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NEW QUESTION: 1
Race CentralのCosmos DBからSQL Databaseに実行されるData Factoryパイプラインを監視しています。
ジョブの実行に45分かかることがわかりました。
ジョブのパフォーマンスを改善するにはどうすればよいですか？
A. ステージングコピーを使用するようにコピーアクティビティを構成します。
B. データ統合ユニットを増やします。
C. コピーアクティビティを構成して圧縮を実行します。
D. コピーアクティビティの並列処理を減らします。
Answer: B
Explanation:
Explanation
Performance tuning tips and optimization features. In some cases, when you run a copy activity in Azure Data Factory, you see a "Performance tuning tips" message on top of the copy activity monitoring, as shown in the following example. The message tells you the bottleneck that was identified for the given copy run. It also guides you on what to change to boost copy throughput. The performance tuning tips currently provide suggestions like:
Use PolyBase when you copy data into Azure SQL Data Warehouse.
Increase Azure Cosmos DB Request Units or Azure SQL Database DTUs (Database Throughput Units) when the resource on the data store side is the bottleneck.
Remove the unnecessary staged copy.
References:
https://docs.microsoft.com/en-us/azure/data-factory/copy-activity-performance
Topic 4, ADatum Corporation
Case study
Overview
ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stored and the website.
DOCDB stored documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains server columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
* Migrate SALESDB and REPORTINGDB to an Azure SQL database.
* Migrate DOCDB to Azure Cosmos DB.
* The sales data including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytic process will perform aggregations that must be done continuously, without gaps, and without overlapping.
* As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
* Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
* Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
* SALESDB must be restorable to any given minute within the past three weeks.
* Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
* Missing indexes must be created automatically for REPORTINGDB.
* Disk IO, CPU, and memory usage must be monitored for SALESDB.

NEW QUESTION: 2

A. NSSA
B. normal
C. stub
D. totally stubby
E. backbone
Answer: B,C

NEW QUESTION: 3
You have four databases that are accessed by using an Online Transaction Processing (OLTP) application.
The databases are stored on a server named SQL1 that has SQL Server 2014 installed. You plan to deploy an additional server that has SQL Server 2014 installed. You need to design a high-availability solution for the databases that meets the following requirements:
* If SQL1 fails, the databases must be available.
* Users must be able to run reports against a secondary copy of the databases.
What should you include in the design? More than one answer choice may achieve the goal. Select the BEST answer.
A. Failover Clustering
B. AlwaysOn availability groups
C. Log shipping
D. Database mirroring
Answer: B
Explanation:
Explanation
The AlwaysOn Availability Groups feature is a high-availability and disaster-recovery solution that provides an enterprise-level alternative to database mirroring. Introduced in SQL Server 2012, AlwaysOn Availability Groups maximizes the availability of a set of user databases for an enterprise. An availability group supports a failover environment for a discrete set of user databases, known as availability databases, that fail over together.

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