to set up a large data mining application.
Using AWS you decide the best service for this is Amazon Elastic MapReduce(EMR) which you know uses Hadoop.
Which of the following statements best describes Hadoop?
A. Hadoop is an open source python web framework
B. Hadoop is an open source javascript framework
C. Hadoop is an open source Java software framework
D. Hadoop is 3rd Party software which can be installed using AMI
Answer: C
Explanation:
Amazon EMR uses Apache Hadoop as its distributed data processing engine.
Hadoop is an open source, Java software framework that supports data-intensive distributed applications running on large clusters of commodity hardware. Hadoop implements a programming model named
"MapReduce," where the data is divided into many small fragments of work, each of which may be executed on any node in the cluster.
This framework has been widely used by developers, enterprises and startups and has proven to be a reliable software platform for processing up to petabytes of data on clusters of thousands of commodity machines.
Reference: http://aws.amazon.com/elasticmapreduce/faqs/

NEW QUESTION: 4
オンプレミスネットワークには、500 GBのデータを保存するServer1という名前のファイルサーバーが含まれています。
Azure Data Factoryを使用して、Server1からAzure Storageにデータをコピーする必要があります。
新しいデータファクトリを追加します。
次に何をしますか？回答するには、回答領域で適切なオプションを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: Install a self-hosted integration runtime
The Integration Runtime is a customer-managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.
Box 2: Create a pipeline
With ADF, existing data processing services can be composed into data pipelines that are highly available and managed in the cloud. These data pipelines can be scheduled to ingest, prepare, transform, analyze, and publish data, and ADF manages and orchestrates the complex data and processing dependencies References:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-sql-azure-adf