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NEW QUESTION: 1
What are the three autonomous optimizations available in Autonomous Data Warehouse database?
A. row data formats
B. parallel joins and aggregations
C. fast complex analytics
D. columnar data formats
E. data caching to avoid IO
Answer: B,C,D
Explanation:
Explanation
https://blogs.oracle.com/database/what-to-expect-from-oracle-autonomous-transaction-processing

NEW QUESTION: 2
You have an existing implementation of Microsoft SQL Server Integration Services (SSIS) packages stored in an SSISDB catalog on your on-premises network. The on-premises network does not have hybrid connectivity to Azure by using Site-to-Site VPN or ExpressRoute.
You want to migrate the packages to Azure Data Factory.
You need to recommend a solution that facilitates the migration while minimizing changes to the existing packages. The solution must minimize costs.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Azure SQL database
You can't create the SSISDB Catalog database on Azure SQL Database at this time independently of creating the Azure-SSIS Integration Runtime in Azure Data Factory. The Azure-SSIS IR is the runtime environment that runs SSIS packages on Azure.
Box 2: Azure-SQL Server Integration Service Integration Runtime and self-hosted integration runtime The Integration Runtime (IR) is the compute infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments. Azure-SSIS Integration Runtime (IR) in Azure Data Factory (ADF) supports running SSIS packages.
Self-hosted integration runtime can be used for data movement in this scenario.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/create-azure-integration-runtime
https://docs.microsoft.com/en-us/sql/integration-services/lift-shift/ssis-azure-connect-to-catalog-database

NEW QUESTION: 3
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り、他の質問セットには正しい解決策がない場合があります。
このシナリオで質問に回答すると、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。
Azure Cosmos DBデータベースにSalesという名前のコンテナーがあります。 Salesには120 GBのデータがあります。 Salesの各エントリには、次の構造があります。

パーティションキーはOrderId属性に設定されます。
ユーザーは、ProductNameでデータを取得するクエリを実行すると、クエリの完了に予想よりも長い時間がかかると報告しています。
問題のあるクエリの実行にかかる時間を短縮する必要があります。
解決策：データベースの要求単位（RU）を増やします。
これは目標を達成していますか？
A. いいえ
B. はい
Answer: B
Explanation:
Explanation
To scale the provisioned throughput for your application, you can increase or decrease the number of RUs at any time.
Note: The cost of all database operations is normalized by Azure Cosmos DB and is expressed by Request Units (or RUs, for short). You can think of RUs per second as the currency for throughput. RUs per second is a rate-based currency. It abstracts the system resources such as CPU, IOPS, and memory that are required to perform the database operations supported by Azure Cosmos DB.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/request-units

NEW QUESTION: 4
Windows 10 Proのユーザーは、BitLockerを初期化して、システムが静止しているデータを保護します。コンピューターにTPMがありません。このニーズを満たすために必要なものは次のうちどれですか。
A. USBフラッシュドライブ
B. 内蔵ハードドライブ
C. ネットワーク共有
D. BD-REディスク
Answer: B