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NEW QUESTION: 1
Microsoft SQL Server 2014サーバーを管理します。サーバー上のデータベースの1つは、非常にアクティブなOLTPアプリケーションをサポートしています。
ユーザーがアプリケーションにデータを送信すると、異常に長い待機時間が報告されます。
長期間にわたって実行するためにどの照会が1秒以上かかるかを識別する必要があります。
あなたは何をするべきか？
A. Job Activityモニターを使用して、アクティブに実行されているすべてのプロセスを確認します。ジョブ履歴を確認して、各ステップの期間を確認してください。
B. sp_configureを使用して、ブロックされたプロセスのしきい値を設定します。拡張イベントセッションを作成します。
C. SQLプロファイラを使用して、サーバー上で処理されているすべてのクエリを追跡します。期間の値が1,000を超えるクエリをフィルタリングします。
D. クエリウィンドウからsp_whoコマンドを実行します。
E. クエリウィンドウからDBCC TRACEON 1222コマンドを実行し、SQL Serverのイベントログを確認します。
Answer: C
NEW QUESTION: 2
DRAG DROP
You have an Exchange Server 2013 organization.
You successfully migrate the public folders from a previous version of Exchange Server.
You discover that one of the public folder mailboxes almost reached its quota size.
You need to move some of the public folders in the public folder mailbox to another public
folder mailbox. What should you run?
A. Update-PublicFolderMailbox
B. New-PublicFolderMigrationRequest
C. New-PublicFolderMoveRequest
D. Set-PublicFolderMailbox
Answer: A
NEW QUESTION: 3
電話ベースのポーリングデータアップロードの信頼性要件が満たされていることを確認する必要があります。監視をどのように構成する必要がありますか？回答するには、回答エリア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には1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1: FileCapacity
FileCapacity is the amount of storage used by the storage account's File service in bytes.
Box 2: Avg
The aggregation type of the FileCapacity metric is Avg.
Scenario:
All services and processes must be resilient to a regional Azure outage.
All Azure services must be monitored by using Azure Monitor. On-premises SQL Server performance must be monitored.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/metrics-supported
Topic 3, Litware, inc
Overview
General Overview
Litware, Inc, is an international car racing and manufacturing company that has 1,000 employees. Most employees are located in Europe. The company supports racing teams that complete in a worldwide racing series.
Physical Locations
Litware has two main locations: a main office in London, England, and a manufacturing plant in Berlin, Germany.
During each race weekend, 100 engineers set up a remote portable office by using a VPN to connect the datacentre in the London office. The portable office is set up and torn down in approximately 20 different countries each year.
Existing environment
Race Central
During race weekends, Litware uses a primary application named Race Central. Each car has several sensors that send real-time telemetry data to the London datacentre. The data is used for real-time tracking of the cars.
Race Central also sends batch updates to an application named Mechanical Workflow by using Microsoft SQL Server Integration Services (SSIS).
The telemetry data is sent to a MongoDB database. A custom application then moves the data to databases in SQL Server 2017. The telemetry data in MongoDB has more than 500 attributes. The application changes the attribute names when the data is moved to SQL Server 2017.
The database structure contains both OLAP and OLTP databases.
Mechanical Workflow
Mechanical Workflow is used to track changes and improvements made to the cars during their lifetime.
Currently, Mechanical Workflow runs on SQL Server 2017 as an OLAP system.
Mechanical Workflow has a named Table1 that is 1 TB. Large aggregations are performed on a single column of Table 1.
Requirements
Planned Changes
Litware is the process of rearchitecting its data estate to be hosted in Azure. The company plans to decommission the London datacentre and move all its applications to an Azure datacentre.
Technical Requirements
Litware identifies the following technical requirements:
* Data collection for Race Central must be moved to Azure Cosmos DB and Azure SQL Database. The data must be written to the Azure datacentre closest to each race and must converge in the least amount of time.
* The query performance of Race Central must be stable, and the administrative time it takes to perform optimizations must be minimized.
* The datacentre for Mechanical Workflow must be moved to Azure SQL data Warehouse.
* Transparent data encryption (IDE) must be enabled on all data stores, whenever possible.
* An Azure Data Factory pipeline must be used to move data from Cosmos DB to SQL Database for Race Central. If the data load takes longer than 20 minutes, configuration changes must be made to Data Factory.
* The telemetry data must migrate toward a solution that is native to Azure.
* The telemetry data must be monitored for performance issues. You must adjust the Cosmos DB Request Units per second (RU/s) to maintain a performance SLA while minimizing the cost of the Ru/s.
Data Masking Requirements
During rare weekends, visitors will be able to enter the remote portable offices. Litware is concerned that some proprietary information might be exposed. The company identifies the following data masking requirements for the Race Central data that will be stored in SQL Database:
* Only show the last four digits of the values in a column named SuspensionSprings.
* Only Show a zero value for the values in a column named ShockOilWeight.
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