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NEW QUESTION: 1
응용 프로그램에는 수백 명의 사용자가 있습니다. 각 사용자는 여러 장치를 사용하여 응용 프로그램에 액세스 할 수 있습니다. 개발자는 사용하는 장치에 관계없이 이러한 사용자에게 고유 한 식별자를 할당하려고 합니다. 고유 식별자를 얻기 위해 다음 중 어떤 방법을 사용해야 합니까?
A. Amazon Cognito를 사용하여 개발자 인증 ID를 구현하고 이러한 ID에 대한 자격 증명을 얻습니다.
B. 사용자 및 장치의 키 - 값 쌍으로 Amazon DynamoDB에서 사용자 테이블을 만듭니다. 이 키를 고유 한 식별자로 사용하십시오.
C. 사용자의 IAM 생성 액세스 키 ID를 고유 식별자로 사용하고 비밀 키는 저장하지 않습니다.
D. IAM 사용자 및 역할을 사용자에게 할당합니다. 고유 식별자로 고유 IAM 리소스 ID를 사용하십시오.
Answer: D
NEW QUESTION: 2
企業はフェデレーションを使用してユーザーを認証し、AWSアクセス許可を付与します。 SysOps管理者は、誰がAWS Organizationsに新しいAWSアカウントをリクエストしたかを判断するよう求められました。
誰がリクエストを行ったかを判断するために、管理者は何をレビューする必要がありますか?
A. AWS IAM Access Advisor for the federated user name
B. AWS CloudTrail for the federated identity user name
C. Federated identity provider logs for the user name
D. AWS Organizations access log for the federated identity user name
Answer: D
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。
層6〜8のセットアップモニタリングが必要です。
何を設定する必要がありますか?
A. データエンジニアにメールを送信するデータベースのCPU使用率を監視するアラートルール
B. データエンジニアに電子メールを送信するエラスティックプールのストレージの割合を監視するアラートルール
C. データエンジニアに電子メールを送信するエラスティックプールのCPU割合を監視するアラートルール
D. データエンジニアにメールを送信する平均ストレージパーセンテージの拡張イベント
E. データエンジニアにメールを送信するデータベースのストレージの割合を監視するアラートルール
Answer: B
Explanation:
Scenario:
Tiers 6 through 8 must have unexpected resource storage usage immediately reported to data engineers.
Tier 3 and Tier 6 through Tier 8 applications must use database density on the same server and Elastic pools in a cost-effective manner.
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: 4
HOTSPOT
A company uses SharePoint to manage a large number of documents.
The Document ID Service feature is enabled. You need to create a custom class that generates a unique ID for each document.
How should you complete the class definition? (To answer, select the appropriate code segment from each drop-down list in the answer area.).
Hot Area:
Answer:
Explanation: