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NEW QUESTION: 1
You need to ensure phone-based polling data upload reliability requirements are met. How should you configure monitoring? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

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.

NEW QUESTION: 2
会社は特定の並列処理メカニズムを実行するソフトウェアソリューションを作成しています。ソフトウェアは、いくつかの特別なシナリオで数十のサーバーに拡張できます。このソリューションは、ライセンスベースの独自のライブラリを使用しており、個々のサーバーごとに単一の専用ライセンスをインストールする必要があります。同社は
200ライセンスで、最大200のサーバーノードを同時に実行する予定です。
同社は次の機能を要求しました。
「大規模なライセンスの使用を自動化するメカニズム。」いつでも使用可能なライセンスを確認するために将来使用するダッシュボードの作成。
これらの要件を達成するための最も効果的な方法は何ですか？
A. ライセンスをAmazon DynamoDBテーブルにアップロードします。 Auto Scalingグループを使用してサーバーを起動するAWS CloudFormationテンプレートを作成します。ユーザーデータスクリプトで、DynamoDBテーブルから使用可能なライセンスを取得します。 Auto Scalingライフサイクルフックを作成し、それを使用して、インスタンスの終了後にマッピングを更新します。
B. ライセンスをプライベートAmazon S3バケットにアップロードします。ライセンスのマッピングセクションを含むAWS CloudFormationテンプレートを作成します。テンプレートで、サーバーを起動するAuto Scalingグループを作成します。ユーザーデータスクリプトで、[マッピング]セクションから使用可能なライセンスを取得します。 Auto Scalingライフサイクルフックを作成し、それを使用して、インスタンスの終了後にマッピングを更新します。
C. ライセンスをプライベートAmazon S3バケットにアップロードします。 Amazon SQSキューにS3に保存されているライセンスのリストを入力します。 Auto Scalingグループを使用してサーバーを起動するAWS CloudFormationテンプレートを作成します。ユーザーデータスクリプトで、SQSから使用可能なライセンスを取得します。 Auto Scalingライフサイクルフックを作成し、それを使用して、インスタンスの終了後にライセンスをSQSに戻します。
D. ライセンスをAmazon DynamoDBテーブルにアップロードします。パラメータ--countを使用してサーバーを起動するAWS CLIスクリプトを作成し、min：maxインスタンスを起動します。ユーザーデータスクリプトで、DynamoDBテーブルから使用可能なライセンスを取得します。各インスタンスを監視し、障害が発生した場合はインスタンスを置き換えてから、DynamoDBテーブルを手動で更新します。
Answer: D

NEW QUESTION: 3
Question



Select and Place:

Answer:
Explanation:

NEW QUESTION: 4
The current version information can be viewed in the following commands.
A. display interface
B. display version
C. display current-configuration
D. display ap all
Answer: B

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