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NEW QUESTION: 1
Sie entwickeln eine Lösung, in der mithilfe einer Azure SQL-Datenbank Benutzerinformationen für eine mobile App gespeichert werden.
Die App speichert vertrauliche Informationen über Benutzer.
Sie müssen vertrauliche Informationen vor Entwicklern verbergen, die die Daten für die mobile App abfragen.
Welche drei Elemente müssen Sie bei der Konfiguration der dynamischen Datenmaskierung angeben? Jede richtige Antwort stellt einen Teil der Lösung dar.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
A. Tabelle
B. Schema
C. Auslöser
D. Index
E. Spalte
Answer: A,B,E
Explanation:
Explanation
In the Dynamic Data Masking configuration page, you may see some database columns that the
recommendations engine has flagged for masking. In order to accept the recommendations, just click Add
Mask for one or more columns and a mask is created based on the default type for this column. You can
change the masking function by clicking on the masking rule and editing the masking field format to a
different format of your choice.

References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-dynamic-data-masking-get-started-portal

NEW QUESTION: 2
小売業の顧客が在庫を確認して製品を注文できるようにする新しいWebアプリケーションの開発をサポートするために、情報セキュリティ管理者は何を推奨すべきですか?
A. アクセス制御マトリックスの作成
B. ベースラインのセキュリティ基準を順守するよう顧客に要求
C. 安全な送信プロトコルの実装
D. 仮想プライベートネットワーク(VPN)経由のアクセス
Answer: C

NEW QUESTION: 3
회사는 초당 1,000 개의 수신 이벤트를 수신하는 중요한 수집 서비스를 AWS에 구축하고 있습니다. 이벤트는 순서대로 처리되어야 하며 이벤트가 유실되지 않습니다. 여러 응용 프로그램이 각 이벤트를 처리해야합니다. 회사는 서비스를 API 게이트웨이를 통해 RESTful 호출로 공개합니다.
솔루션 아키텍트는 이러한 요구 사항에 따라 이벤트를 받기 위해 무엇을 사용해야 합니까?
A. Amazon DynamoDB
B. Amazon SQS
C. Amazon SNS
D. Amazon Kinesis 데이터 스트림
Answer: D
Explanation:
Explanation
Q: How does Amazon Kinesis Data Streams differ from Amazon SQS? Amazon Kinesis Data Streams enables real-time processing of streaming big data. It provides ordering of records, as well as the ability to read and/or replay records in the same order to multiple Amazon Kinesis Applications. The Amazon Kinesis Client Library (KCL) delivers all records for a given partition key to the same record processor, making it easier to build multiple applications reading from the same Amazon Kinesis data stream (for example, to perform counting, aggregation, and filtering). Amazon Simple Queue Service (Amazon SQS) offers a reliable, highly scalable hosted queue for storing messages as they travel between computers. Amazon SQS lets you easily move data between distributed application components and helps you build applications in which messages are processed independently (with message-level ack/fail semantics), such as automated workflows.

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