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NEW QUESTION: 1
Sie installieren eine Microsoft SQL Server-Instanz.
In der Instanz werden Daten gespeichert, die aus zwei Datenbanken extrahiert wurden, die in der Microsoft Azure SQL-Datenbank ausgeführt werden.
Sie beauftragen einen Datenverwalter, um eine interaktive Datenbereinigung sowie eine Ad-hoc-Abfrage und Aktualisierung der Daten durchzuführen.
Sie müssen sicherstellen, dass der Datenverwalter die richtigen Client-Tools erhält, um diese Aufgaben auszuführen.
Welche Tools sollten Sie installieren?
A. SQL Server DATA Tools und Distributed Replay Client
B. Stammdatendienste und SQL Server-Datentools
C. Data Quality Client und SQL Server DATA Tools
D. Data Quality Client und Distributed Replay Client
Answer: C
Explanation:
Explanation
Data Quality Client is a standalone application that enables you to perform knowledge management, data quality projects, and administration in one user interface. The application is designed for both data stewards and DQS administrators. It is a stand-alone executable file that performs knowledge discovery, domain management, matching policy creation, data cleansing, matching, profiling, monitoring, and server administration.
SQL Server Data Tools is a modern development tool that you can download for free to build SQL Server relational databases, Azure SQL databases, Integration Services packages, Analysis Services data models, and Reporting Services reports. With SSDT, you can design and deploy any SQL Server content type with the same ease as you would develop an application in Visual Studio.
Incorrect Answres:
A, D: The SQL Server Distributed Replay feature helps you assess the impact of future SQL Server upgrades.
You can also use it to help assess the impact of hardware and operating system upgrades, and SQL Server tuning.
C: Master Data Services enables you to manage a master set of your organization's data. You can organize the data into models, create rules for updating the data, and control who updates the data.
References:
https://technet.microsoft.com/en-us/library/ff877917(v=sql.110).aspx
https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt
NEW QUESTION: 2
Researchers have found that when very overweight people, who tend to have relatively low metabolic rates, lose weight primarily through dieting, their metabolisms generally remain unchanged. They will thus burn significantly fewer calories at the new weight than do people whose weight is normally at that level.
Such newly thin persons will, therefore, ultimately regain weight until their body size again matches their metabolic rate.
The conclusion of the argument above depends on which of the following assumptions?
A. Because of the constancy of their metabolic rates, people who are at their usual weight normally have as much difficulty gaining weight as they do losing it.
B. Relatively few very overweight people who have dieted down to a new weight tend to continue to consume substantially fewer calories than do people whose normal weight is at that level.
C. The amount of calories that a person usually burns in a day is determined more by the amount that is consumed that day than by the current weight of the individual.
D. Researchers have not yet determined whether the metabolic rates of formerly very overweight individuals can be accelerated by means of chemical agents.
E. The metabolisms of people who are usually not overweight are much more able to vary than the metabolisms of people who have been very overweight.
Answer: B
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 3
조직에는 두 개의 Amazon EC2 인스턴스가 있습니다.
첫 번째는 주문 애플리케이션과 재고 애플리케이션을 실행하는 것입니다.
두 번째는 대기열 시스템을 실행하는 것입니다.
연중 특정 기간 동안 초당 수천 건의 주문이 이루어집니다. 대기열 시스템이 다운되었을 때 일부 주문이 손실되었습니다. 또한 일부 주문이 두 번 처리 되었기 때문에 조직의 재고 애플리케이션에 잘못된 제품 수량이 있습니다.
애플리케이션이 증가하는 주문을 처리 할 수 있도록 하려면 어떻게 해야 합니까?
A. 주문 및 인벤토리 애플리케이션을 자체 Amazon EC2 인스턴스에 배치하고 각 애플리케이션에 대한 Auto Scaling 그룹을 생성합니다. 수신 주문에 Amazon SQS 표준 대기열을 사용하고 재고 애플리케이션에서 멱 등성을 구현합니다.
B. 주문 및 인벤토리 애플리케이션을 자체 AWS Lambda 함수에 배치합니다. 주문 애플리케이션이 Amazon SQS FIFO 대기열에 메시지를 쓰도록 합니다.
C. 주문 및 인벤토리 애플리케이션을 자체 Amazon ECS 컨테이너에 넣고 각 애플리케이션에 대한 Auto Scaling 그룹을 생성합니다. 그런 다음 여러 가용 영역에 메시지 대기열 서버를 배포합니다.
D. 주문 및 인벤토리 애플리케이션을 자체 Amazon EC2 인스턴스에 배치합니다. 수신 주문을 Amazon Kinesis 데이터 스트림에 기록 스트림을 폴링하고 인벤토리 애플리케이션을 업데이트 하도록 AWS Lambda를 구성합니다.
Answer: A
Explanation:
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/standard-queues.html
NEW QUESTION: 4
ソリューションアーキテクトは、AWSクラウドフォーメーションテンプレートを使用して3層のWebアプリケーションをデプロイしています。Webアプリケーションは、AmazonDynamoDBテーブルにユーザーデータを格納および取得するWeb層とアプリケーション層で構成されます。Web層とアプリケーション層はAmazonEC2でホストされます。インスタンスであり、データベース層にパブリックアクセスできないアプリケーションEC2インスタンスは、テンプレートでAPI資格情報を公開せずにDynamoDBテーブルにアクセスする必要がありますこれらの要件を満たすためにソリューションアーキテクトは何をする必要がありますか？
A. DynamoOBテーブルからの読み取りと書き込みに必要なアクセス許可を持つIAS CioudFormationテンプレートでIAMユーザーを作成します。GetAti関数を使用してアクセスキーとシークレットキーを取得し、ユーザーデータを介してアプリケーションインスタンスに渡します。
B. DynamoOBテーブルを読み取るための1AMロールを作成します。インスタンスプロファイルを参照して、ロールをアプリケーションインスタンスに関連付けます。
C. AWS CkHidFormatonテンプレートのパラメーターセクションを使用して、ユーザー入力アクセス権を取得し、作成済みのIAMユーザーマットからの秘密鍵にDynamoOBテーブルからの読み取りと書き込みに必要なアクセス許可を付与します
D. DynamoOBテーブルからの読み取りと書き込みに必要な権限を持つIAMロールを作成しますロールをEC2インスタンスプロファイルに追加し、インスタンスプロファイルをapphcanonインスタンスに関連付けます
Answer: D
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